Through predictive modelling, AI supports target identification, prediction of physicochemical properties and formulation strategy selection.

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: ...

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 ...

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 ...

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 ...

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 ...

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 ...

Pharmaceutical engineering is a powerful career pathway for students who want to turn scientific knowledge into medicines that make a real difference to patients’ lives.

Wesley Pharmaceuticals, a state-of-the-art 503(b) outsourcing facility and sister brand of the nation’s leading 503A and 503B compounding pharmacy, Olympia Pharmaceuticals, officially announced the ...