Computational biology projects built with AI
EvidOnco
An assistant that answers biomarker questions with sources
Built by Ashish Balan, Nandini Solanki, Harsha S. and Anisha
What it does
Tumour boards and pharma teams keep rebuilding the same picture of the evidence from scattered trial data. EvidOnco is a question-and-answer tool for lung cancer biomarkers: ask about a biomarker and it returns a structured answer covering clinical use, resistance mechanisms and diagnostic options, citing the trials and PubMed papers it draws on.
How it works
- Builds a curated knowledge base from PubMed, NCBI, OncoKB, ClinicalTrials.gov and FDA records
- Takes a plain-language question, such as the biomarkers of lung cancer
- Answers with a summary table, trial IDs and linked PubMed references
Built with PubMed · OncoKB · ClinicalTrials.gov · FDA · Node.js · LLM
A learner prototype built on public data, shared with the team's permission as part of their portfolio. It is not a clinical tool.
More projects
Onco Strat
Ranks drugs for a breast cancer patient from their tumour's DNA and RNA
Anshiika Bisht, Shashidhar K and Jagriti
See the project
Oncomap
Turns a pancreatic cancer VCF into a molecular oncology report
See the project
Onco Compass
Finds the actionable mutations in a lung cancer sample
See the project
Build your own in the PGP
Six months, live classes at the weekend, and a capstone project you can show employers.
