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Recently, with the in-depth study of biological network structures, methods such as graph neural networks and graph contrastive learning have attracted significant attention and demonstrated notable ...
The fresh energy brought by the revitalized research attention offers an opportunity to more closely integrate novel drug discovery, residue monitoring, and ...
PORTLAND, IN, UNITED STATES, July 3, 2025 /EINPresswire.com/ -- According to the report, the global animal model market was valued at $1.9 billion in 2022 and is estimated to reach $3.6 billion by ...
A team of researchers from the MIT Sloan School of Management, the Sean M. Healey & AMG Center for ALS at Massachusetts ...
UB scientists Ram Samudrala, PhD, and Zackary M. Falls, PhD, talk about the new platform to make drug discovery faster and less expensive while also being safe and effective.
Recursion Pharmaceuticals RXRX is redefining the traditional model of drug discovery by harnessing the power of artificial ...
Optibrium, a leading developer of software and AI solutions for molecular design, today announced its partnership with ...
While biopharmaceutical technologies have made substantial strides in treating diseases, drug research and development ...
Here we use cryogenic electron microscopy to determine the structure of TbAQP2 from Trypanosoma brucei, bound to either the substrate glycerol or to the sleeping sickness drugs, pentamidine or ...
A new study by researchers in the Department of Clinical Neuroscience, Karolinska Institutet, has identified 18 potential ...
Shandong University developed an advanced AI framework that predicts molecular properties in seconds with high accuracy and minimal computational ...
A review from Xidian University shows that advanced computational algorithms—from neural networks and matrix methods to recommendation engines and ...