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.
Kate O’Reilly, President & Chair of the Healthcare Businesswomen’s Association (HBA) Dublin-Ireland Chapter & Healthcare Transformation Partner at Roche, discusses AI in pharma, patient engagement, and the future of healthcare innovation.
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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.
Choosing the wrong RWE data source undermines your regulatory strategy. This framework helps pharma leaders select the right real-world data collection method based on your programme’s research question.
By directly stimulating the visual cortex instead of relying on the retina or optic nerve, ReVision's FDA Breakthrough Device-designated implant could make vision restoration possible for millions of patients who have no existing treatment options.
Dr David Hayes explains why clinical research should be embedded early in cardiac device development and not treated as a late-stage compliance step.
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.
Decentralised clinical trials expand access and reduce patient burden. Learn how sponsors balance innovation in DCT design, data integrity, and regulatory compliance.
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.
Explore the critical differences between preclinical vs clinical research, and how closing the translation gap can reduce drug development attrition and improve R&D decision-making.
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.