Connectivity between laboratory instruments is crucial for capturing large quantities of multimodal data generated during the drug discovery and development process. With the launch of its newest ...
FRANKLIN LAKES, N.J. & SAN DIEGO--(BUSINESS WIRE)--BD (Becton, Dickinson and Company) (NYSE: BDX), a leading global medical technology company, and Biosero, a developer of laboratory automation ...
For decades, researchers have sought a fast track to drug discovery. Yet the process has been getting slower, as well as riskier and more costly. It generally takes 12–15 years from the initiation of ...
David Reese calls it a “hinge moment” — the turning point when biotech and big tech merge to attack human disease with artificial intelligence. At Amgen, where he’s led drug research and development ...
Over the past year, drug discovery has gotten a massive boost from the CAS BioFinder Discovery Platform, which allows scientists to explore known and predicted data that accelerate the preclinical ...
Researchers studying Alzheimer’s disease are using artificial intelligence-powered databases to accelerate the drug discovery process by making it easier to sift through vast amounts of biomedical ...
Insilico Medicine, a developer of artificial intelligence tools for drug discovery, has mapped out its process for making an experimental drug for idiopathic pulmonary fibrosis (IPF). In a paper ...
SAN FRANCISCO, June 18 (Reuters) - SandboxAQ, an artificial intelligence startup spun out of Alphabet's Google and backed by Nvidia (NVDA.O), opens new tab, on Wednesday released a trove of data it ...
Drug discovery has traditionally been slow and expensive, often taking decades and costing manufacturers billions. Traditional methods, while advancing, are hitting limits in tackling the complexities ...
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