Reactions to Being “Powered By Purpose” on Clinical Trials Day 2025
As a follow-up to Clinical Trials Day 2025, held on May 20 with the theme of being “Powered By Purpose,” a collection of industry thought leaders
Detecting Fraud in Clinical Trials Using Statistical Data Monitoring
“Identifying … potential data manipulation and data integrity problems” are an International Council for Harmonization of Technical Requirements for Pharmaceuticals for Human Use (ICH) E6
The Future of AI in pharma: Beyond the buzz to real-world impact
Artificial Intelligence (AI) continues to gain momentum in the pharmaceutical sector, but can it truly deliver the full-spectrum intelligence needed to improve clinical research outcomes,
Around the Health Tech World: Dr Laura Trotta, CluePoints
Dr Laura Trotta gives us an insight into her role at CluePoints and shares some of the lessons she’s learned so far
AI, Data and Partnerships: The Building Blocks for More Sustainable Clinical Trials
Sas Maheswaran discusses how artificial intelligence, data and strategic partnerships can make clinical trials more sustainable – both financially and environmentally.
5 minutes with… Andrew Cooper, CEO, CluePoints
Andrew Cooper, CEO, CluePoints, explores how AI is transforming clinical trials, the power of a purpose-driven culture and what it takes to lead with innovation
Benchmarking Risks Across Therapeutic Areas
The monitoring of key risk indicators (KRIs) is an established form of risk control in the conduct of clinical trials. It is widely acknowledged that
Where is RBQM Heading in The Future With AI?
Richard Young, Chief Strategy Officer at CluePoints, shares insights on AI and risk-based quality management (RBQM) in clinical trials. With experience at both CluePoints and
Think Tank 2025 Pharma Forecast: What Lies Ahead for the Industry in 2025?
The pharmaceutical industry is poised for a transformative evolution by 2025, driven by the possibilities of emerging technologies, regulatory shifts, personalized medicine, and lessons from
Central Monitoring Use in Early-Phase and Small Enrollment Trials
Central monitoring is highly effective in detecting emerging quality issues in clinical trials, but debate continues over its use in early-phase and small enrollment studies