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, ...
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 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 ...
The Biologics Price Competition and Innovation Act of 2009 created the abbreviated approval pathway that biosimilars rely on, and the FDA has approved 82 biosimilars to date, with the new guidance is ...
Makary pointed to three bottlenecks: hospital contracting; ethical reviews and approvals; and the Investigational New Drug ...
Agentic AI could reshape drug development. In this interview, Dr. Claudio D’Ambrosio discusses how agentic AI can identify novel drug compounds, improve trial design, and reduce operational ...
The U.S. Senate has a plan to improve drug development for rare disease patients. The exit of controversial CBER chief Vinay Prasad will help clear the path.
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 ...
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AlphaFold opens new doors in drug development—how
AlphaFold, a transformative AI-driven tool developed by DeepMind, has revolutionized the field of structural biology by accurately predicting protein structures. This breakthrough holds significant ...
Overview Artificial intelligence seems to be transforming drug discovery in 2026, enabling faster molecule design, smarter clinical trials, and reduced R&D ...
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