Research Wiki - User contributions [en]

Main Page

2026-04-14T14:09:33Z

Admin 3julmthh: Reorganized: clean front page. Companies on separate page. All wiki links.

__NOTOC__
Research wiki tracking the European digital health ecosystem — companies, projects, ontologies, funding, and market analysis.

== News ==
* [[News Log]] — Daily news feed with descriptions and sources

== Projects ==
{| class="wikitable"
! Project !! Focus !! Status
|-
| [[AIDAVA]] || AI-powered health data curation & PHKG || EU Horizon Europe (2022-2026)
|-
| [[AIDAVA Related Companies]] || Startups in the AIDAVA problem space || 20 companies mapped
|-
| [[AIDAVA Contacts]] || Partner people and emails || Internal reference
|-
| [[AIDAVA Documents]] || Project PDFs with summaries || Internal reference
|}

== Companies ==
* [[Companies]] — All 107+ companies with category, founded, valuation, revenue
* [[Nordic Preventive Health]] — B2B and B2C preventive health in Nordics (19 companies)

== Topics ==
{| class="wikitable"
! Topic !! Description
|-
| [[AI Clinical Documentation]] || AI that generates clinical notes from consultations
|-
| [[Soft Funding]] || Norwegian grants and non-dilutive funding for healthtech
|-
| [[Investors]] || VCs and investors active in Nordic digital health
|-
| [[Interoperability]] || Health data standards and exchange
|-
| [[Knowledge Graphs in Health]] || Personal health knowledge graphs and semantic data
|-
| [[Ontologies for Longitudinal Health Records]] || SNOMED, FHIR, LOINC, OMOP — the full ontology stack
|-
| [[Preventive Health]] || Preventive and longevity health services
|-
| [[Mental Health]] || Digital mental health platforms
|-
| [[Telehealth]] || Virtual care and telemedicine
|-
| [[Blood Tech]] || Blood testing and biomarker platforms
|-
| [[Longitudinal Journals]] || Longitudinal patient record platforms
|}

== Norway Focus ==
* [[Soft Funding Norway]] — Grants, SkatteFUNN, IPN, Innovasjon Norge
* [[Investors Norway Digital Health]] — Norwegian healthtech VCs
* [[Nordic Health Incubators]] — Aleap, Health Incubator Helsinki, etc.

== Regions ==
{| class="wikitable"
! Region !! Key Markets
|-
| [[Nordics]] || Norway, Sweden, Denmark, Finland
|-
| [[France]] || Paris digital health cluster
|-
| [[Germany]] || Berlin, Munich — DiGA ecosystem
|-
| [[Benelux]] || Netherlands, Belgium
|-
| [[Southern Europe]] || Spain, Portugal, Italy, Greece
|-
| [[Central Europe]] || Czech Republic, Austria, Switzerland, Ireland, Estonia
|-
| [[Southeast Asia]] || Singapore, Malaysia, Indonesia
|-
| [[EU Regulation]] || EHDS, EU AI Act, CE marking
|-
| [[China/APAC]] || Chinese and Asian digital health
|}

== Sources ==
* [[Publications]] — All source publications used in this wiki
* Norwegian revenue: proff.no
* Swedish revenue: allabolag.se
* Funding: EU-Startups, ArcticStartup, Tech.eu, Crunchbase, Failory

== About ==
This wiki is maintained by the [[AIDAVA]] research team. Data is updated regularly via automated newsletters and manual research.

Companies

2026-04-14T14:09:33Z

Admin 3julmthh: Extracted company tables from Main Page

__NOTOC__
All 107+ digital health companies tracked in this wiki.

== Recent Startups (Founded 2020+) ==
50 companies founded in the last 5 years

{| class="wikitable sortable"
! Company !! Country !! Category !! Founded !! Valuation !! Revenue 2024 !! Description
|-
| [[Actithera]] || Norway || Medical Devices || ~2024 || — || — || Radiopharmaceutical company developing radioligand therapies for cancer treatment. Radioligand therapy targets cancer cells with radioactive compounds, offering precision treatment with fewer side effects than traditional chemotherapy.
|-
| [[Dr. Dropin]] || Norway || Telehealth & Primary Care || ~2020 || ~€30-50M (€19.2M raised) || 24.8M NOK || Private GP platform offering both digital and physical clinics. Democratizing private healthcare access.
|-
| [[Journalia]] || Norway || AI Admin & Automation || ~2024 || $1M (Sep 2025); est. ~€2-5M || 0 || AI platform to free up healthcare professionals' time by automating administrative tasks in healthcare settings.
|-
| [[Lioness Medtech]] || Norway || Medical Devices || ~2023 || Undisclosed || — || Norwegian medtech company partnering with Hyperfine to deploy portable MRI brain imaging systems in Norwegian hospitals.
|-
| [[Nolla Health]] || Norway || Preventive & Skin Health || ~2023 || $4.5M (Sep 2025); est. ~€5-15M || 0 || AI-powered skin health platform combining AI with real doctors. Offers acne treatment and mole scan/skin cancer assessment via mobile app.
|-
| [[Noteless]] || Norway || AI Clinical Documentation || 2023 || €3.5M Seed (Nov 2025); est. ~€5-15M || 3.3M NOK || AI-powered clinical documentation that automatically generates medical notes during patient consultations using speech recognition and NLP. Saves clinicians up to 2 hours per day.
|-
| [[Acorai]] || Sweden || Remote Patient Monitoring || ~2022 || ~€20-40M (€4.2M+ raised) || 0 || Non-invasive intracardiac pressure monitor for heart failure management. The device measures pressure inside the heart without invasive catheterization, enabling continuous monitoring of heart failure patients.
|-
| [[BOOST Pharma]] || Sweden || AI Drug Discovery & Genomics || ~2020 || €3.1M+ (Nov 2025); est. ~€5-15M || — || Cell therapy for children with osteogenesis imperfecta (genetic bone disease / brittle bone disease).
|-
| [[Cellcolabs]] || Sweden || AI Drug Discovery & Genomics || ~2021 || ~€30-50M ($12M raised) || 16.7M SEK || Scalable stem cell manufacturing to lower global stem cell costs by 90%.
|-
| [[Dentio]] || Sweden || AI Admin & Automation || ~2024 || ~€50-100M (a16z backed) || 0 || AI-powered dental admin solutions — automating clinical documentation and workflow for dentists.
|-
| [[Loovi]] || Sweden || Women's & Men's Health || ~2025 || €1M (Feb 2026); est. ~€2-5M || — || Preventive health and longevity platform. Details on product are limited.
|-
| [[Meela]] || Sweden || Digital Mental Health || ~2024 || €2.6M Seed (Jul 2024); est. ~€5-10M || 7.5M SEK || Patient-therapist matching platform for mental health. Uses algorithms to match patients with the most suitable therapist based on needs, preferences, and therapeutic approach.
|-
| [[Neko Health]] || Sweden || AI Diagnostics & Imaging || 2022 || ~$200M (Series A, 2023) || 24.4M SEK || AI-powered full-body scanning for preventive health. Comprehensive health screening in ~15 minutes using proprietary sensors and AI.
|-
| [[Nyctea Technologies]] || Sweden || AI Drug Discovery & Genomics || ~2024 || Undisclosed; early biotech || — || Swedish deeptech startup bringing electrified purification to drug development to accelerate medical innovation.
|-
| [[Sakura]] || Sweden || Digital Mental Health || ~2024 || Pre-seed (Apr 2025); est. ~€1-3M || — || B2B mental health solutions for employers. Employee wellbeing platform.
|-
| [[Tandem Health]] || Sweden || AI Clinical Documentation || 2023 || ~€250M implied (€42.6M Series A, Jun 2025) || 2.7M SEK || AI-native operating system for healthcare providers. Started with clinical documentation, expanding to clinical coding, decision support, and care coordination. Goal: free clinicians from administrative burden.
|-
| [[TrialMe]] || Sweden || Women's & Men's Health || ~2024 || Undisclosed || — || Fixing the data gap that keeps women out of clinical trials. TrialMe addresses the historical underrepresentation of women in clinical research by developing tools and methodologies to ensure gender-balanced trial participation.
|-
| [[Hemi Health]] || Denmark || Neuro & Migraine || ~2024 || €4M (2025); est. ~€10-20M || — || Female-led Danish startup raising EUR 4 million to expand migraine and concussion care internationally.
|-
| [[Interhuman AI]] || Denmark || AI Admin & Automation || 2023 || ~€5-10M (est.) || — || Building the social intelligence layer for AI. Developing AI that understands human social context and emotional nuance.
|-
| [[Teton.ai]] || Denmark || AI Diagnostics & Imaging || 2020 || ~€50-80M (est.) || — || Danish healthtech using AI to make healthcare affordable and accessible. Computer vision-based patient monitoring in hospitals.
|-
| [[VentriJect]] || Denmark || Remote Patient Monitoring || ~2022 || €1.7M (Aug 2025); est. ~€5-10M || — || Danish medtech startup that secured EUR 1.7 million to expand its cardiorespiratory fitness monitoring device, the Siesmofit system.
|-
| [[AIATELLA]] || Finland || AI Diagnostics & Imaging || 2020 || ~€5-10M (est.) || — || AI-powered cardiovascular imaging tools. Automates analysis of cardiac imaging to improve diagnosis speed and accuracy.
|-
| [[Audicin]] || Finland || Digital Mental Health || ~2023 || $1.9M (2025); est. ~€5-10M || — || Finnish neurowellness startup that raised $1.9M to scale real-time nervous system technology across apps and wearables. Audicin aims to hack recovery while you work by monitoring and modulating the nervous system.
|-
| [[Bliss]] || Finland || Digital Mental Health || 2024 || ~€1-3M (est.) || — || Albanian-Finnish startup building culturally intelligent AI for therapy. AI understands cultural context and emotional nuance across different cultures.
|-
| [[MultivisionDx]] || Finland || AI Diagnostics & Imaging || 2022 || ~€3-5M (est.) || — || Finnish startup advancing spatial biology cancer diagnostics. Uses AI to analyze tissue samples at spatial resolution for precision oncology.
|-
| [[Better Medicine]] || Estonia || AI Diagnostics & Imaging || 2022 || ~€3-5M (est.) || — || Estonian MedTech developing AI model for kidney cancer detection. CE-certified AI for radiology.
|-
| [[Torch]] || Latvia || Health Data & Interoperability || 2023 || Acquired by OpenAI for ~$100M (2025) || — || Latvian medical startup building 'medical memory' for AI. Acquired by OpenAI to integrate medical context and patient history into ChatGPT Health.
|-
| [[Self.co]] || Lithuania || AI Diagnostics & Imaging || 2022 || €2.56M (2025); est. ~€5-10M || — || Lithuanian digital health startup making allergy and food intolerance testing accessible and affordable across Europe. Addresses the problem of allergy misdiagnosis affecting nearly half of Europeans.
|-
| [[Caro Health]] || Netherlands || Health Data & Interoperability || 2022 || Undisclosed || — || Dutch AI healthtech startup that partnered with U.S.-based HOPCo to expand AI-driven healthcare solutions across Europe and North America.
|-
| [[Delphyr]] || Netherlands || AI Admin & Automation || 2023 || €1.75M (2025); est. ~€3-5M || — || AI platform reducing healthcare administrative workloads by automating clinical documentation and administrative tasks for healthcare providers.
|-
| [[Fellos]] || Netherlands || Women's & Men's Health || 2023 || €2M (2025); est. ~€3-5M || — || Dutch men's health startup tackling sensitive issues like erectile dysfunction and premature ejaculation through telehealth consultations.
|-
| [[Guideways]] || Netherlands || Regulatory & Compliance || 2023 || €1M+ (2025); est. ~€3-5M || — || Platform that accelerates FDA and CE mark approvals for MedTech companies, reducing the compliance burden that eats up 75% of MedTech budgets.
|-
| [[Healthplus.ai]] || Netherlands || AI Diagnostics & Imaging || 2023 || €2.3M (2025); est. ~€5-10M || — || AI-powered health diagnostics platform leveraging machine learning to improve clinical decision-making and patient outcomes.
|-
| [[OpenUp]] || Netherlands || Digital Mental Health || 2020 || ~€80-100M implied (€20M round, 2025) || — || Employee mental health platform providing on-demand access to psychologists and mental wellbeing tools for companies across Europe.
|-
| [[B!LOBA]] || Belgium || Health Data & Interoperability || 2020 || — || — || B!LOBA is a Belgian company involved in data management and health data solutions.
|-
| [[Mindoo]] || Belgium || AI Admin & Automation || 2023 || €5M Seed (2025); est. ~€10-20M || — || AI workforce platform automating hospital intake, clinical scribes, and administrative workflows to reduce workload for hospital and medical staff.
|-
| [[Avi Medical]] || Germany || Telehealth & Primary Care || 2020 || €80M+ raised; est. ~€200-300M || — || Tech-enabled primary care clinics providing modern, patient-centered healthcare. Operates multiple clinic locations across Germany combining digital tools with in-person care.
|-
| [[Wellster]] || Germany || Women's & Men's Health || 2020 || Multiple rounds; est. ~€30-50M || — || Digital health platform for men's health and chronic condition management, offering telemedicine consultations and treatment plans.
|-
| [[Mediflash]] || France || Healthcare Staffing & Operations || 2020 || €25M+ raised; est. ~€50-80M || — || Healthcare staffing platform connecting medical professionals with healthcare facilities. Gig-economy approach to solving hospital staffing shortages.
|-
| [[Qare]] || France || Telehealth & Primary Care || 2021 || Est. ~€50-100M || — || Online medical consultations and telemedicine platform for patients in France. Offers video consultations with doctors, specialists, and mental health professionals.
|-
| [[Pragmatech]] || Spain || Regulatory & Compliance || 2022 || €650k (2025); est. ~€1-3M || — || Spanish HealthTech with CE-marked AI software for antibiotic prescribing, helping clinicians make evidence-based antimicrobial stewardship decisions.
|-
| [[Tucuvi]] || Spain || AI Admin & Automation || 2020 || ~€60-80M implied (€17M raised) || — || Spanish healthtech that built LOLA, a voice AI assistant for healthcare that automates patient follow-up calls, reporting up to 80% automation of clinical workflows.
|-
| [[DP Innovations]] || Hungary || Health Data & Interoperability || ~2024 || — || — || Winner of EIT Health InnoStars Awards. Health tech innovation from Central/Eastern Europe.
|-
| [[Kardi AI]] || Czech Republic || AI Diagnostics & Imaging || 2021 || ~€3-5M (est.) || — || Czech medtech developing AI-powered heart monitoring technology. Expanding across Europe.
|-
| [[Ahead Health]] || Switzerland || Preventive & Skin Health || 2022 || ~€10-20M (est.) || — || Preventive healthcare platform focused on longevity and early detection of chronic disease.
|-
| [[MyWay Digital Health]] || Switzerland || AI Diagnostics & Imaging || 2020 || ~€5-10M (est.) || — || AI-powered chronic disease management platform specializing in diabetes. Uses predictive analytics to prevent complications.
|-
| [[ProVerum]] || Ireland || Medical Devices || 2020 || ~€200M+ (est.) || — || Irish MedTech developing a new minimally invasive treatment for benign prostatic hyperplasia (BPH). Largest Irish MedTech raise in 2025.
|-
| [[MiyaHealth]] || Singapore || Health Data & Interoperability || 2020 || N/A || — || Singaporean health tech building infrastructure for Southeast Asian and European healthcare systems. Focus on interoperability and data.
|-
| [[Alma]] || US || Digital Mental Health || ~2020 || — || — || Mental health platform providing therapy matching and practice management tools for mental health providers.
|-
| [[Nyra health]] || US || Other || 2021 || ~€50-80M (est.) || — || Digital neurotherapy platform scaling treatment for stroke and dementia patients. Austria loses €65B annually to stroke and dementia.
|}

== Established Companies (Founded before 2020) ==
57 companies with longer track records

{| class="wikitable sortable"
! Company !! Country !! Category !! Founded !! Valuation !! Revenue 2024 !! Description
|-
| [[Dignio]] || Norway || Remote Patient Monitoring || ~2010 || ~€30-50M (est.) || 96.6M NOK || Remote patient monitoring and digital care platform for chronic disease management. Scalable solution to monitor patients remotely and prevent hospitalizations.
|-
| [[Holberg EEG]] || Norway || AI Diagnostics & Imaging || ~2018 || Undisclosed; est. ~€5-15M || 0.4M NOK || AI-based EEG interpretation for neurodiagnostics. Developed autoSCORE AI analysis tool for automated EEG review.
|-
| [[No Isolation]] || Norway || Elderly & Home Care || ~2015 || Undisclosed; est. ~€10-30M || 37.9M NOK || Communication robots (AV1) for chronically ill children to maintain social connection with school and friends while unable to attend in person.
|-
| [[Doctrin]] || Sweden || Telehealth & Primary Care || ~2016 || ~€80-100M (est.) || 43.7M SEK || Digital healthcare platform for primary care and specialist consultations. Digital triage and consultation to reduce waiting times.
|-
| [[Kry / Livi]] || Sweden || Telehealth & Primary Care || 2015 || ~€1.5B (peak €2B, 2021) || 1,233M SEK || Leading European telehealth platform. Video doctor consultations and digital healthcare services.
|-
| [[Min Doktor]] || Sweden || Telehealth & Primary Care || 2016 || ~€100M (est.) || — || Digital healthcare platform offering online doctor consultations and prescriptions in Sweden.
|-
| [[Mindler]] || Sweden || Digital Mental Health || ~2018 || Acquired ieso Digital Health UK for ~£20M+ || 196M SEK || Digital therapy platform offering cognitive behavioral therapy (CBT) for mental health conditions.
|-
| [[Corti]] || Denmark || AI Clinical Documentation || 2016 || ~€200M+ (est.) || — || AI assistant for healthcare consultations. Listens to patient-clinician conversations and provides real-time suggestions, documentation, and quality assurance.
|-
| [[Aiforia]] || Finland || AI Diagnostics & Imaging || 2013 || ~€100M+ (Nasdaq-listed) || — || AI-powered pathology platform for analyzing tissue samples. Received European approval for AI-assisted breast cancer diagnosis. Used in hospital laboratories across Europe.
|-
| [[BCB Medical]] || Finland || Health Data & Interoperability || 2003 || N/A || — || Clinical data management and outcomes measurement platform for hospitals. Collects and analyzes patient-reported outcomes and clinical data across multiple registries.
|-
| [[Blueprint Genetics]] || Finland || AI Drug Discovery & Genomics || 2012 || Acquired by Quest Diagnostics || — || Genetic testing company providing comprehensive genetic diagnostics for rare diseases. Uses proprietary bioinformatics platform. Acquired by Quest Diagnostics in 2020.
|-
| [[Medanets]] || Finland || AI Admin & Automation || 2004 || N/A || — || Mobile nursing documentation app that integrates with hospital EHR systems. Enables nurses to record patient data at bedside, reducing documentation time and errors.
|-
| [[Medixine]] || Finland || Remote Patient Monitoring || 2007 || N/A || — || Remote patient monitoring and digital care platform enabling hospitals to monitor patients at home. Provides clinical dashboards and patient engagement tools.
|-
| [[MeeDoc]] || Finland || Telehealth & Primary Care || 2013 || N/A || — || Telemedicine platform enabling video consultations between patients and doctors. Used by healthcare providers across the Nordics and Europe.
|-
| [[Meru Health]] || Finland || Digital Mental Health || 2016 || ~€100M+ (est.) || — || Digital mental health platform offering therapist-guided programs for depression, anxiety, and burnout. Acquired Kaiku Health. Used by employers and health plans in the US and Europe.
|-
| [[Nightingale Health]] || Finland || AI Diagnostics & Imaging || 2013 || ~€300M+ (Nasdaq-listed) || — || Blood testing platform that measures 250+ biomarkers from a single blood sample using NMR spectroscopy. AI-powered risk prediction for chronic diseases. Partnering with UK Biobank and Finnish biobanks.
|-
| [[NurseBuddy]] || Finland || Healthcare Staffing & Operations || 2015 || N/A || — || Home care management platform connecting carers with elderly patients. Provides scheduling, route optimization, and care documentation for home care agencies.
|-
| [[Oura]] || Finland || Connected Devices & Wearables || 2013 || $11B (2025) || — || Smart ring for health and sleep tracking. Uses sensors to monitor heart rate, body temperature, blood oxygen, and sleep patterns. One of Finland's most valuable startups.
|-
| [[Kilo Health]] || Lithuania || Health Data & Interoperability || 2018 || ~€100-200M (private est.) || — || Lithuanian digital health company and startup backer that builds, co-founds, and invests in health tech startups globally. Operates a portfolio of digital health products including fasting, keto, and wellness apps.
|-
| [[Sunrise Group]] || Belgium || AI Diagnostics & Imaging || 2018 || ~€100-150M implied ($29M round) || — || Digital sleep clinic offering home-based sleep apnea testing and treatment. Uses FDA-cleared wearable device for overnight sleep monitoring and AI-powered analysis.
|-
| [[Ada Health]] || Germany || AI Diagnostics & Imaging || 2011 || $100M+ raised; est. ~$300-500M || — || AI-powered symptom assessment and health guide platform. Uses medical knowledge base and AI to help users understand their health symptoms and navigate to appropriate care.
|-
| [[Averbis]] || Germany || Health Data & Interoperability || 2000 || — || — || Averbis is a German company specializing in NLP (Natural Language Processing) and clinical text mining for healthcare.
|-
| [[Cara Care]] || Germany || Digital Therapeutics || 2016 || — || — || Digital therapeutic app for irritable bowel syndrome (IBS) and digestive health. DiGA-approved in Germany, prescribed by physicians and reimbursed by health insurers.
|-
| [[Centogene]] || Germany || AI Drug Discovery & Genomics || 2006 || Sold operating assets for €8.7M (2025); was Nasdaq-listed || — || Rare disease diagnostics and multiomic data platform leveraging AI for genetic insights. Maintains one of the world's largest rare disease datasets.
|-
| [[Clue]] || Germany || Women's & Men's Health || 2013 || $40M+ raised; est. ~$100-200M || — || Science-backed period tracking and reproductive health app. One of the most popular cycle tracking apps globally with millions of users.
|-
| [[Fernarzt]] || Germany || Telehealth & Primary Care || 2017 || Established; est. ~€20-40M || — || German telemedicine platform offering online doctor consultations, e-prescriptions, and remote medical services across Germany.
|-
| [[HelloBetter]] || Germany || Digital Mental Health || 2015 || ~€40-60M (€10M Series A) || — || Digital mental health platform offering evidence-based online therapy programs. Provides DiGA-approved courses for various mental health conditions.
|-
| [[Kaia Health]] || Germany || Digital Therapeutics || 2016 || Acquired by Sword for $285M (2025) || — || Digital therapeutic platform for musculoskeletal and COPD conditions using AI motion tracking. DiGA-approved in Germany for back pain therapy.
|-
| [[Medbelle]] || Germany || Surgery & Simulation || 2016 || €25M+ raised; est. ~€50-80M || — || Digital hospital platform for surgical care management. Digitizes the entire patient journey from consultation through surgery and recovery.
|-
| [[Selfapy]] || Germany || Digital Mental Health || 2016 || — || — || Digital mental health platform providing online therapy courses for depression and anxiety. DiGA-approved in Germany, prescribed and reimbursed by statutory health insurance.
|-
| [[Vara]] || Germany || AI Diagnostics & Imaging || 2018 || Multiple rounds; est. ~€50-100M || — || AI-powered breast cancer screening platform deployed in Greece and multiple European markets. Uses machine learning to improve mammography reading accuracy and reduce false positives.
|-
| [[Viomedo]] || Germany || AI Drug Discovery & Genomics || 2016 || Est. ~€5-15M || — || Platform connecting patients with clinical trials and research studies in Germany. Helps match eligible patients to relevant ongoing clinical research.
|-
| [[Zava]] || Germany || Telehealth & Primary Care || 2000 || — || — || Online doctor consultation and prescription platform operating across Europe. Offers remote consultations, diagnostics, and prescription delivery.
|-
| [[Alan]] || France || Health Insurance & Booking || 2016 || €5B valuation (2025) || — || Digital health insurance company offering simple, transparent health coverage. One of Europe's most valuable healthtech startups with over 500,000 members.
|-
| [[BioSerenity]] || France || Connected Devices & Wearables || 2014 || €40M+ raised; est. ~€80-100M || — || Connected medical devices and digital platform for neurology and cardiology diagnostics. Offers wearable EEG and ECG monitoring with cloud-based analysis.
|-
| [[Doctolib]] || France || Telehealth & Primary Care || 2013 || €5.8B valuation (2022) || — || Leading European online medical appointment booking and telemedicine platform. Dominant in France with 70M+ monthly users and expanding across Europe.
|-
| [[Incepto]] || France || Surgery & Simulation || 2018 || Est. ~€20-40M || — || AI-powered medical imaging platform deploying radiology AI applications in clinical settings. Provides a marketplace for AI imaging algorithms from multiple vendors.
|-
| [[Lifen]] || France || Health Data & Interoperability || 2015 || Multiple rounds; est. ~€50-100M || — || Digital health document management platform connecting healthcare stakeholders. Enables secure document exchange and interoperability between hospitals, labs, and practitioners.
|-
| [[Nabla]] || France || AI Clinical Documentation || 2018 || $44M raised; est. ~$200M valuation || — || AI clinical assistant that automates medical documentation. Generates clinical notes from doctor-patient conversations using speech recognition and NLP.
|-
| [[Owkin]] || France || AI Drug Discovery & Genomics || 2016 || $300M+ raised; est. $1B+ valuation || — || AI-powered drug discovery and development platform using federated learning to train models on distributed hospital data without moving patient records.
|-
| [[Padoa]] || France || Healthcare Staffing & Operations || 2017 || €30M+ Series B; est. ~€100-150M || — || Digital platform for occupational health management. Digitizes workplace health services including medical exams, risk assessments, and employee health monitoring.
|-
| [[SeqOne Genomics]] || France || AI Drug Discovery & Genomics || 2017 || Series A; est. ~€30-50M || — || AI-driven genomic analysis platform for precision medicine and clinical diagnostics. Enables rapid interpretation of genomic sequencing data for clinical decision-making.
|-
| [[Sim&Cure]] || France || Surgery & Simulation || 2014 || — || — || Patient-specific simulation software for interventional radiology and aneurysm treatment planning. Enables clinicians to simulate procedures before operating.
|-
| [[Synapse Medicine]] || France || Health Data & Interoperability || 2017 || Series B+; est. ~€50-100M || — || Digital prescription and medication management platform helping healthcare professionals prescribe safely and manage drug interactions.
|-
| [[Withings]] || France || Connected Devices & Wearables || 2008 || Multiple rounds; est. ~€200-300M || — || Connected health devices manufacturer — smartwatches, smart scales, blood pressure monitors, and sleep trackers. Pioneer in consumer health monitoring.
|-
| [[Biorce]] || Spain || AI Drug Discovery & Genomics || 2019 || ~€200M implied ($52.5M Series A, 2025) || — || AI-driven clinical trials platform accelerating drug development. Uses machine learning to optimize trial design, patient recruitment, and protocol optimization.
|-
| [[Qida]] || Spain || Elderly & Home Care || 2019 || ~€100-150M implied (€37M raised) || — || Spain's 'Amazon for aging care' — digital home care network connecting elderly patients with caregivers and home healthcare services.
|-
| [[Sword Health]] || Portugal || Digital Therapeutics || 2015 || $4B valuation (2025) || — || Leading digital physical therapy and musculoskeletal care platform. Expanded into mental health. One of Portugal's most valuable startups at $4B valuation.
|-
| [[Advantis Medical Imaging]] || Greece || AI Diagnostics & Imaging || 2019 || FDA-cleared; est. ~€10-20M || — || Greek medical imaging AI company that received FDA clearance for brain MRI analysis software, enabling automated detection of neurological conditions.
|-
| [[Doctoranytime]] || Greece || Telehealth & Primary Care || 2016 || €1M+ (2020); est. ~€5-15M || — || Healthcare marketplace connecting patients with doctors for online and in-person appointments. Originally from Belgium, expanded across Southern Europe including Greece.
|-
| [[Ontotext]] || Bulgaria || Health Data & Interoperability || 2000 || — || — || Ontotext is a Bulgarian semantic technology company, a subsidiary of Sirma AI EAD and a leading provider of knowledge graph databases and AI solutions. In 2024, Ontotext merged with Semantic Web Company to create '''Graphwise''', a knowledge graph and AI powerhouse.
|-
| [[Egnosis]] || Romania || Health Data & Interoperability || 2018 || — || — || Egnosis is a Romanian health technology company specializing in health data intermediation and digital health solutions.
|-
| [[Aktiia]] || Switzerland || Connected Devices & Wearables || 2018 || ~€100M+ (est.) || — || Swiss healthtech with continuous blood pressure monitoring via wrist-worn device. Rebranded to Hilo. Clinically validated.
|-
| [[Qure.ai]] || Singapore || AI Diagnostics & Imaging || 2016 || ~$100M+ (est.) || — || AI-powered chest X-ray and CT analysis. Won multimillion-dollar Gates Foundation grant for AI lung ultrasound. Used in 30+ countries for TB screening.
|-
| [[Naluri]] || Malaysia || Digital Mental Health || 2017 || ~€30-50M (est.) || — || Southeast Asia's leading digital mental health and chronic care platform. Combines AI with human psychologists. Active in Malaysia, Singapore, Indonesia.
|-
| [[Insilico Medicine]] || Hong Kong || AI Drug Discovery & Genomics || 2014 || Est. $1B+ (AI drug discovery leader) || — || AI-driven drug discovery company using deep learning for target identification, molecule generation, and clinical trial optimization. One of the most established AI pharma companies globally.
|-
| [[Spring Health]] || US || Digital Mental Health || 2016 || — || — || Comprehensive mental health solution for employers, offering therapy, coaching, and medication management.
|}

== Browse ==
[[:Category:Company|All companies]]

== Sources ==
* Norwegian revenue: proff.no
* Swedish revenue: allabolag.se
* Funding data: EU-Startups, ArcticStartup, Tech.eu, Crunchbase
* Valuations: Estimated from last funding round or public filings

[[Category:Topics]]

Ontologies for Longitudinal Health Records

2026-04-14T14:08:00Z

Admin 3julmthh: Added AIDAVA Ontology Architecture section — reference KG, PHKG instance model, use case extensions

__NOTOC__
Ontologies, terminologies, and standards used in longitudinal health records and Personal Health Knowledge Graphs (PHKG). This page maps the technology stack used by [[AIDAVA]] and related projects for health data interoperability, FAIRification, and semantic integration.

== Core Clinical Terminologies ==

=== SNOMED CT ===
'''Systematized Nomenclature of Medicine — Clinical Terms'''
* '''Purpose:''' Comprehensive clinical terminology covering diseases, findings, procedures, body structures, organisms, substances, etc.
* '''Scale:''' 350,000+ concepts, 1M+ relationships
* '''Governance:''' SNOMED International (non-profit)
* '''Use in PHKG:''' Primary concept representation for clinical data. AIDAVA uses SNOMED CT as the backbone ontology for its reference knowledge graph — each PHKG instance maps clinical observations to SNOMED concepts.
* '''Key feature:''' Compositional — can express complex clinical concepts by combining simpler ones (post-coordination)
* '''Mapping:''' Maps to ICD-10, LOINC, Read Codes, and national terminologies
* '''Source:''' https://www.snomed.org

=== LOINC ===
'''Logical Observation Identifiers Names and Codes'''
* '''Purpose:''' Universal standard for identifying medical laboratory observations, clinical measurements, and survey instruments
* '''Scale:''' 100,000+ codes
* '''Governance:''' Regenstrief Institute
* '''Use in PHKG:''' Identifies what was measured (lab test, vital sign, clinical observation). SNOMED describes the concept; LOINC identifies the measurement.
* '''Key feature:''' Every code has 6 axes: component, property, time, system, scale, method
* '''Example:''' LOINC 2345-7 = "Glucose [Mass/volume] in Serum or Plasma"
* '''Source:''' https://loinc.org

=== ICD-10 / ICD-11 ===
'''International Classification of Diseases'''
* '''Purpose:''' Standard diagnostic classification for epidemiology, health management, and clinical purposes
* '''Governance:''' WHO
* '''Use in PHKG:''' Disease classification and mortality coding. Less granular than SNOMED CT but universally mandated for billing and reporting.
* '''Key difference from SNOMED:''' ICD is a classification (flat hierarchy for reporting); SNOMED is a terminology (rich relationships for clinical reasoning)
* '''Mapping:''' SNOMED CT ↔ ICD-10 maps maintained by SNOMED International
* '''Source:''' https://icd.who.int

=== RxNorm ===
'''Normalized Names for Clinical Drugs'''
* '''Purpose:''' Standardized nomenclature for clinical drugs in the US, increasingly used globally
* '''Governance:''' NLM (US National Library of Medicine)
* '''Use in PHKG:''' Medication representation in longitudinal records — linking prescriptions, dispensing, and administration
* '''Key feature:''' Provides ingredient, dose form, and strength as separate concepts
* '''Source:''' https://www.nlm.nih.gov/research/umls/rxnorm

== Health Data Models & Standards ==

=== HL7 FHIR ===
'''Fast Healthcare Interoperability Resources'''
* '''Purpose:''' Standard for exchanging healthcare data electronically
* '''Current version:''' FHIR R4 (Release 4), R5 available
* '''Governance:''' HL7 International
* '''Use in PHKG:''' Defines the resource types (Patient, Observation, Condition, MedicationRequest, etc.) that structure health data exchange. AIDAVA maps its PHKG nodes to FHIR resource profiles.
* '''Key feature:''' RESTful API, JSON/XML, modular resources
* '''FHIR Shorthand (FSH):''' Authoring language for FHIR Implementation Guides and profiles
* '''Source:''' https://hl7.org/fhir

=== OMOP CDM ===
'''Observational Medical Outcomes Partnership Common Data Model'''
* '''Purpose:''' Standardized data model for observational health data — enables multi-site research
* '''Governance:''' OHDSI (Observational Health Data Sciences and Informatics)
* '''Use in PHKG:''' Common representation for longitudinal observational data across institutions. Researchers can run the same analytics across different hospital systems.
* '''Key tables:''' Person, Condition_occurrence, Drug_exposure, Measurement, Observation, Procedure_occurrence
* '''Mapped terminologies:''' SNOMED CT (conditions), RxNorm (drugs), LOINC (measurements)
* '''Tools:''' ATLAS (cohort definition), OHDSI network studies
* '''Source:''' https://ohdsi.org

=== openEHR ===
'''Open Electronic Health Record'''
* '''Purpose:''' Open standard for EHR architecture — archetype-based clinical data modeling
* '''Governance:''' openEHR Foundation
* '''Use in PHKG:''' Clinical Knowledge Manager (CKM) provides archetypes (reusable clinical data models). Unlike FHIR (exchange-focused), openEHR is storage/persistence-focused.
* '''Key feature:''' Two-level modeling — reference model (technical) + archetypes (clinical)
* '''Different from FHIR:''' openEHR defines how to STORE data; FHIR defines how to EXCHANGE it
* '''Source:''' https://www.openehr.org

=== Phenopackets ===
'''Phenotype Data Exchange Format'''
* '''Purpose:''' Standard format for representing phenotypic data linked to genomic data
* '''Governance:''' GA4GH
* '''Use in PHKG:''' Structured phenotype representation for rare disease, linking patient phenotypes (HPO terms) to genomic variants
* '''Source:''' https://phenopackets.org

== Domain-Specific Ontologies ==

=== Human Phenotype Ontology (HPO) ===
* '''Purpose:''' Standard vocabulary for phenotypic abnormalities in human disease
* '''Scale:''' 18,000+ terms, 300,000+ annotations to diseases
* '''Use in PHKG:''' Describing patient phenotypes longitudinally — tracking symptoms and signs over time
* '''Source:''' https://hpo.jax.org

=== Gene Ontology (GO) ===
* '''Purpose:''' Standard representation of gene function across species
* '''Domains:''' Molecular function, biological process, cellular component
* '''Use in PHKG:''' Linking genomic data to functional annotations in longitudinal genomics records
* '''Source:''' http://geneontology.org

=== Orphanet Nomenclature ===
* '''Purpose:''' Standard terminology for rare diseases
* '''Scale:''' 6,000+ rare diseases
* '''Use in PHKG:''' Rare disease identification in longitudinal records, linking to Orphacodes for cross-border data exchange
* '''Source:''' https://www.orpha.net

=== GA4GH Standards ===
'''Global Alliance for Genomics and Health'''
* '''Purpose:''' Framework for responsible genomic data sharing
* '''Key standards:'''
** '''Beacon API:''' Query whether a dataset contains a particular genomic variant
** '''VCF:''' Variant Call Format for genomic variants
** '''Phenopackets:''' Phenotype data linked to genomics (see above)
** '''Passport/DUO:''' Data use ontology for access control
* '''Use in PHKG:''' Genomic data representation and sharing in longitudinal health records
* '''Source:''' https://www.ga4gh.org

== FAIRification & Semantic Web ==

=== FAIR Principles ===
'''Findable, Accessible, Interoperable, Reusable'''
* Applied to health data through:
** Persistent identifiers (DOIs, URIs)
** Rich metadata (Dublin Core, DCAT)
** Standard vocabularies (all ontologies above)
** Open protocols (REST APIs, SPARQL)
* '''AIDAVA connection:''' AIDAVA's first technology pillar is "Automation of quality enhancement and FAIRification" of collected health data

=== RDF / OWL / SPARQL ===
* '''RDF:''' Resource Description Framework — graph data model for representing knowledge
* '''OWL:''' Web Ontology Language — for defining ontologies with rich axioms
* '''SPARQL:''' Query language for RDF databases
* '''Use in PHKG:''' PHKGs are typically represented as RDF graphs, with SNOMED/LOINC/FHIR as the ontology layer

=== BioPortal ===
* '''Purpose:''' Repository of biomedical ontologies
* '''Scale:''' 900+ ontologies, 14M+ terms
* '''Governance:''' Stanford BMIR
* '''Use in PHKG:''' Source for ontology mappings, concept searches, and cross-ontology alignment
* '''Source:''' https://bioportal.bioontology.org

== Ontology Integration Architecture (PHKG) ==

A typical Personal Health Knowledge Graph integrates these ontologies in layers:

# '''Top:''' Patient-specific nodes (this patient, this observation, this encounter)
# '''Middle:''' FHIR Resource profiles structuring the data (Observation, Condition, Medication)
# '''Bottom:''' Terminology codes (SNOMED CT for concepts, LOINC for measurements, RxNorm for drugs)

Cross-cutting: ICD for classification/reporting, OMOP CDM for research analytics, HPO for phenotyping, GA4GH for genomics.

== Key Research Papers ==

* "An ontology-based rare disease common data model harmonising international registries, FHIR, and Phenopackets" — Nature (2025)
* "CONNECTED: leveraging digital twins and personal knowledge graphs in healthcare digitalization" — Frontiers (2025)
* "FAIRification of health-related data using semantic web technologies in the Swiss Personalized Health Network" — Nature (2024)
* "A multimodal vision knowledge graph of cardiovascular disease" — Nature (2025)
* "Genomics on FHIR — a feasibility study to support a National Strategy for Genomic Medicine" — Nature (2024)
* "TIMER: temporal instruction modeling and evaluation for longitudinal clinical records" — npj Digital Medicine (2025)

== AIDAVA Ontology Architecture ==

[[AIDAVA]] uses a reference knowledge graph architecture where each Personal Health Knowledge Graph (PHKG) is an instance of a common reference model based on multiple ontologies.

=== Reference Knowledge Graph ===

The AIDAVA reference knowledge graph integrates:

* '''SNOMED CT''' — Primary clinical concept representation. All clinical observations, diagnoses, procedures, and findings are mapped to SNOMED CT concepts.
* '''HL7 FHIR Resource Profiles''' — Structural framework. Data is organized according to FHIR resource types (Patient, Observation, Condition, MedicationRequest, Encounter, etc.) with profiles specific to each use case.
* '''LOINC''' — Measurement identification. Each laboratory test, vital sign, and clinical measurement is identified by its LOINC code.
* '''Domain-specific terminologies''' — Additional vocabularies for specific use cases:
** '''ICD-10/11''' — Disease classification for reporting
** '''RxNorm''' — Medication nomenclature
** '''Orphanet''' — Rare disease coding
** '''HPO''' — Phenotype annotation (use case specific)

=== PHKG Instance Model ===

Each patient's PHKG is structured as:

# '''Patient node''' — central entity with demographic and identifier data
# '''Encounter nodes''' — healthcare visits, linked to temporal data
# '''Observation nodes''' — clinical measurements (LOINC-coded, SNOMED-described)
# '''Condition nodes''' — diagnoses and problems (SNOMED CT coded)
# '''Procedure nodes''' — treatments and interventions (SNOMED CT coded)
# '''Medication nodes''' — prescriptions and administrations (RxNorm coded)

Relationships between nodes encode temporal sequences, causal links, and clinical context — enabling longitudinal analysis across the patient's entire health history.

=== Use Case Specific Extensions ===

'''Breast Cancer Registry (Use Case 1):'''
* Extends with: TNM staging, histology codes (ICD-O-3), treatment protocols
* Data sources: Structured registry data across 3 university hospitals
* Languages: Dutch, German, Estonian

'''Cardiovascular Longitudinal Records (Use Case 2):'''
* Extends with: Cardiac imaging codes, biomarker reference ranges, risk scores
* Data sources: Heterogeneous EHR data integrated over time
* Languages: Dutch, German, Estonian

=== FAIRification Pipeline ===

AIDAVA's ontology architecture enables automated FAIRification:

# '''Findable:''' Each concept gets a persistent URI linked to the ontology
# '''Accessible:''' FHIR API endpoints expose data in standard formats
# '''Interoperable:''' SNOMED/LOINC/FHIR mappings enable cross-institutional data exchange
# '''Reusable:''' Rich metadata and provenance tracking via ontology relationships

== See Also ==
* [[AIDAVA]]
* [[AIDAVA Related Companies]]
* [[Interoperability]]
* [[Knowledge Graphs in Health]]
* [[Publications]]

[[Category:Topics]]

Nordic Preventive Health

2026-04-14T13:54:41Z

Admin 3julmthh: B2B and B2C preventive health companies in Nordics. 19 companies across 4 categories.

__NOTOC__
Nordic companies in B2B (employer-sponsored) and B2C (consumer) preventive health. Includes health screening, biomarker testing, wellness platforms, longevity services, and corporate health benefits operating in Norway, Sweden, Denmark, and Finland.

== Market Context ==
The Nordic preventive health market is driven by:
* '''Friskvårdsbidrag''' (Sweden): Tax-free employer wellness benefit (5,000 SEK/year per employee). Companies like Loovi are directly approved.
* '''Bedriftshelsetjeneste''' (Norway): Mandatory occupational health services for employers. Digital platforms are disrupting traditional providers.
* '''Työterveys''' (Finland): Occupational healthcare system with strong digital adoption.
* '''High digital adoption:''' Nordic consumers and employers expect digital-first health solutions.
* '''Longevity trend:''' Growing demand for proactive health optimization beyond basic wellness.

== B2B: Employee Health & Wellness ==

{| class="wikitable sortable"
! Company !! Country !! Model !! Founded !! Funding !! Description
|-
| [[OpenUp]] || Netherlands/Nordics || Employee mental health || 2020 || €20M || On-demand access to psychologists and mental wellbeing tools for companies. Expanding across Nordics.
|-
| [[Sakura]] || Sweden || B2B mental health || 2024 || Pre-seed || Employee wellbeing platform providing mental health support to employers.
|-
| [[Peppy]] || UK/Nordics || Specialist health benefits || 2018 || $10M Series A || B2B platform for menopause, fertility, pregnancy support. Employer-sponsored specialist health.
|-
| [[Padoa]] || France/Nordics || Occupational health || 2017 || €30M+ Series B || Digital platform for occupational health management — medical exams, risk assessments, employee monitoring.
|-
| [[Mindler]] || Sweden || Digital CBT therapy || 2018 || 196M SEK rev || Digital therapy platform used by employers for employee mental health benefits.
|-
| [[Kry / Livi]] || Sweden || Corporate telehealth || 2015 || 1,233M SEK rev || Kry Företag provides corporate telehealth services to Swedish employers.
|-
| [[Mediflash]] || France/Nordics || Healthcare staffing || 2020 || €25M+ || Gig-economy staffing platform — indirectly supports corporate health by providing on-demand healthcare workers.
|}

== B2C: Consumer Preventive Health ==

{| class="wikitable sortable"
! Company !! Country !! Model !! Founded !! Funding !! Description
|-
| [[Neko Health]] || Sweden || AI body scanning || 2022 || $65M+ || Full-body AI scanning at dedicated centers. Comprehensive health screening in 15 minutes. Daniel Ek (Spotify) backed.
|-
| [[Loovi]] || Sweden || Biomarker subscription || 2023 || €1M Seed || 120+ biomarkers annually via drop-in blood tests at 80+ clinics. Doctor consultations + personalised longevity plan. From 295 SEK/month.
|-
| [[Sigrid]] || Sweden || Metabolic health || 2019 || $5M || Non-systemic metabolic health platform using SiPore® technology. Expanding US physician channel.
|-
| [[Holo]] || Sweden || Personalised lab testing || 2022 || €1M || Personalised lab testing combined with daily health tracking for consumers.
|-
| [[Audicin]] || Finland || Audio nervous system || 2022 || €1.6M || Audio-based treatments for nervous system overstimulation. Neurowellness consumer product.
|-
| [[Nolla Health]] || Norway || AI skin screening || 2024 || $4.5M || AI-powered skin health platform — acne treatment and mole/skin cancer screening via mobile app.
|-
| [[Sunrise Group]] || Belgium || Home sleep testing || 2018 || $29M || Home-based sleep apnea testing and treatment. Consumer-facing digital sleep clinic.
|-
| [[Ahead Health]] || Switzerland || Preventive longevity || 2022 || €5.1M || Preventive healthcare platform focused on longevity and early detection.
|-
| [[VentriJect]] || Denmark || Cardiac fitness || 2020 || €1.7M || Cardiorespiratory fitness monitoring device for consumer and clinical use.
|}

== B2B2C: Employer-Enabled Consumer Health ==

{| class="wikitable sortable"
! Company !! Country !! Model !! Founded !! Funding !! Description
|-
| [[Self.co]] || Lithuania || Allergy testing || 2022 || €2.56M || Allergy and food intolerance testing. Can be offered as employer benefit.
|-
| [[Withings]] || France || Connected devices || 2008 || Multiple || Smart scales, watches, blood pressure monitors. Often used in corporate wellness programs.
|-
| [[Oura]] || Finland || Health tracking ring || 2013 || $900M+ || Smart ring for sleep, activity, and readiness tracking. Corporate wellness programs and insurance partnerships.
|-
| [[Clue]] || Germany || Cycle tracking || 2013 || $40M+ || Science-backed period tracking app. Employer health benefits programs.
|}

== Corporate Health Providers (Established) ==

{| class="wikitable sortable"
! Company !! Country !! Model !! Founded !! Description
|-
| [[Aleris]] || Norway/Sweden || Private healthcare || 1998 || Major Nordic private healthcare provider offering preventive health checks, corporate health services.
|-
| [[Capio]] || Sweden || Private healthcare || 1994 || Private healthcare chain with preventive health programs for employers.
|-
| [[Terveystalo]] || Finland || Occupational health || 1987 || Finland's largest private healthcare provider. Strong digital platform for occupational health services. Publicly listed.
|-
| [[Dignio]] || Norway || Remote monitoring || 2010 || Remote patient monitoring platform used for chronic disease prevention. 96.6M NOK revenue.
|}

== Market Opportunities ==

* '''Friskvårdsbidrag channel:''' Swedish employers give 5,000 SEK/year per employee as tax-free wellness benefit. Companies approved for this get direct B2B2C distribution.
* '''Occupational health disruption:''' Norway and Finland's mandatory occupational health systems are ripe for digital-first platforms replacing traditional providers.
* '''Longevity subscription:''' Loovi-style subscription models (295-590 SEK/month) that bundle biomarker testing + doctor consultations + personalised plans.
* '''Insurance partnerships:''' Nordic health insurers increasingly covering preventive health services — channel for Neko Health, Loovi, etc.
* '''Corporate data:''' Aggregated (anonymized) employee health data is valuable for employers and insurers — but privacy regulation (GDPR) limits use.

== See Also ==
* [[Preventive Health]]
* [[Nordics]]
* [[Mental Health]]

[[Category:Topics]]

Peppy

2026-04-14T13:53:35Z

Admin 3julmthh: Created from Nordic preventive health research

{{Company
|name=Peppy
|location=London, UK (Nordic operations)
|category=Women's & Men's Health
|founded=2018
|funding=$10M Series A
|website=https://www.peppy.health
}}

== What They Do ==
B2B health platform providing specialist support for menopause, fertility, pregnancy, and early parenthood. Employer-sponsored benefit that gives employees access to specialist health practitioners. Active in Nordics.

== Funding ==
'''Valuation:''' Not disclosed. $10M Series A led by Felix Capital.

== See Also ==
* [[Women's & Men's Health]]

[[Category:Company]]
[[Category:UK]]

Holo

2026-04-14T13:53:35Z

Admin 3julmthh: Created from Nordic preventive health research

{{Company
|name=Holo
|location=Sweden
|category=Preventive & Skin Health
|founded=2022
|funding=€1M (2025)
|website=https://www.holo.health
}}

== What They Do ==
Personalised lab testing and daily-life health tracking platform. Brings personalised biomarker testing to consumers, combining blood tests with lifestyle data for health optimization.

== Funding ==
'''Valuation:''' Not disclosed. €1M raised (2025).

== See Also ==
* [[Sweden]]
* [[Preventive Health]]

[[Category:Company]]
[[Category:Sweden]]

Sigrid

2026-04-14T13:53:34Z

Admin 3julmthh: Created from Nordic preventive health research

{{Company
|name=Sigrid
|location=Stockholm, Sweden
|category=Preventive & Skin Health
|founded=2019
|funding=$5M (2024)
|website=https://sigrid.com
}}

== What They Do ==
Non-systemic metabolic health platform using proprietary SiPore® technology. Targets metabolic health at the gut level without systemic drug exposure. Expanding into oral care via exclusive global partnership.

== Funding ==
'''Valuation:''' Not disclosed. $5M raised (2024) to accelerate US growth.
'''Investors:''' Not disclosed.

== Traction ==
* Successful US pilot program
* Exclusive global partnership to commercialize SiPore® in oral care
* Expanding US physician channel

== See Also ==
* [[Sweden]]
* [[Preventive Health]]

[[Category:Company]]
[[Category:Sweden]]

Ontologies for Longitudinal Health Records

2026-04-14T13:47:32Z

Admin 3julmthh: Research page: ontologies, terminologies, standards for PHKG and longitudinal records

__NOTOC__
Ontologies, terminologies, and standards used in longitudinal health records and Personal Health Knowledge Graphs (PHKG). This page maps the technology stack used by [[AIDAVA]] and related projects for health data interoperability, FAIRification, and semantic integration.

== Core Clinical Terminologies ==

=== SNOMED CT ===
'''Systematized Nomenclature of Medicine — Clinical Terms'''
* '''Purpose:''' Comprehensive clinical terminology covering diseases, findings, procedures, body structures, organisms, substances, etc.
* '''Scale:''' 350,000+ concepts, 1M+ relationships
* '''Governance:''' SNOMED International (non-profit)
* '''Use in PHKG:''' Primary concept representation for clinical data. AIDAVA uses SNOMED CT as the backbone ontology for its reference knowledge graph — each PHKG instance maps clinical observations to SNOMED concepts.
* '''Key feature:''' Compositional — can express complex clinical concepts by combining simpler ones (post-coordination)
* '''Mapping:''' Maps to ICD-10, LOINC, Read Codes, and national terminologies
* '''Source:''' https://www.snomed.org

=== LOINC ===
'''Logical Observation Identifiers Names and Codes'''
* '''Purpose:''' Universal standard for identifying medical laboratory observations, clinical measurements, and survey instruments
* '''Scale:''' 100,000+ codes
* '''Governance:''' Regenstrief Institute
* '''Use in PHKG:''' Identifies what was measured (lab test, vital sign, clinical observation). SNOMED describes the concept; LOINC identifies the measurement.
* '''Key feature:''' Every code has 6 axes: component, property, time, system, scale, method
* '''Example:''' LOINC 2345-7 = "Glucose [Mass/volume] in Serum or Plasma"
* '''Source:''' https://loinc.org

=== ICD-10 / ICD-11 ===
'''International Classification of Diseases'''
* '''Purpose:''' Standard diagnostic classification for epidemiology, health management, and clinical purposes
* '''Governance:''' WHO
* '''Use in PHKG:''' Disease classification and mortality coding. Less granular than SNOMED CT but universally mandated for billing and reporting.
* '''Key difference from SNOMED:''' ICD is a classification (flat hierarchy for reporting); SNOMED is a terminology (rich relationships for clinical reasoning)
* '''Mapping:''' SNOMED CT ↔ ICD-10 maps maintained by SNOMED International
* '''Source:''' https://icd.who.int

=== RxNorm ===
'''Normalized Names for Clinical Drugs'''
* '''Purpose:''' Standardized nomenclature for clinical drugs in the US, increasingly used globally
* '''Governance:''' NLM (US National Library of Medicine)
* '''Use in PHKG:''' Medication representation in longitudinal records — linking prescriptions, dispensing, and administration
* '''Key feature:''' Provides ingredient, dose form, and strength as separate concepts
* '''Source:''' https://www.nlm.nih.gov/research/umls/rxnorm

== Health Data Models & Standards ==

=== HL7 FHIR ===
'''Fast Healthcare Interoperability Resources'''
* '''Purpose:''' Standard for exchanging healthcare data electronically
* '''Current version:''' FHIR R4 (Release 4), R5 available
* '''Governance:''' HL7 International
* '''Use in PHKG:''' Defines the resource types (Patient, Observation, Condition, MedicationRequest, etc.) that structure health data exchange. AIDAVA maps its PHKG nodes to FHIR resource profiles.
* '''Key feature:''' RESTful API, JSON/XML, modular resources
* '''FHIR Shorthand (FSH):''' Authoring language for FHIR Implementation Guides and profiles
* '''Source:''' https://hl7.org/fhir

=== OMOP CDM ===
'''Observational Medical Outcomes Partnership Common Data Model'''
* '''Purpose:''' Standardized data model for observational health data — enables multi-site research
* '''Governance:''' OHDSI (Observational Health Data Sciences and Informatics)
* '''Use in PHKG:''' Common representation for longitudinal observational data across institutions. Researchers can run the same analytics across different hospital systems.
* '''Key tables:''' Person, Condition_occurrence, Drug_exposure, Measurement, Observation, Procedure_occurrence
* '''Mapped terminologies:''' SNOMED CT (conditions), RxNorm (drugs), LOINC (measurements)
* '''Tools:''' ATLAS (cohort definition), OHDSI network studies
* '''Source:''' https://ohdsi.org

=== openEHR ===
'''Open Electronic Health Record'''
* '''Purpose:''' Open standard for EHR architecture — archetype-based clinical data modeling
* '''Governance:''' openEHR Foundation
* '''Use in PHKG:''' Clinical Knowledge Manager (CKM) provides archetypes (reusable clinical data models). Unlike FHIR (exchange-focused), openEHR is storage/persistence-focused.
* '''Key feature:''' Two-level modeling — reference model (technical) + archetypes (clinical)
* '''Different from FHIR:''' openEHR defines how to STORE data; FHIR defines how to EXCHANGE it
* '''Source:''' https://www.openehr.org

=== Phenopackets ===
'''Phenotype Data Exchange Format'''
* '''Purpose:''' Standard format for representing phenotypic data linked to genomic data
* '''Governance:''' GA4GH
* '''Use in PHKG:''' Structured phenotype representation for rare disease, linking patient phenotypes (HPO terms) to genomic variants
* '''Source:''' https://phenopackets.org

== Domain-Specific Ontologies ==

=== Human Phenotype Ontology (HPO) ===
* '''Purpose:''' Standard vocabulary for phenotypic abnormalities in human disease
* '''Scale:''' 18,000+ terms, 300,000+ annotations to diseases
* '''Use in PHKG:''' Describing patient phenotypes longitudinally — tracking symptoms and signs over time
* '''Source:''' https://hpo.jax.org

=== Gene Ontology (GO) ===
* '''Purpose:''' Standard representation of gene function across species
* '''Domains:''' Molecular function, biological process, cellular component
* '''Use in PHKG:''' Linking genomic data to functional annotations in longitudinal genomics records
* '''Source:''' http://geneontology.org

=== Orphanet Nomenclature ===
* '''Purpose:''' Standard terminology for rare diseases
* '''Scale:''' 6,000+ rare diseases
* '''Use in PHKG:''' Rare disease identification in longitudinal records, linking to Orphacodes for cross-border data exchange
* '''Source:''' https://www.orpha.net

=== GA4GH Standards ===
'''Global Alliance for Genomics and Health'''
* '''Purpose:''' Framework for responsible genomic data sharing
* '''Key standards:'''
** '''Beacon API:''' Query whether a dataset contains a particular genomic variant
** '''VCF:''' Variant Call Format for genomic variants
** '''Phenopackets:''' Phenotype data linked to genomics (see above)
** '''Passport/DUO:''' Data use ontology for access control
* '''Use in PHKG:''' Genomic data representation and sharing in longitudinal health records
* '''Source:''' https://www.ga4gh.org

== FAIRification & Semantic Web ==

=== FAIR Principles ===
'''Findable, Accessible, Interoperable, Reusable'''
* Applied to health data through:
** Persistent identifiers (DOIs, URIs)
** Rich metadata (Dublin Core, DCAT)
** Standard vocabularies (all ontologies above)
** Open protocols (REST APIs, SPARQL)
* '''AIDAVA connection:''' AIDAVA's first technology pillar is "Automation of quality enhancement and FAIRification" of collected health data

=== RDF / OWL / SPARQL ===
* '''RDF:''' Resource Description Framework — graph data model for representing knowledge
* '''OWL:''' Web Ontology Language — for defining ontologies with rich axioms
* '''SPARQL:''' Query language for RDF databases
* '''Use in PHKG:''' PHKGs are typically represented as RDF graphs, with SNOMED/LOINC/FHIR as the ontology layer

=== BioPortal ===
* '''Purpose:''' Repository of biomedical ontologies
* '''Scale:''' 900+ ontologies, 14M+ terms
* '''Governance:''' Stanford BMIR
* '''Use in PHKG:''' Source for ontology mappings, concept searches, and cross-ontology alignment
* '''Source:''' https://bioportal.bioontology.org

== Ontology Integration Architecture (PHKG) ==

A typical Personal Health Knowledge Graph integrates these ontologies in layers:

# '''Top:''' Patient-specific nodes (this patient, this observation, this encounter)
# '''Middle:''' FHIR Resource profiles structuring the data (Observation, Condition, Medication)
# '''Bottom:''' Terminology codes (SNOMED CT for concepts, LOINC for measurements, RxNorm for drugs)

Cross-cutting: ICD for classification/reporting, OMOP CDM for research analytics, HPO for phenotyping, GA4GH for genomics.

== Key Research Papers ==

* "An ontology-based rare disease common data model harmonising international registries, FHIR, and Phenopackets" — Nature (2025)
* "CONNECTED: leveraging digital twins and personal knowledge graphs in healthcare digitalization" — Frontiers (2025)
* "FAIRification of health-related data using semantic web technologies in the Swiss Personalized Health Network" — Nature (2024)
* "A multimodal vision knowledge graph of cardiovascular disease" — Nature (2025)
* "Genomics on FHIR — a feasibility study to support a National Strategy for Genomic Medicine" — Nature (2024)
* "TIMER: temporal instruction modeling and evaluation for longitudinal clinical records" — npj Digital Medicine (2025)

== See Also ==
* [[AIDAVA]]
* [[AIDAVA Related Companies]]
* [[Interoperability]]
* [[Knowledge Graphs in Health]]
* [[Publications]]

[[Category:Topics]]

AIDAVA Related Companies

2026-04-14T12:14:22Z

Admin 3julmthh: Full research: 20 companies with funding, valuations, AIDAVA technology mapping

__NOTOC__
EU and global startups and companies working on longitudinal health records, personal health knowledge graphs (PHKG), health data interoperability, and AI-driven data curation — the core value proposition of the [[AIDAVA]] project.

These companies operate in the same problem space as AIDAVA: making fragmented, heterogeneous health data interoperable, AI-ready, and reusable across clinical care, research, and patient empowerment.

== Longitudinal Health Records & Patient Data Platforms ==

{| class="wikitable sortable"
! Company !! Country !! Founded !! Funding !! Valuation !! Description
|-
| [[LynxCare]] || Belgium || 2015 || €20M (2021) || ~€50-80M || Clinical data platform integrating structured and unstructured hospital data to generate real-world evidence for doctors.
|-
| [[TriNetX]] || US/EU || 2013 || $40M+ || ~$500M+ || Global health research network connecting hospital EHR data for clinical trial optimization. 300+ healthcare organizations across 30 countries.
|-
| [[Castor EDC]] || Netherlands || 2012 || €25M+ || ~€50-100M || Electronic Data Capture with automated FAIRification of clinical trial data. Published research on de-novo FAIRification via EDC.
|-
| [[Aetion]] || US/EU || 2013 || Acquired by Datavant || — || Real-world evidence platform analyzing health data for regulatory-grade insights. Acquired by Datavant.
|-
| [[Sensyne Health]] || UK || 2014 || £60M+ || Rebranded to Phinial || Partners with NHS trusts to analyze anonymized patient data (30M+ records) for drug discovery.
|-
| [[PicnicHealth]] || US || 2014 || $60M+ || ~$200M+ || Collects and digitizes patient medical records into unified longitudinal records. Connects to 10,000+ healthcare facilities. Launched ThumbPrint patient-anchored record matching.
|-
| [[1upHealth]] || US || 2017 || $40M Series C (2023) || ~$150M+ || Patient-facing FHIR platform for aggregating and sharing health data across providers. Built on CMS Patient Access API.
|}

== Health Knowledge Graphs & Ontologies ==

{| class="wikitable sortable"
! Company !! Country !! Founded !! Funding !! Valuation !! Description
|-
| [[Healx]] || UK || 2014 || $56M+ || ~$200M+ || Uses knowledge graphs and AI to find new treatments for rare diseases. Published research on automated biological evidence generation using knowledge graphs.
|-
| [[Ada Health]] || Germany || 2011 || $100M+ || ~$300-500M || AI-powered medical knowledge base with 30,000+ medical concepts. Knowledge graph approach to symptom assessment.
|-
| [[Owkin]] || France || 2016 || $300M+ || ~$1B+ || Federated learning for health data — trains AI across hospital data without moving patient records. Nature Medicine research.
|-
| [[Cogstack]] || UK || 2014 || Open-source || Open-source || Open-source NLP platform for extracting structured data from unstructured clinical text. Developed at UCL/GSTT (NHS).
|}

== Health Data Interoperability (FHIR / HL7) ==

{| class="wikitable sortable"
! Company !! Country !! Founded !! Funding !! Valuation !! Description
|-
| [[Better]] || Slovenia || 2016 || €10M+ || ~€30-50M || Open-source FHIR platform for health data interoperability. Used by health systems across Europe.
|-
| [[InterSystems]] || US/EU || 1978 || Private || ~$5B+ || HealthShare platform providing FHIR-based health data integration. Launched HealthShare AI Assistant.
|-
| [[R澉IT]] || Denmark || 2014 || €5M+ || ~€10-20M || Health data integration infrastructure for Nordic healthcare systems.
|}

== AI Health Data Processing & Curation ==

{| class="wikitable sortable"
! Company !! Country !! Founded !! Funding !! Valuation !! Description
|-
| [[Qantev]] || France || 2019 || €30M (2025) || ~€100M+ || AI-driven claims platform for health insurers. Processes health data at scale using small AI models that outperform LLMs.
|-
| [[Unlearn AI]] || US || 2017 || $50M+ || ~$200M+ || Generates AI digital twins from longitudinal patient data for clinical trial optimization.
|-
| [[Triall]] || Netherlands || 2018 || €5M+ || ~€10-20M || Blockchain-based platform for clinical trial data integrity and interoperability.
|-
| [[Synapse Medicine]] || France || 2017 || Series B+ || ~€50-100M || Digital prescription platform using drug interaction ontologies.
|-
| [[Lifen]] || France || 2015 || €30M+ || ~€50-100M || Health document management enabling interoperable exchange between hospitals, labs, and practitioners.
|}

== Personal Health Records & Patient Empowerment ==

{| class="wikitable sortable"
! Company !! Country !! Founded !! Funding !! Valuation !! Description
|-
| [[Loovi]] || Sweden || 2023 || €1M Seed || Not disclosed || Biomarker testing platform building longitudinal health profiles from repeated blood tests.
|}

== AIDAVA Technology Connections ==

These companies map to AIDAVA's four technology pillars:

'''1. FAIRification & Quality Enhancement'''
* [[Castor EDC]] — automated FAIRification via EDC
* [[1upHealth]] — FHIR-based data standardization
* [[Better]] — open-source FHIR platform

'''2. Knowledge Graphs with Ontologies'''
* [[Healx]] — knowledge graphs for drug repurposing
* [[Ada Health]] — medical knowledge graph (30K+ concepts)
* [[Owkin]] — federated learning on distributed health data

'''3. NLP for Information Extraction'''
* [[Cogstack]] — open-source clinical NLP (NHS deployed)
* [[Qantev]] — small AI models for health data processing
* [[Averbis]] — German NLP for health data

'''4. Human-AI Interaction & Explainability'''
* [[LynxCare]] — clinical insights dashboard for doctors
* [[Sensyne Health]] — real-world evidence for clinical decision-making
* [[InterSystems]] — HealthShare AI Assistant

== See Also ==
* [[AIDAVA]]
* [[AIDAVA Contacts]]
* [[AIDAVA Documents]]
* [[Interoperability]]
* [[Knowledge Graphs in Health]]
* [[Publications]]

[[Category:Topics]]

PicnicHealth

2026-04-14T12:12:53Z