Recent research found a correlation between the upfront time to build and release a clinical database and its impact on downstream data management processes in conducting and completing trials.

AI and ML are transforming clinical trials by enhancing efficiency, reducing costs, and improving outcomes. Opportunities include understanding AI/ML fundamentals, optimizing trials, predicting ...

Thought LeadersAoife Hayes, Kevin O'Regan & Julie ScanlonClinical Trials Assitant, Operations Manager & Quality Assurance ManagerAtlantia Clinical Trials Food clinical trials may not be as familiar to ...

Dublin, Dec. 11, 2024 (GLOBE NEWSWIRE) -- The "Clinical Trial Regulatory Requirements Training Course" conference has been added to ResearchAndMarkets.com's offering. Are you up to date with the ...

Clinical trials form the backbone of modern medicine, bridging the gap between laboratory discoveries and patient care. Yet, managing these trials has never been more complex. As the pharmaceutical ...

Despite rapid growth, only 9.2% of DCTs are multiregional and over 80% single-country, indicating challenges in international implementation. 2 With regulatory agencies 4–7 underscoring risk-based ...

A structured data ownership model—rooted in ICH GCP principles, supported by MHRA and FDA interpretations, and documented in validated system specifications—will enable sponsors to maintain compliance ...

ELC GROUP has announced the launch of a new Clinical Trials service for pharmaceutical customers worldwide. The new end-to-end service offering spans Bioavailability ...

Recent research found a correlation between the upfront time to build and release a clinical database and its impact on downstream data management processes in conducting and completing trials.