This figure illustrates three key applications of AI in antimicrobial drug development: (1) target identification and validation, including novel target discovery, affinity prediction, multi-target ...
EDINBURGH, United Kingdom and CAMBRIDGE, United Kingdom, Nov. 25, 2025 (GLOBE NEWSWIRE) -- Macomics Ltd, a leader in macrophage drug discovery, announces that it has validated its ENIGMAC™ platform in ...
From target identification and molecular design to patient stratification and clinical trial optimization, artificial intelligence (AI) is showing remarkable promise in accelerating drug discovery and ...
Several European biotechs, including Cellbox Labs, Evotec SE, Nanolive SA, and Salipro Biotech AB, have developed innovative ...
When Insilico Medicine’s CEO Alex Zhavoronkov, PhD, and his co-authors wrote their 2023 opinion paper on AI-powered target discovery, 1 he was thinking about how often target discovery is ...
This article is based on a poster originally authored by Peter Hsueh, Lili Qin, Jane Liu and Wenlin Ren. Target proteins are central to the antibody discovery process. These reagents play a critical ...
The convergence of genomics, systems biology, and artificial intelligence is transforming the landscape of drug discovery. Modern genomic technologies now ...
In drug discovery, a research director faces considerable challenges trying to make consistently good decisions concerning target selection. The task is comparable to a treasure hunt with many ...
Most AI drug development is fueled by foundation models in biology—models that are trained on vast biological data sets and ...
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