Drug development is an unforgiving business. Discovering a novel molecule is difficult enough, but then it can take years of preclinical studies and molecular tweaking to mitigate a drug’s toxicity, ...

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 ...

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 ...

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: ...

Expertise in CMC (chemistry, manufacturing, and control) ensures the appropriate manufacture of a pharmaceutical or biologic by coordinating material characterization, formulation development, and ...

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 ...

Sponsored by Specac LtdReviewed by Maria OsipovaOct 15 2025 Formulation scientists are behind the conversion of active pharmaceutical ingredients (API) into stable, bioavailable, and commercially ...

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 ...

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 ...