Insights into molecular behaviors and predictive capabilities are bringing numerous benefits. The potential benefits afforded by molecular modeling when applied to formulation development are, in fact ...
Formulation scientists are behind the conversion of active pharmaceutical ingredients (API) into stable, bioavailable, and commercially viable dosage forms, rarely a simple process. Image Credit: ...
Early on, the drug substance (DS) manufacturer will provide a wealth of preliminary characterization data. And if the drug is active in early nonclinical and preclinical testing, a larger quantity of ...
Artificial intelligence and machine learning can help overcome poor solubility and bioavailability. Artificial intelligence (AI) and machine learning (ML) in the biopharmaceutical industry have been ...
MELBOURNE, Australia, Sept. 28, 2025 (GLOBE NEWSWIRE) -- CLINUVEL today announced that it is advancing new sustained-release liquid drug formulations in a preclinical program evaluating various drug ...
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 ...
Scientists have successfully tested the use of machine learning models to guide the design of long-acting injectable drug formulations. The potential for machine learning algorithms to accelerate drug ...
This interview addresses the challenges and complexities of developing and manufacturing controlled-release drug formulations. Could you introduce yourself and your expertise in drug development and ...
The media have been replete with reports of ways in which the pharmaceutical industry has been able to increase revenue from medications that have been available for decades. 1 We report a new ...
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