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

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, ...

Artificial intelligence has yet to deliver on the most challenging aspect of drug development -- finding new molecules that lead to major medical advances -- but it is already streamlining less ...

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

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 ...

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 ...

Real-time ¹⁹F NMR enables faster, more efficient pharmaceutical synthesis by improving reaction monitoring, scalability, and ...

USP is developing digital reference standards to integrate into modern digital environments, enhancing regulatory confidence ...

In Darwinian terms, survival isn’t a matter of being the biggest, the fastest, or the strongest of the species, but instead ...

A Novartis spokesperson said the time savings afforded by AI can add up to months over a drug-development programme. British drugmaker GSK said it's using a mix of digital and AI tools to reduce ...