A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to ...
A team of researchers has built a new protein sequencing workflow that pairs mirror proteases with deep learning software to read peptide sequences with far greater accuracy than previous methods.
Researchers from UC Berkeley, Yale, Stanford’s Global Policy Laboratory, and NBER developed a deep learning method to predict ...
Coronary artery disease is the leading cause of death globally. One of the most common tools used to diagnose and monitor heart disease, myocardial perfusion imaging (MPI) by single photon emission ...
Pharmacokinetics and biomarker analysis from a phase 1/2 open-label study of the anti-GPC3 T-cell engager SAR444200, in patients with advanced solid tumors. Phase 1/2 study of NGM707, an ILT2/ILT4 ...
Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for ...
Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025, focusing on graph neural networks (GNNs), sequence-to-sequence (Seq2Seq) ...
Discover how researchers are revolutionizing civil engineering with a new deep learning model that can analyze complex structural systems faster and more accurately than ever before. Learn about the ...
A scientist in Sweden has developed a new hybrid local features-based method using thermographs to identify faulty solar panels. A researcher from Sweden’s Jönköping University has proposed a machine ...