Persist AI, an AI and robotics-powered pharmaceutical formulation research company, today announced a strategic collaboration with Microsize and Micromacinazione, pioneers in pharmaceutical ...

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, ...

Nottingham-based Quotient Sciences has launched what it believes is the world’s first clinical trial of a drug formulation ...

Artificial intelligence is shifting formulation development from empirical trial-and-error to predictive, data-driven design ...

Quotient Sciences today announces the successful initiation of a clinical study evaluating a novel drug product developed ...

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 ...

CRYSTAL LAKE, Ill.--(BUSINESS WIRE)--Aptar Pharma, a global leader in drug delivery and active material science solutions and services, today announced that it has entered into an exclusive ...

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 ...

High-concentration formulations and patient centricity are challenges to the formulation of biosimilars, which already face patent protection barriers. Biosimilar formulation development requires ...

Medicus Pharma Ltd. (NASDAQ: MDCX) (“Medicus” or the “Company”), a biotech/life sciences company focused on advancing the clinical development programs of novel and potentially disruptive therapeutics ...

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 ...

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 ...