Systematic review finds diabetes risk models after gestational diabetes fall short
A systematic review of 19 studies and 20 prediction models finds that prognostic tools for type 2 diabetes after gestational ...
A systematic review of 19 studies and 20 prediction models finds that prognostic tools for type 2 diabetes after gestational ...
A study of 14,346 Native Hawaiians shows that combining trans-ancestry polygenic scores with machine-learning dietary scores substantially improves BMI prediction, ...
In a single-center retrospective cohort of 1,898 patients hospitalized with acute heart failure, higher admission values of a composite nutritional ...
A UK Biobank cohort study links higher FIB-4 liver fibrosis risk categories to increased cardiovascular events in MASLD, with shared ...
In a nine-year cohort of 4,935 Chinese adults, high eGDR combined with high NCCR was associated with a 37% lower ...
A retrospective machine learning study of 19,805 ICU patients with sepsis found that lower early serum magnesium levels were consistently ...
A Matters Arising commentary argues the EHMRG-BI mortality risk model for older adults with acute heart failure is promising but ...
A nine-predictor machine-learning model using routine laboratory data identified more than half of large negative eGFR discordance cases in adults ...
A multicenter Argentine cohort study developed a five-variable predictive model, built into a nomogram, that estimates the risk of intubation ...
A longitudinal analysis of 6,096 CHARLS participants found that a higher frailty index, stress-hyperglycemia ratio, and their combined product were ...
A retrospective cohort study of 367 heart attack patients links fat volume around the heart, measured on routine non-contrast chest ...
Machine learning models built from preoperative eye measurements predicted both the occurrence and the relative area of opaque bubble layers ...
A new framework recalibrates published polygenic risk scores to local biobank data, improving risk prediction for coronary artery disease, breast ...
A hybrid classical-quantum support vector machine trained on more than 14,000 maternal records from Uganda and Pakistan predicted mental health ...
A new hypothesis-driven review proposes that compound deep-underground exposures could modify pulmonary embolism susceptibility and recognition, while stressing that direct ...
A new hybrid explainable machine learning framework combines satellite environmental data with health records to predict cardiovascular disease risk at ...
Deep learning models trained on pre-procedural ultrasound videos predicted the success of transcatheter mitral valve edge-to-edge repair with an AUC ...
A retrospective study of 186 traumatic brain injury patients found that a model using four admission variables predicted in-hospital complications ...
A retrospective study of 189 heart attack patients found that age, mean platelet volume and the hemoglobin-to-red cell distribution width ...
A nationwide Chinese cohort study links higher cumulative CHG index exposure and persistently high change patterns to increased risk of ...
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