AI-Guided Precision Drug Selection
This AI solution uses AI to identify, design, and select the most effective drugs for individual patients by integrating clinical data, genomics, microbiome profiles, and real‑time trial outcomes. It accelerates drug discovery, optimizes clinical trial design and adaptivity, and powers precision medicine decision support at the point of care. Healthcare organizations gain better treatment outcomes, reduced trial and development costs, and faster time-to-approval for novel therapies.
The Problem
“Patient-specific therapy selection from EHR + omics + trial evidence at scale”
Organizations face these key challenges:
Oncologists and specialists rely on static guidelines that don’t reflect a patient’s full biomarker profile
Genomic/microbiome results arrive as PDFs or disparate files and aren’t actionable in the clinical workflow
Clinical trials suffer from slow enrollment, poor stratification, and high dropout due to non-responders
Real-world outcomes and adverse events aren’t systematically fed back to improve treatment selection