Computational biology projects built with AI
BioSignal Intelligence
Scores how close an emerging biomarker is to clinical use
What it does
Many biomarkers look promising and few make it into routine use. BioSignal Intelligence scores each biomarker on its evidence (trials, publications and momentum), sorts it into a maturity tier, and lets you search by disease. Searching lung cancer, for example, brings up EGFR, ALK, PD-L1, KRAS and ROS1 with a score and summary for each. The demo runs on a sample dataset.
How it works
- Collects evidence signals per biomarker: trial counts, publications per year and recent momentum
- Combines them into a tier and a readiness score
- Shows a searchable dashboard with a detail panel for each biomarker
Built with ClinicalTrials.gov · PubMed · Scoring model · Dashboard
A learner prototype built on public data, shared with the team's permission as part of their portfolio. It is not a clinical tool.
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