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

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 ...

Developing high-quality, safe, and effective drugs is a complex process that requires varied scientific skills and stringent regulatory assessments. Drug development is a process that spans many years ...

In a Q&A, an FDA spokesperson discusses efforts to reduce misinformation about biosimilars through education, the agency’s collaboration with global regulators to streamline development, and its work ...

The FDA Modernization Act of 1997 established the Fast Track designation to expedite developing and reviewing new drugs designed to fill unmet medical needs and treat serious conditions. The FDA Fast ...

A new project seeking to transform the drug delivery process and take projects out of “the valley of death” between aspiration and accomplishment is getting help from La Jolla-based medical research ...

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

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 ...

Small Molecule Drug Development Core Facility (SMDD Core) has the automation equipment, libraries, and experienced personnel to support a wide range of assay ...

Early-stage regulatory strategy is becoming a powerful driver of speed, risk reduction, and commercial value in drug ...