A Scientific Reports study developed a pattern neural network that integrates total antioxidant status with clinical and ...

While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...

Background Adverse childhood experiences (ACEs) are traumatic events that occur before a child reaches the age of 15 with ...

The researchers also argue that explainable AI models are essential for ensuring fairness and accountability in policy design. In traditional statistical models, the relationships between variables ...

Introduction Pre-exposure prophylaxis (PrEP) is an effective HIV prevention strategy, but its impact is limited by low uptake ...

Objectives Delays in cancer diagnosis for patients with non-specific symptoms (NSSs) lead to poorer outcomes. Rapid Diagnostic Clinics (RDCs) expedite care, but most NSS patients do not have cancer, ...

Objectives To explore the levels of health-related functioning during pregnancy and postpartum and its association with non-severe maternal morbidities. Design An observational longitudinal study.

Background Few studies have investigated patient-reported non-motor outcomes after stroke in young adults. We aimed to assess ...

Background Primary healthcare is crucial for universal health coverage in low- and middle-income countries. While research on ...

Predictive Analytics is a sophisticated forecasting system that relies on data mining, statistical modelling, and machine learning. It is an offshoot of advanced analytics that uses historical data to ...

Puducherry: The Department of Biostatistics, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, has announced the 8th JIPMER Research Leadership ...