A new analysis of drug trials used to approve medicines in the United States shows how far modern medicine still has to go to ...

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

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

AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...

Find out how AI influences drug discovery, enabling earlier predictions and reducing the risks in clinical development.

Pfizer scrapped its own obesity drug candidate, Danuglipron, in early 2025, citing risks of liver enzyme elevations. ・The ...

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 ...

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 ...

Pawankumar Suresh enhances early-stage drug research processes, ensuring regulatory compliance through effective systems and vendor governance.

Stability is a critical factor in drug formulation, with implications for product quality, lifecycle management, and ...

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