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 ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...
In the rapidly advancing field of computational biology, a newly peer-reviewed review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction. The ...
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 ...
In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or ...
Researchers developed ShapKAN, a deep learning model integrated into the AI4Min-PE platform ( enabling instant prediction and ...
Lightning is one of the primary causes of transmission line trips, posing a significant threat to the safety of power grids. However, due to the complexity and sporadic nature of lightning, achieving ...
The integration of artificial intelligence (AI) with imaging has emerged as a transformative force in the field of oral oncology. Oral cancer remains a ...
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