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 ...

"Every drug that reaches the market depends on an optimal formulation. While the industry has heavily invested in AI and predictive tools across the drug development pipeline, formulation has remained ...

PRINCETON, N.J., Nov. 21, 2023 (GLOBE NEWSWIRE) -- Certara, Inc. (Nasdaq: CERT), a global leader in biosimulation, today announced the introduction of Simcyp™ Biopharmaceutics software. It is designed ...

Conduit Pharmaceuticals Inc. has announced a strategic services agreement with Agility Life Sciences to develop new solid oral-dosage form products for its autoimmune pipeline, intended for future ...

The biopharmaceutical industry stands on the cusp of a revolution, with artificial intelligence (AI) emerging as a transformative force in drug development. AI's ability to reduce the time and cost of ...

Siddhant Sojitra, Alexion, defines in an AAPS PharmSci 360 2025 presentation an agitation model to reliably test stability for early-stage biologics. Mechanical stress testing is essential because ...

AI and ML predict solubilization technologies, optimizing drug-excipient interactions and reducing trial-and-error in formulation development. Digital twins, trained ...

The MarketWatch News Department was not involved in the creation of this content. AI-driven robotics platform reduces drug formulation development time from years to months SACRAMENTO, Calif., May 19, ...

TORONTO, January 10, 2023 [Embargo 10 a.m. London Time] – Scientists at the University of Toronto have successfully tested the use of machine learning models to guide the design of long-acting ...