AI Learns to Spot Vision-Threatening Swelling in Rare Eye Disease From Retinal Scans
A convolutional neural network trained with transfer learning can identify angiographic patterns of cystoid macular edema in retinal vasculitis patients, ...
A convolutional neural network trained with transfer learning can identify angiographic patterns of cystoid macular edema in retinal vasculitis patients, ...
A leakage-controlled multimodal AI model combining PET/CT radiomics, deep-learning features, metabolic parameters and blood-based indices achieved moderate preoperative prediction of ...
A new CMR and machine-learning study shows that layer-specific heart muscle strain combined with routine blood tests can distinguish acute ...
A Chinese proof-of-concept study found that a CT radiomics model predicting early response to radiotherapy in elderly esophageal cancer patients ...
Researchers in China built a prototypical network-based few-shot learning framework that reproduces expert consensus severity stratification in newly diagnosed Crohn's ...
Machine learning analysis of oral rinse samples from The Maastricht Study identified the protein REG1A as a non-invasive marker of ...
Researchers in Qingdao developed an interpretable XGBoost model that distinguishes gastric cancer from intestinal metaplasia in patients with psychological symptoms ...
A new Python-based tool called NV4GP brings statistically rigorous nested cross-validation and independent validation to genomic prediction, allowing breeders without ...
Researchers in Croatia show that threshold-calibrated machine learning models built on routine clinical and laboratory data can identify a small ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine