Tag: risk stratification

A multicenter German study of 595 patients shows that takotsubo syndrome carries sharply different risks depending on its trigger, with ...

A study of 471 patients found that the CALLY index, calculated from routine admission blood tests, outperformed established inflammatory and ...

Researchers have fused a validated blood biomarker algorithm into the standard ultrasound classification for ovarian masses, sharply improving the accuracy ...

A large cohort study shows that patterns of routine liver test abnormalities identify distinct short-term mortality risks in patients hospitalized ...

A new interpretable AI model called PRISM combines pathology slides with transcriptomic pathway data to sharpen progression-risk prediction in early-stage ...

Researchers at Amrita Vishwa Vidyapeetham built an explainable machine learning framework that predicts student dropout risk from academic, financial, health, ...

A retrospective study of 119 patients identifies older age, acute cerebral infarction, and hydrocephalus on contrast-enhanced MRI as independent predictors ...

An interpretable machine learning model built on the Minority Stress Model identified depression risk among men who have sex with ...

A single-cell transcriptomic analysis of paired diagnosis and relapse samples identifies chemoresistant cell populations that, combined with cytogenetics and measurable ...

A BMC Cancer study fused a routine blood-based inflammation index with age, smoking history, and AJCC stage to build a ...