When patient safety, regulatory approval and real-world effectiveness are on the line, AI can't act autonomously.

BURLINGTON, N.C.--(BUSINESS WIRE)--LabCorp (NYSE: LH), a leading global life sciences company that is focused on advancing health and guiding patient care decisions, today announced new capabilities ...

When it comes to developing new drugs, one of the most time-consuming and complex pieces of the puzzle is the task of compiling all of the data collected throughout the clinical development process to ...

Developing high-quality, safe, and effective drugs is a complex process that requires varied scientific skills and stringent regulatory assessments. Drug development is a process that spans many years ...

New drug development is a race against the clock as soon as the first patents are filed, and understanding the potential timings from first-in-human studies to regulatory approval is crucial for ...

With the European Medicines Agency (EMA) adopting a recommendation report to streamline the clinical procedures for ...

Real-world data is increasingly used to optimize trial design, reduce recruitment burden, and support regulatory decisions, but adoption remains uneven due to challenges around data quality, ...

Health systems and their technology vendors can work together to modernize clinical process maps using artificial intelligence – transforming them from static reference documents into living guidance ...

WHITEHOUSE STATION, N.J. & BOSTON--(BUSINESS WIRE)-- Merck (NYSE:MRK) (known outside the United States and Canada as MSD) and PAREXEL International Corporation (NASDAQ: PRXL), a leading global ...

Designing an efficient platform is crucial for any industrial process. This design process is known as process development, and it has become increasingly important in the pharmaceutical industry at ...