Pancreatic cancer rarely announces itself early. It often grows in deep tissue, causes vague symptoms, and reaches medical ...

hailand deploys wearables for home monitoring, builds national data platforms for seamless sharing, and teams up with partners ...

A machine learning model predicts low-density lipoprotein cholesterol from routine lab data, offering a low-cost way to ...

Abstract: Diabetes mellitus is a chronic condition that continues to rise globally, with Type 2 diabetes being the most prevalent form. Early detection and prediction of diabetes risk are crucial to ...

This paper proposes a hybrid machine learning framework for early diabetes prediction tailored to Sierra Leone, where locally representative datasets are scarce. The framework integrates Random Forest ...

Nocturnal hypoglycemia (NH) is a common adverse event in elderly patients with type 2 diabetes (T2D). This study aims to develop a clinically applicable model for predicting the risk of NH in elderly ...

This project is an AI-powered web application that predicts Parkinson’s Disease (PD) using voice samples and/or MRI brain images. It leverages machine learning and deep learning models to analyze ...

Gestational diabetes mellitus (GDM), a prevalent metabolic disorder associated with pregnancy, which often postpones intervention until after metabolic complications have developed. This study seeks ...