The Food and Drug Administration (FDA) development and approval process for drugs and medical devices involves multiple phases that ensure the safety and effectiveness of products before and after ...

Through predictive modelling, AI supports target identification, prediction of physicochemical properties and formulation strategy selection.

Today, the integration of AI and digital technologies is fundamentally rewriting the rules of R&D—serving as the ultimate breakthrough to shatter industry bottlenecks and drive unprecedented ...

The potential of using artificial intelligence in drug discovery and development has sparked both excitement and skepticism among scientists, investors, and the general public. Researchers have ...

The goal of this collaborative was to examine the contributing factors towards the failure of late-stage clinical product development and develop key considerations for stakeholders to improve the ...

Southwest Research Institute scientists developed a new purification technique to improve chromatography results without expensive purification materials or equipment. Chromatography is an essential ...

Given there is no open source software available for the types of analysis required, proprietary algorithms are required. For this, mechanisms to extract data based on the objective of analysis are ...

The potential of using artificial intelligence in drug discovery and development has sparked both excitement and skepticism among scientists, investors and the general public. “Artificial intelligence ...

Continuous process improvement can benefit all aspects of life — from personal New Year’s resolutions to complex drug development. In a world where two-thirds of planned improvement initiatives fail, ...

The U.S. Food and Drug Administration (FDA) announced a new process called “Rare Disease Evidence Principles” (RDEP), under which eligible drugs and biologics for ultra-rare diseases caused by known ...