The Trump administration is redoubling its efforts to phase out animal testing in drug development and seeking to develop new biotechnology methods instead to spur innovation in the pharmaceutical ...

The U.S. Food and Drug Administration is actively steering drug developers away from traditional animal studies and toward human-biology-based testing methods for monoclonal antibody programs. The ...

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 ...

Drug discovery has traditionally been a reductive process—narrowing down, filtering out, and optimizing within established constraints. Generative AI turns that on its head. It is an expansive force, ...

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.

Produced in Partnership with ERWEKAReviewed by Emily MageeJan 6 2025 Tablets are the most common solid dosage form of medication by far, with over one trillion produced annually. 1 Tablets are mainly ...