A living map of the resources I regularly return to while building prevention-focused health tech, human digital twins, wearables, and longevity R&D.
research search engines & paper workflows
- PubMed (biomedical abstracts + links to full text when available)
- PubMed Central (full-text biomedical papers)
- Google Scholar (broad academic search)
- Semantic Scholar (great for discovery + citation graphs)
- OpenAlex (open research graph; useful for mapping fields)
- arXiv / bioRxiv / medRxiv (preprints: ML + biology + medicine)
- ClinicalTrials.gov (trial design + endpoints + outcomes)
- FDA / EMA databases (regulatory decisions, labels, safety signals)
How I read papers
- Start with 2–3 reviews → collect the landmark citations → follow citation graph forward.
- Capture: problem, dataset, method, endpoints, limitations, "what would change my mind?"
digital twins (health + device + simulation)
Twin infrastructure / patterns
- Digital twin "awesome lists" (ecosystem maps)
- Azure Digital Twins explorer (visual twin graph management)
- Eclipse Ditto (device/twin messaging pattern)
Physiology & simulation
- BioGears (human physiology engine)
- OpenSim (musculoskeletal simulation)
- SimVascular (blood flow + patient-specific modeling)
- OpenCOR / CellML ecosystem (reusable physiology models)
wearables + biosignals (real-time physiology)
Signal processing
- NeuroKit2 (EDA/ECG/HRV pipelines)
- HeartPy (PPG/HR/HRV)
- WFDB tools (PhysioNet waveform formats + utilities)
- MNE (EEG/MEG processing)
Datasets
- PhysioNet (waveforms + challenges)
- UK Biobank (when accessible; massive population-scale)
- NIH/NLM & NCBI resources (genomics + clinical references)
healthcare data standards & interoperability
- HL7 FHIR (data model + APIs for clinical exchange)
- HAPI FHIR (practical server/client implementation)
- OHDSI / OMOP CDM (observational data standardization)
- SNOMED CT / LOINC / ICD (clinical vocabularies; mapping matters)
biomedical knowledge graphs & targets
- Open Targets (disease ↔ gene ↔ drug evidence)
- GWAS Catalog (genetic association evidence)
- Monarch Initiative / phenotype resources
- Hetionet (network-style biomedical reasoning)
drug discovery & computational biology
- RDKit (cheminformatics foundation)
- DeepChem (drug discovery ML toolkit)
- OpenMM (molecular simulation)
- DiffDock (DL docking methods; good for exploring structure-based workflows)
- AlphaFold/OpenFold ecosystem (protein structure workflows)
longevity & prevention
- Hallmarks of Aging literature (mechanism framing)
- Biomarker discovery: proteomics/metabolomics/epigenetics resources
- Geroscience reviews (interventions + translational pathways)
product, growth, and commercialization (health-tech reality)
- YC Library (startup fundamentals + GTM)
- "Crossing the Chasm" frameworks (adoption + distribution)
- Practical sales: discovery calls, ICP definition, messaging tests
- Marketing experiments: content → distribution → measurement loops
communities / conferences I track
- Digital health + wearables conferences
- Computational biology & ML conferences
- Longevity/geroscience meetings
- Clinical informatics communities (FHIR/OMOP builders)
my filter for "good links"
- Is it actionable?
- Does it explain endpoints & failure modes?
- Does it survive deployment / real-world messiness?
- Does it help a clinician (or patient) make a better decision?