Mechanistic models and hypothesis-driven strategies generate optimized efficient solutions for drug development, says Catalent’s Nathan Bennette at AAPS PharmSci ...
To optimize the final formulation for a drug, it must meet many criteria beyond producing a safe and effective product. For example, it must be stable and amenable to various manufacturing steps, such ...
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 ...
The advent and proliferation of targeted modalities represent an evolutionary leap forward in drug development. By binding ...
Scientists at the University of Toronto have successfully tested the use of machine learning models to guide the design of long-acting injectable drug formulations. The potential for machine learning ...
TRS offers a robust solution for analyzing heterogeneous samples, providing comprehensive spectral data essential for ...
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 ...
Small Pharma is evaluating the best way to administer N,N-dimethyltryptamine (DMT) in a therapeutic setting for the treatment of depressive disorders. DMT—the primary psychoactive compound in ...
In the last 10 years, there has been significant development in computer simulation of pharmaceutical materials, processes and product performance. Gradually, more mechanistically based models are ...
Pharma Formulations 2020 Conference is a multidisciplinary program with broad participation with members from around the globe focused on learning about formulations and drug delivery and its advances ...
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