Collaborate with PetriDish
PetriDish is built for Indian biomedicine — 4.4M knowledge-graph edges, 55 PGx variants, 100 phytochemicals, 50 curated epifactors, all India-frequency-weighted. We're actively looking for senior PIs, hospital cohorts, and AYUSH-integration labs to co-author the validation work. Three open collaboration tracks below; pick the one that fits your lab and ping us.
Co-author a validation paper
PetriDish has 9 working modules, no clinical validation paper yet. We'd like to fix that with your patient cohort + your senior author position.
- Knowledge graph + 55 PGx variants + IndiGen frequencies
- Live API endpoints (sub-200ms PGx safety check)
- Engineering time to build the cohort-specific dashboard
- Statistical analysis + preprint drafting support
- Co-author credit · no IP claim on your cohort data
- Retrospective or prospective cohort (>100 patients ideal)
- Pharmacy / lab data linked to outcomes
- Ethics committee clearance for retrospective use
- Senior-author position
Help us scale IMPPAT 100 → 500
PetriDish has 100 curated phytochemicals with SMILES + 192 MAMMAL DTI predictions. ACTREC, IIIT-D, and CDFD have larger Indian phytochemistry corpora. Cross-licence them in.
- Existing IMPPAT 100 + MAMMAL DTI scoring infra
- Pipeline to ingest CSV → Neo4j → API in <1 day
- PubMed citation annotation per compound
- Visible attribution: your lab as a data source on /methods
- Public or shareable phytochemistry dataset
- SMILES, herb-of-origin, optional bioactivity priors
- Lab review of our drug-target predictions for your top 20 compounds
Bring scGPT / methylome / spatial
EpiOnco today is a curated knowledge layer over published Indian signatures. If your lab runs scRNA-seq, EPIC arrays, or spatial — there's a path to ingest cohort embeddings into the Tumour Ability Score.
- Tumour Ability Score framework (India delta)
- 14 cancer hallmarks + 50 epifactor knowledge layer
- Engineering to wire your embeddings into TAS computation
- Patient-facing TAS brief PDF generator
- Sample-level embeddings or normalized expression / methylation
- Cohort metadata (cancer type, stage, treatment, outcome)
- Bioinformatician collaboration during integration
Five live use cases
Concrete starting points if you're not sure which track fits. Each maps to a real PetriDish module already running in production.