The U.S. Food and Drug Administration is actively steering drug developers away from traditional animal studies and toward ...

A growing body of research has examined the IRA’s implications for pharmaceutical innovation. Much of this literature has focused on the potential impact on the number of new drug launches, 5, 6 but ...

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 ...

Scientists at the University of Cambridge have developed a new way to alter complex drug molecules using light rather than ...

Early 2026 has brought a series of consequential regulatory moves from the FDA, each reflecting a common thread: the agency ...

Find out how self-driving labs utilise data-driven approaches to enhance drug discovery efficiency and innovation.

Funding and clinical trial-based barriers must be addressed to ensure success on the path to developing a DMT for Parkinson’s.

Drug discovery has traditionally been a reductive process—narrowing down, filtering out, and optimizing within established ...

Researchers have developed a human intestinal cell model that closely mimics the structure and function of the human gut, ...