Why Precision Alone Isn't Enough in Oncology Drug Discovery
Precision alone isn’t enough in oncology drug discovery. See why execution, biomarkers, and trial design determine scalable success in precision medicine.
“The pharma industry is beginning to look at biological age as a surrogate endpoint to improve clinical trials."
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Precision alone isn’t enough in oncology drug discovery. See why execution, biomarkers, and trial design determine scalable success in precision medicine.
Trisha Pillay speaks with Adriaan Kruger, CEO of nuvoteQ, as they unpack why clinical research is still heavily reliant on paper-based systems in many regions.
Pharmacoinformatics is redefining drug discovery strategy. This analysis covers the AI platforms, molecular design tools, and regulatory frameworks shaping R&D pipelines in 2026.
AI is tackling the pharmaceutical supply chain's most persistent problems, from demand forecasting to counterfeit detection. See the top 7 ways AI is improving supply chain resiliency.
From 2012 through 2024, the FDA only approved 22 drugs for the treatment of psychiatric conditions. Pharma R&D teams must rethink development strategies to unstall drug innovation in psychiatry
Explore the biggest drug discovery challenges facing pharma today, from translational gaps to AI integration, and why a new pharma paradigm is needed.
The USP's 2025 Vulnerable Medicines List flags 100 drugs at high risk. Here is what to do to build pharma supply chain resilience.
The DMTA cycle is the engine of modern pharma R&D. Learn how integrated DMTA workflows reduce early-stage attrition and compress drug discovery timelines.