Precision Oncology Intelligence Platform
An AI-powered oncology intelligence platform that combines RAG-based information retrieval, automated metadata extraction, and human expert validation to deliver reliable, structured oncology insights.
The platform integrates evidence on diseases, biomarkers, drugs, and treatment outcomes from scientific literature, enabling efficient access to high-quality, evidence-based information for precision medicine research and oncology decision-making.
The core data focuses on four key areas:
Disease: Cancer types, subtypes, and disease characteristics.
Biomarkers: Genetic mutations, molecular markers, and other biomarkers associated with cancer.
Drugs and Treatments: Targeted therapies and other treatment options linked to specific diseases and biomarkers.
Treatment Outcomes: Evidence on treatment response, efficacy, and clinical outcomes.
The platform is currently at the proof-of-concept (PoC) stage, with the goal of developing a scalable, high-quality oncology intelligence resource.
