AI Lab

Computational methods for biomarker discovery.

The AI Lab contains the conceptual engines and scoring systems used to transform papers, molecular signals and dispersed evidence into structured biomedical reasoning.

Discovery Engine

Framework for detecting recurrent biomarkers, molecular relations and candidate diagnostic signatures across scientific literature.

SMPS Score

StarX Molecular Priority Score: prioritizes biomarkers based on recurrence in literature, network role, reported panel presence and biological plausibility.

SEC Score

Model for estimating scientific evidence strength in order to avoid hype-driven conclusions and support more robust candidate selection.