AI could review data sets to assist clinical scientists ...

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 drug development process necessitates the comprehensive evaluation of a candidate’s therapeutic benefits alongside its potential risks. Benefit–risk assessments are central to this endeavour, ...

Duxin Sun receives funding from the NIH, FDA, and pharmaceutical industries including Bristol-Myers Squibb, Celgene Corporation, Aurinia Pharmaceuticals, Abbvie, Nanomedicine Innovation Center.

Overview Artificial intelligence seems to be transforming drug discovery in 2026, enabling faster molecule design, smarter clinical trials, and reduced R&D ...

At the heart of every biological process, from the replication of cells to the functioning of the human brain, lies the intricate world of proteins. Understanding the structure of these molecules, ...

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 ...

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 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 ...

As sponsors advanced more niche and personalized modalities, manufacturers were pushed to adopt holistic approaches to safety ...