In a recent study published in the journal Nature Methods, a group of researchers developed a novel method called Ribonucleic Acid (RNA) High-Order Folding Prediction Plus (RhoFold+). This deep ...
Safety and biomarker assessment of ST316, a novel peptide antagonist of ß-catenin, in patients with advanced solid tumors. This is an ASCO Meeting Abstract from the 2025 ASCO Gastrointestinal Cancers ...
Use of an artificial intelligence model to predict Ki67 from H&E-stained whole slides images in breast cancer. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does ...
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 ...
Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025 ...
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...
Soft Computing (SC) is an Artificial Intelligence (AI) approach that is more effective at solving real-life problems than traditional computing models. Soft Computing models are tolerant of partial ...
Evaluation of deep learning tools underscores strengths, limitations and opportunities for next‑generation hybrid modeling.
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