Researchers have applied AI and machine learning to every stage of the drug development process. This includes identifying targets in the body, screening potential candidates, designing drug molecules ...

A growing body of research has examined the IRA’s implications for pharmaceutical innovation. Much of this literature has focused on the potential impact on the number of new drug launches, 5, 6 but ...

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 ...

Digital twins revolutionize drug discovery by integrating AI and biological data, enhancing prediction, trial design, and decision-making in precision medicine.

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 ...

AI boosts efficiency in early, high-failure R&D, improving success rates and capital efficiency across biotech and pharma.

Modern pharmaceutical research is undergoing a transformation driven by the integration of artificial intelligence (AI), multi-omics technologies and advanced experimental methods. A recent review ...

FRANKFURT, Germany--(BUSINESS WIRE)--Thermo Fisher Scientific Inc., the world leader in serving science, will showcase its latest flexible solutions to help boost efficiency and scale in ...