Rapid Adoption of Molecular Modelling, Biocontent Management, and Sequence Analysis Technologies Reshaping How the Pharmaceutical Industry Discovers Next-Generation Therapeutics.Austin, United States, ...
In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.
Machine learning in drug discovery, along with artificial intelligence, is transforming the pharmaceutical industry by accelerating the development of new treatments. Historically, the process of ...
In a recent medium.com blog post, Daphne Koller — an artificial intelligence researcher at the Department of Computer Science at Stanford University and, until just a few months ago, chief computing ...
Isomorphic Lab’s proprietary drug-discovery model is a major advance, but scientists developing open-source tools are left ...
Pharmaceutical Technology on MSN
RNA-targeting small molecules: A new frontier of drug discovery
With big pharma signalling interest in novel RNA-targeted approaches, the term “druggable” is being redefined as technology ...
(L) First and co-corresponding author Charlie Wright, PhD, St. and (R) co-corresponding author Paul Geeleher, PhD, both of the St. Jude Department of Computational Biology. (MEMPHIS, Tenn. – December ...
SOUTH SAN FRANCISCO, Calif.--(BUSINESS WIRE)--insitro, a pioneer in machine learning for drug discovery and development, today announced a new collaboration with Eli Lilly and Company (Lilly) to ...
From antibiotic resistance to emerging viral threats, the global demand for new medicines is intensifying, yet traditional drug discovery pipelines remain slow and expensive. A new scientific review ...
The National Academies of Sciences, Engineering, and Medicine are private, nonprofit institutions that provide expert advice on some of the most pressing challenges facing the nation and world. Our ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results