New Nomogram Predicts Significant Liver Fibrosis in Bile Duct Disease
A multicenter retrospective study developed a nomogram using four routine blood parameters that outperformed conventional serum indices for detecting significant ...
A multicenter retrospective study developed a nomogram using four routine blood parameters that outperformed conventional serum indices for detecting significant ...
A retrospective single-center study of 487 patients developed interpretable machine learning models that predict gangrenous cholecystitis before surgery using five ...
Protein risk scores built from 14 blood proteins each improved cardiovascular risk classification beyond traditional scores in a Chinese community ...
A LightGBM-based diagnostic model was developed and validated in a multicenter retrospective study to improve the timely identification and risk ...
A cross-sectional analysis of 21,011 health screening participants found that higher visceral fat area, along with older age, female sex, ...
A machine-learning model based on six serum proteins diagnosed esophageal squamous cell carcinoma with AUCs of 0.932 and 0.968 in ...
A multicenter case-control study in Henan Province, China, reports an interpretable XGBoost model that distinguishes active pulmonary tuberculosis from latent ...
A machine learning model trained on ICU data from two databases predicts 28-day mortality in sepsis patients with diabetic retinopathy ...
A retrospective study of 970 intensive care patients in Guangdong, China, found that anaemia and prior antifungal drug exposure independently ...
A new laboratory study finds that only some commercially available essential oil candles effectively repel Aedes aegypti mosquitoes, with chemical ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine