Precision Treatment Optimization
This application area focuses on tailoring medical treatments to individual patients by integrating genomic, clinical, and real‑world data to guide diagnosis, therapy selection, dosing, and monitoring. Instead of applying one‑size‑fits‑all protocols, it identifies biologically and clinically meaningful subgroups, predicts likely responders and non‑responders, and recommends personalized care pathways across the patient journey. It matters because traditional population‑level care and drug development lead to high trial failure rates, suboptimal outcomes, avoidable adverse events, and wasted R&D spend. By systematically stratifying patients and matching them to the most effective and safest therapies, organizations can improve clinical outcomes, reduce toxicity and hospitalizations, and design smarter, more efficient clinical trials that bring targeted therapies to market faster and at lower cost.
The Problem
“Personalized therapy selection and dosing from genomics + clinical + real-world data”
Organizations face these key challenges:
High variance in treatment response and adverse events across “similar” patients
Genomic and biomarker results are hard to operationalize at the point of care
Clinical pathways don’t adapt quickly to new evidence and patient trajectories