Researchers at the University of Toronto say they have successfully tested the use of machine learning models to guide the design of long-acting injectable drug formulations. The potential for machine ...
In the evolving landscape of pharmaceutical development, modified release (MR) tablets have emerged as a cornerstone technology for improving therapeutic outcomes and patient compliance. Unlike ...
Discovering effective drug combinations may now be easier thanks to a screening platform made public today by St. Jude Children's Research Hospital scientists. Many diseases, including cancers, ...
The Food and Drug Administration (FDA) published a pair of discussion papers this week in an effort to outline areas artificial intelligence and machine learning may help in manufacturing ...
AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry challenges like the "patent cliff" and high clinical failure rates. AI-driven ...
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