What recruiters will truly seek from 2026 data science graduates

The data science landscape is not merely evolving; it is undergoing a profound transformation. The graduate of 2021, equipped ...
Open Heart

Artificial intelligence-based clustering to identify functional risk phenotypes in heart failure

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...
Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
The BMJ

Adherence to legislation and recommendations to publicly post protocols and results of post-authorisation studies registered with European Medicines Agency: cross sectional study

Objective To assess whether post-authorisation studies registered with the European Medicines Agency (EMA) adhere to legislation and recommendations to publicly post study protocols and results.
BMJ Open

Association between maternal age at childbirth and children’s internalising problems in the USA: a cross-sectional mediation analysis of housing instability and family ...

Objectives The optimal maternal age at childbirth has been a topic of bourgeoning literature, with earlier ages offering physiological benefits for maternal recovery. In contrast, later ages to give ...