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.

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 ...

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 ...

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

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 ...

Karnataka HC asks RSS to file fresh petition for route march in Chittapur on Nov 2 Travis Scott India concert: Fans say he is 'never coming back' after 'dead' crowd Ranchi: Restaurant Owner Shot Dead ...

These questions come from my Udemy training and the certificationexams.pro website, resources that have helped many students pass the DP-100 certification. These are not DP-100 exam dumps or ...