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 ...

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 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 ...

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 ...

In the fast-paced world of drug development, time is often the most precious commodity. For biotech companies working on oral ...

Non-invasive delivery systems, like needle-free nasal sprays, improve patient adherence by addressing psychological barriers and offering logistical advantages such as extended shelf life and ...

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 ...

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 ...