Background The likelihood of HIV acquisition is increased following forced vaginal sex. This relates in part to ...

Objectives To estimate the association between maternal perinatal mood and anxiety disorder (PMAD) symptoms and infant health ...

A new model improves prediction of spontaneous stone passage using ultrasound and CT. Learn how it can guide conservative ...

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 ...

In a randomized clinical trial, researchers compared the effect of single vs multiple treatment alternatives on care decisions.

Customer churn remains a huge issue for telcos, but AI could be the key to changing that. Or, it could fail to live up to its ...

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

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 ...

According to the findings, older adults who reported a high tinnitus burden were seven times more likely to experience ...

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

Aim To understand whether the risk of complications following paediatric cardiac surgery differs according to a child’s ...

Delayed consultation represents a major barrier to effective stroke management in Pointe-Noire. It is associated with ...