AI Reads Routine CT Scans to Predict Gastric Cancer Biomarker Without Biopsy
A multicenter study of over 1,000 gastric cancer patients shows that machine learning analysis of routine CT scans can non-invasively ...
A multicenter study of over 1,000 gastric cancer patients shows that machine learning analysis of routine CT scans can non-invasively ...
A Chinese research team has shown that machine learning analysis of tumor sub-regions and surrounding tissue on non-contrast CT scans ...
Chinese researchers have built a nomogram from serum interleukin-1 beta, interleukin-6, and vitamin D levels that distinguishes complex from simple ...
Researchers in Guangzhou have developed and externally validated a seven-variable nomogram that predicts one-, three-, and five-year risk of LDL-C ...
Researchers in China built a six-variable nomogram from national CHARLS survey data that uses logistic regression and SHAP analysis to ...
Researchers in China have developed a nomogram based on three CTPA-derived cardiac measurements that identifies group 1 pulmonary arterial hypertension ...
Researchers in China have developed and internally validated a four-variable nomogram that predicts postpartum fatigue with good accuracy during routine ...
A new study shows that combining baseline dual-layer spectral detector CT measurements with clinical factors such as B symptoms and ...
A single-center study of 127 patients found that a preoperative fibrinogen-to-albumin ratio independently predicted muscle-invasive and locally advanced upper tract ...
A new study shows that a simple index combining hemoglobin and the albumin-to-alkaline phosphatase ratio can predict survival outcomes in ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine