The Open Source Medicine Foundation is building an open evidence infrastructure that connects therapeutic discovery, biomarkers, clinical testing, regulatory access and decision intelligence.
Disease intelligence linking conditions to candidate therapeutics, biomarkers, mechanisms, natural products and clinical trials.
Structured evidence on biomarkers reported across PACVS, Long COVID, ME/CFS, Lyme disease and Gulf War Illness.
A framework for characterising physiological states, fitness, biomarkers, disease risk and functional outcomes.
Systematic characterisation of natural products and nutraceutical interventions: mechanisms, evidence, safety and potential applications. See our research library for the published reviews.
A dashboard of non-pharmaceutical interactions with pharmaceutical agents, extending therapeutic intelligence to combinations.
A decentralised clinical-trial builder application, currently in beta: pick standardised biomarker and intervention packages, then construct the trial workflow around them.
Structured information on post-acute infection cohorts and linked biobanking: populations, controls, specimens, timepoints and study characteristics.
Structured intelligence on registered studies across PACVS, Long COVID, ME/CFS and related conditions, updated daily.
Cross-condition evidence on candidate therapeutic interventions and their stage of clinical development.
Structured information on healthcare and procedure-access rules across jurisdictions.
An app for comparing prices of standardised healthcare service packages across hospitals, so people can see cost differences before choosing where to go.
Information on regulatory pathways relevant to access to investigational therapies.
Open navigation infrastructure for vaccine safety, surveillance and evidence resources.
Evaluate biomarkers by clinical relevance, uncertainty reduction, accessibility, reproducibility, cost and implementation burden.
Score candidates on mechanistic plausibility, existing evidence, safety, unmet need, feasibility and potential impact.
Use RepurpOS and therapeutic intelligence to find promising candidates.
Assess mechanism, evidence, unmet need, feasibility and information value.
Select a standardised intervention and biomarker package in DecenTrial.
Build and run an efficient decentralised clinical study.
Capture outcomes, biomarkers and safety information.
Connect useful evidence to regulatory and jurisdictional pathways.
“Open, collaborative, and forkable by design. We aren't looking for followers — we're looking for people who want to build, contribute, adapt, and take the work further.”
Every contribution goes directly to research, open-access publication costs and the evidence infrastructure for underserved conditions.