Stability is a critical factor in drug formulation, with implications for product quality, lifecycle management, and ...

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 ...

PharmTech spoke with Dr. Asma Patel, VP Global Commercial and Scientific Consulting–Drug Product, to find out how the growth ...

Experts have been raising concerns about “AI washing.” One of these experts, futurist Bernard Marr, has said that AI washing “involves exaggerating the capabilities of a product or service that is ...

In today’s ACT Brief, we look at why durable signal closure is emerging as a defining metric in risk-based quality management ...

Mechanistic models and hypothesis-driven strategies generate optimized efficient solutions for drug development, says Catalent’s Nathan Bennette at AAPS PharmSci ...

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 ...

A new computer model could help predict and improve antibody drug formulations. The goal is for patients to be able to ...

Proteolysis-targeting chimeras (PROTACs), particularly those incorporating the von Hippel–Lindau (VHL) E3 ligase ligand, present significant physicochemical challenges due to their large molecular ...