Optimising Preclinical Pharmacology for Oncology NMEs
Over 90% of oncology NMEs that succeed in animal studies fail in clinical trials. This analysis examines how to optimise preclinical pharmacology models to improve translational success.
Articles, expert interviews, and insights from life sciences leaders
Could Biological Ageing Be the Next Big Shift in Drug Discovery?
“The pharma industry is beginning to look at biological age as a surrogate endpoint to improve clinical trials."
Read interview: How Should Pharma Companies Audit AI Vendors?
Read interview: Could Biological Ageing Be the Next Big Shift in Drug Discovery?
Read interview: Is AI Quietly Creating a GDPR Crisis in Clinical Research?
Read interview: How AI Is Reshaping Data Integrity in Pharma Manufacturing
Read interview: AI in Pharma: Why the Future of Healthcare Starts With Patients, Not Tech
Read interview: AI in Pharma: Hype vs. What Actually Works
Read interview: How Pharmacy Innovation Is Changing Healthcare Delivery
Read interview: The Role of Regulatory Leadership in Healthcare
Exclusive Pharmatica Content
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.
How Low Can They Go? Clinical Trial Success Rates
Clinical trial success rates have declined sharply over the past 20 years. This analysis examines what the data reveals about the drug approval rate and phase-by-phase attrition.
The Future for Decentralised Clinical Trials
Decentralised clinical trials promise to transform drug development and pharma strategy. The evidence tells a complex story. Here is what’s working and what still needs to be fixed.
Reimagine AI-driven Drug Discovery with Pharma Superintelligence
Explore how AI-driven drug discovery is evolving through Pharmaceutical Superintelligence and what your organisation can do to keep up.
Digital Twins in Clinical Trials: Simulating Success Before Enrolment
Digital twins in clinical trials simulate patient outcomes to reduce risk and accelerate timelines. Learn how sponsors use them for predictive trial design.
How Pharmacy Innovation Is Changing Healthcare Delivery
Pharmacy is emerging as a critical but overlooked route to faster patient access. In this episode of Digital Pulse, Judit Mora explains how innovation, digital workflows, and pharmacy-led models can bypass traditional delays in healthcare delivery.
Phenotypic Drug Discovery: Beyond the Target
Phenotypic drug discovery is reshaping how pharma finds first-in-class drugs. This analysis covers the methods, AI integration, and strategic decisions R&D leaders face in 2026.
Precision Logistics to Speed Up Clinical Trials
Precision logistics in clinical trials is transforming global study execution through real-time tracking, cold-chain management, and advanced operational visibility.
Cell Therapy for Solid Tumours: Current Challenges and New Advances
Cell therapy for solid tumours faces unique biological barriers. This analysis unpacks the engineering strategies pharma leaders must understand for R&D success in 2026.
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.
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.
Select the Right Data Collection Method for Real-World Evidence
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.
