Designing Decentralised Clinical Trials for Patient Diversity
Data shows that most DCT approaches significantly improve patient diversity. This analysis examines what the evidence means for clinical trial design strategy.
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.
Explore expert-led podcasts, pharmaceutical intelligence, life sciences insights and research-driven analysis from leading industry voices. Pharmatica delivers trusted biotech news, drug development trends and commercial intelligence for professionals across the pharmaceutical sector.
Data shows that most DCT approaches significantly improve patient diversity. This analysis examines what the evidence means for clinical trial design strategy.
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.
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.
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
What do pharma R&D tech investment committees really fund? Learn how workflow fit, enterprise pull, and strategic relevance drive adoption.
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 USP's 2025 Vulnerable Medicines List flags 100 drugs at high risk. Here is what to do to build pharma supply chain resilience.
Find out why strategic pharma intelligence is needed to connect insights and to guide confident decision-making across the drug development lifecycle.