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 ...

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 ...

(MENAFN- GetNews) On August 30, 2021, CD Formulation, a leading CRO service provider in the industry, announces the release of drug solubility analysis, which is an indispensable step in drug ...

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 ...

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 ...

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 ...

Researchers develop an oil-based gel formula suitable for metered dosages of medication. There are many reasons why someone might find it difficult to swallow solid medications like pills and tablets.

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 ...