New Prediction Tool Flags Breast Cancer Patients at Highest Risk of Arm Lymphedema
Researchers in China have developed and validated a ten-variable nomogram that predicts postoperative lymphedema risk in breast cancer patients with ...
Researchers in China have developed and validated a ten-variable nomogram that predicts postoperative lymphedema risk in breast cancer patients with ...
A dual-center study shows that a deep learning radiomics model applied to routine mammograms can noninvasively predict HER2-positive and HER2-low ...
A retrospective cohort study of 559 injured children at a Level I trauma center finds that a combined model integrating ...
Researchers in Guangzhou have developed and externally validated a seven-variable nomogram that predicts one-, three-, and five-year risk of LDL-C ...
Researchers trained seven machine-learning models on structured ECG reports from more than 11,000 hospitalized children and found that the reports ...
A two-center study trained a deep learning radiomics model on routine breast ultrasound images to predict sentinel lymph node metastasis ...
A machine learning model combining serum thermal fingerprints from differential scanning calorimetry with clinical variables achieved an AUC of 0.85 ...
A Swedish study of 133 patients shows that FDG-PET/CT response assessment after chemoradiotherapy strongly predicts recurrence and overall survival in ...
A new systematic review of 28 studies finds that deep learning detects vulnerable carotid plaques with a pooled AUC of ...
A new meta-analysis of eleven studies finds that AI-driven analysis of routine contrast-enhanced CT scans can predict the Ki-67 proliferation ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine