EHR Patient Recruitment Gets A Reality Check
EHR patient recruitment could improve clinical trial matching, but workflow integration, data quality, interoperability, and AI validation remain key challenges.
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.
The Ethics of Decentralised Clinical Trials
Ethical obligations in decentralised clinical trials extend beyond consent and privacy. Sponsors must protect safety, scientific validity, equity, and oversight.
Making Flexibility Work with Adaptive Clinical Trials
Adaptive clinical trials can improve efficiency, reduce patient burden, and support faster development through structured, evidence-based flexibility.
Growing Patient and Public Involvement in Clinical Trials
Patient and public involvement in clinical trials improves study design. Learn why better reporting is essential for transparent, patient-centred research.
The Latest Evidence on Informed Consent in Clinical Trials
A recent systematic review reveals incredible detail about informed consent in clinical trials, participant understanding, and trial quality. Find out now.
Optimising Clinical Trial Data Collection for Better Decisions
Learn how optimised clinical trial data collection improves data quality, reduces protocol and patient burden, and supports smarter clinical development.
Deep Learning in Clinical Trials for 2026 and Beyond
Deep learning is changing how clinical trials are designed, run, and analysed in 2026. Examine the tools, outcomes, and strategic risks shaping adoption.
Is AI Quietly Creating a GDPR Crisis in Clinical Research?
Generative AI is transforming clinical trials, but a failure to distinguish between pseudonymised and anonymised data is creating costly regulatory gaps.
11 Clinical Trials Defining Pharmaceutical Strategy in 2026
We've mapped the competitive, regulatory, and commercial stakes of the top 11 clinical trials that have defined pharma strategy so far in 2026.
Real-Time Clinical Trials Are a Huge Competitive Advantage
Real-time clinical trials enable continuous data capture and faster decisions, improving how data is used in clinical trials. Here is what pharma leaders need to know.
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.
