Dual-Phase CT Lobar Radiomics Improves Detection of Chronic Airflow Limitation
Lobar classical radiomics from combined inspiratory and expiratory CT scans outperformed handcrafted measures in detecting chronic airflow limitation in a ...
Lobar classical radiomics from combined inspiratory and expiratory CT scans outperformed handcrafted measures in detecting chronic airflow limitation in a ...
A multicenter retrospective study validated an admission-based prediction model estimating the risk of two- to eight-week coronary artery Z score ...
Researchers developed a hybrid machine learning pipeline using transfer-learned CT features to accurately predict postoperative pulmonary function without requiring baseline ...
A Greek birth cohort study found that metabolite signatures in six-year-old children's serum and urine were associated with internalizing and ...
An analysis of 23 Sudanese pumpkin seed landraces found the highest oil content in South Kordofan samples and identified tocopherol ...
A machine learning model built on standard clinical data could predict weight gain after kidney transplantation only weakly, explaining a ...
A prognostic model combining BMI, treatment history and self-injury predicted remission in anorexia nervosa far better than DSM-5 weight-based severity ...
Researchers at Banasthali Vidyapith developed an explainable machine learning system that predicts university student academic performance with an R-squared of ...
Researchers built proteomic risk scores from nearly 3,000 blood proteins that predict type 2 diabetes, hypertension, and hyperlipidemia years in ...
Kyoto University researchers used machine learning to design a six-bacterium microbial community that significantly boosted tomato growth and high-temperature tolerance ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine