The CT-based whole-lung radiomic nomogram accurately identifies AECOPD and offers a robust tool for clinical diagnosis and treatment planning.

A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...

Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.

A machine learning model using routine lab data at 3 months postdiagnosis accurately predicted mortality or liver transplant risk in autoimmune hepatitis.

Among adolescent girls with concussion, greater initial emotional symptom severity, reflected in higher anxiety, depression, and sleep disturbance scores, was associated with a higher likelihood of ...

Researchers identified that newly derived risk scores can safely predict the risk of myocardial infarction (MI) and major ...

Guerschon Yabusele is operating on a steep learning curve, according to his new head coach, and it has looked like that. Yabusele, 29, has struggled to find his footing this preseason, while ...

UNC visits California on Friday night, and in this preview show we discuss the game, some keys, and Bill Belichick's learning curve and how the performance might reflect where things are. With UNC ...

Ayodhya celebrated Deepotsav 2025 on Sunday with unmatched grandeur and devotion, as thousands of devotees thronged the city’s ghats along the River Saryu. Organised by the Uttar Pradesh Tourism and ...

Conclusions: There is a potential mismatch between what clinicians identify as important in determining palliative care need and final eligibility determinations. Patients with dementia were less ...