Saptalis Pharmaceuticals and Coformer AI today announced a strategic research partnership to develop next-generation pharmaceutical formulations that address some of the industry's most persistent ...

Creative Biolabs provides customized support across key stages of lipid-based therapeutic development, helping researchers optimize delivery systems for different types of therapeutic payloads, ...

Poor drug solubility continues to be one of the most significant challenges in small molecule drug development, impacting bioavailability, formulation design, clinical performance, timelines and ...

Inhalation formulations are complex, and empirical data are essential for realizing optimal solutions. Inhaled drug formulation involves consideration of multiple factors, including the properties of ...

The aim of any formulation scientist is to create a product that is safe, effective, stable, and distinct from competitor drugs. It also helps if the product is as patient friendly as possible to ...

Applying the right formulation strategies early in the drug development process can help avoid costly late-stage failures. Improving R&D productivity continues to be a key challenge for the ...

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

To win at the drug development game, it’s not enough to show up with a great molecule. Many compounds would stall at the discovery stage without effective ways to get them inside patients. But the ...

Hyderabad, India, July 1, 2015: Asia's leading Discovery Research and Development organization, GVK BIO, announced the extended collaboration with Melbourne, Australia based clinical stage ...

Clinical evaluation of several modified release once-daily formulations of danuglipron resulted in encouraging pharmacokinetic data for several candidates with one showing the most favorable profile ...

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 ...