By Maggie Fick and Michael Erman SAN FRANCISCO, Jan 26 (Reuters) - Artificial intelligence has yet to deliver on the most ...

Continuous process improvement can benefit all aspects of life — from personal New Year’s resolutions to complex drug development. In a world where two-thirds of planned improvement initiatives fail, ...

The collaboration marks a turning point in AI-driven drug design and trial forecasting, de-risking the drug development ...

The Food and Drug Administration (FDA) development and approval process for drugs and medical devices involves multiple phases that ensure the safety and effectiveness of products before and after ...

Find out how NAMs are influencing safety assessments and decision-making in the pharmaceutical industry ahead of 2026.

Researchers have applied AI and machine learning to every stage of the drug development process. This includes identifying targets in the body, screening potential candidates, designing drug molecules ...

The potential of using artificial intelligence in drug discovery and development has sparked both excitement and skepticism among scientists, investors, and the general public. Researchers have ...

The biggest challenge in drug development is that the process is not an even balance of hit or miss – it is overwhelmingly miss, with around 90% of drugs never making it beyond clinical trials. As a ...

A key part of consultants’ work is the global harmonization of CMC guidelines. Differences in regulatory requirements across regions can lead to inefficiencies in the drug development process.

The FDA has granted priority review status for pegcetacoplan (Empaveli) to treat two rare kidney diseases that can lead to kidney failure. Up until now, there hadn’t been any drugs approved ...