The pharmaceutical supply chain and device development have become intricately linked. Harmonizing formulation development ...

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 ...

Innovation drives speed in early phase drug development. ICON’s Accelerated Pharmaceutical Solutions integrate advanced ...

Drug discovery is a high-risk, high-cost endeavor, with over 90% of candidates failing in clinical development. A significant proportion of these failures stem from unresolved biopharmaceutic ...

Despite increased labeling of drugs with pediatric information, most medicines remain available only as pills meant for ...

Pharmacokinetic and safety studies were analyzed to demonstrate the safety and efficacy of TRN-257, as well as previous research on oxybate products.

New and existing technologies, as well as a patient-centric focus, are pushing drug formulation into exciting directions. There are a variety of factors pushing innovation in formulation of drug ...

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 ...

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 ...

Artificial intelligence and machine learning can help overcome poor solubility and bioavailability. Artificial intelligence (AI) and machine learning (ML) in the biopharmaceutical industry have been ...

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 ...