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Follow Scientific ComputingResearchers in India have developed an AI system, combining convolutional neural networks and vision transformers, to classify colorectal histopathology images with 96.27% accuracy. This significant advancement in automated pathology could alleviate diagnostic burdens for one of the deadliest cancers, potentially speeding up and improving early detection.
Scientists in the UAE have utilized artificial intelligence to identify a potential new drug candidate for blood cancer, as detailed in the Journal of Medicinal Chemistry. This development by Insilico Medicine marks another AI-assisted drug discovery this year, underscoring AI's growing role in accelerating medical research and offering hope for serious diseases.
Researchers have proposed a novel graph neural network (GNN) framework designed to predict atomic displacements and propagate atomistic configurations in molecular dynamics simulations. This approach aims to model atomic dynamics across various crystal symmetries without explicit force evaluation, potentially enhancing materials science research. The work is currently a preprint.