Researchers have developed LifeClock, an AI-driven biological clock trained on over 24 million electronic health records to ...
Researchers from the University of South Florida have used artificial intelligence and citizen science to identify what may ...
Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...
Abstract: This innovative research uses datasets from Kaggle to leverage Machine Learning (ML) techniques to develop a complete unified disease prediction system. With its comprehensive coverage of ...
The authors have declared no conflicts of interest. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. The work was supported ...
Background: Chronic Coronary Disease (CCD) is a leading global cause of morbidity and mortality. Existing Pre-test Probability (PTP) models mainly rely on in-hospital data and clinician judgment. This ...
10 The George Institute for Global Health, School of Public Health, Imperial College London, London, UK Background Cardiovascular risk is underassessed in women. Many women undergo screening ...
This project aims to predict the presence of heart disease based on patient data using machine learning. The dataset includes various medical attributes such as age, sex, cholesterol levels, blood ...
FIU Researchers are training AI to detect heart conditions, like aortic stenosis and heart failure, by analyzing heart sound data to improve early diagnosis and risk prediction. The future of heart ...
Welcome to the MAGIC Gamma Telescope project! 🌌 The mission is to classify gamma rays and hadrons in astrophysics using machine learning techniques like Logistic Regression, Decision Tree, Random ...
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