Imaging, Genes and Proteins Combine to Predict Liver and Pancreas Disease Risk
A UK Biobank study of 38,844 participants shows that integrating MRI-derived liver and pancreas traits with genetic variants and proteomic ...
A UK Biobank study of 38,844 participants shows that integrating MRI-derived liver and pancreas traits with genetic variants and proteomic ...
Researchers have built a modular AI framework that improves automated chest X-ray report generation by retrieving similar past cases at ...
A clinical-radiomics machine learning model can detect hypoxic-ischemic encephalopathy in term newborns whose conventional MRI scans appear visually normal, achieving ...
A deep learning model that reads multiregional contrast-enhanced breast MRI can predict whether chemotherapy has completely cleared the axillary lymph ...
When a routine chest scan reveals a solid nodule deep in the lung, patients and their doctors face one of ...
A new machine learning study shows that fusing shape biomarkers from the lungs and mediastinum on pediatric chest X-rays can ...
Machine learning models can now outline a brain tumor on an MRI scan with an accuracy that would have seemed ...
A Chinese proof-of-concept study found that a CT radiomics model predicting early response to radiotherapy in elderly esophageal cancer patients ...
Chinese researchers have built a machine-learning nomogram that combines biparametric MRI radiomics, clinical variables, and PI-RADS scores to predict clinically ...
A two-center study shows that radiomic analysis of MR cytometry parameter maps outperforms mean-value-based diffusion MRI metrics for distinguishing benign ...
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© 2026 Scienmag - Science Magazine