Pontificating about the Oscars’ runners and riders is a tradition as old as the ceremony itself. Critics examine the ...
A machine learning-driven framework accurately predicts MPA exposure and supports individualized dosing in childhood-onset LN.
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Read more about AI and machine learning drive digital transformation across global mining operations on Devdiscourse ...
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 ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...
The evidence is solid but not definitive, as the conclusions rely on the absence of changes in spatial breadth and would benefit from clearer statistical justification and a more cautious ...
RMIT University food scientist Professor Raj Eri said dietary fibres in fruit, vegetables, beans and whole grains were some of the most important food components for health. However, he said clear ...
Australian food scientists are working to reclassify dietary fibre to achieve specific health benefits Shift could benefit Health Food Symmetry, which has developed what it describes as a ...
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