AI-Powered Cancer Drug Research Has Exploded Since 2018, Landmark 15,554-Study Analysis Reveals
A bibliometric analysis of 15,554 publications maps the explosive growth, global leaders, and future challenges of AI-driven anticancer drug design ...
A bibliometric analysis of 15,554 publications maps the explosive growth, global leaders, and future challenges of AI-driven anticancer drug design ...
A new systematic review reveals how artificial intelligence, generative models, and quantum computing are converging to transform drug discovery and ...
A new review in Acta Neuropathologica chronicles four decades of Byron Caughey's pioneering work on prion disease inhibitors, from infrared ...
A new framework called TDiMS rebuilds molecular descriptors around pairs of chemically meaningful substructures, aiming to make predictions of intramolecular ...
Scientists report that TRI-611, a brain-penetrant molecular glue degrader, eliminates ALK fusion proteins and drives tumor regressions in preclinical models ...
A structured review finds eleven African and Asian Thalictrum species rich in bioactive alkaloids but reveals that most pharmacological claims ...
Scientists created CJ1, a hydrophobic tagging molecule that selectively destroys the DAPK1 kinase via the proteasome, reducing tau phosphorylation, neurofibrillary ...
A new perspective argues that cardiovascular discovery should begin with integrated human multi-omics data rather than animal models, reversing the ...
Researchers have unveiled a hybrid AI framework that combines logical rule-learning with large language models to generate drug candidate molecules ...
A new dual-view graph neural network called HD-SKRG achieves state-of-the-art few-shot molecular property prediction by combining hierarchical atom and functional-group ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine