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

Visakhapatnam: Nearly 15% of Visakhapatnam's hilly terrain has been identified as highly vulnerable to landslides, with risks concentrated in the Kail.

However, inconsistent travel times and unpredictable congestion continue to undermine service reliability, particularly in ...

Read more about AI-powered peptide discovery could transform fight against drug-resistant superbugs on Devdiscourse ...

“Tooth agenesis, a congenital condition characterized by the absence of one or more teeth, is among the most common and ...

Explore how proteomics in biomarker discovery accelerates diagnostic assay development and improves clinical validation.

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

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 ...