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 ...

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 ...

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 ...

Dave Miller, PhD, explains how early formulation planning, novel platforms, and tailored approaches secure long-term protection against generics. In this final part of our 5-part interview series on ...

Patients with some cancers, autoimmune diseases, and metabolic disorders often endure time-consuming intravenous (IV) infusions to receive the best protein-based treatments available. Because these ...

Intrepid Labs’ Valiant platform uses AI and robotics to cut drug formulation timelines from months to days Over $11M USD total raised to-date; latest round led by AVANT BIO TORONTO--(BUSINESS ...

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 ...