Researchers developed multiple architectures, including U-Net 2D and 3D CNNs, as well as a Vision Transformer (ViT), to ...

AlQuraishi developed a deep-learning model, termed a recurrent geometric network, which focuses on key characteristics of protein folding. But before it can make new predictions, it must be trained ...

Accurate predictions help manage water supply, predict flood risks, and maintain the health of aquatic ecosystems. Deep learning (DL), which uses neural networks to model complex patterns ...

A research team, led by Professor Jimin Lee and Professor Eisung Yoon in the Department of Nuclear Engineering at UNIST, has unveiled a deep learning–based approach that significantly ...

Zachary Ross at Caltech and others are using deep learning to pick seismic ... out to be the signal that allowed machine learning to make its predictions. In the field, Johnson’s team applied ...

The first and only deep learning prediction of IIP to date is by Cheng et al. 32 They used five outputs from a ResNet50 plus clinical data for 141 patients to achieve an AUC of 0.869, which, ...

Implications of EGFR expression in MAPK dependency and adaptive immunity status of EGFR-mutated lung adenocarcinoma. Baseline RADAR score and optimal threshold of predicting relapse within one year ...