New study shows how AI could transform drug prescriptions for heart diseases

The researchers say the technology could eventually support more personalised care, allowing treatments to be better matched ...

Cardiovascular risk score identifies risk for ocular disease

The Pooled Cohort Equations (PCE) cardiovascular risk score stratifies risk for multiple ocular diseases, according to a ...
AZoRobotics on MSN

AI can design heart disease treatments using imaging and biological data

CardioKG could enhance drug discovery for heart disease by integrating imaging data and biological information, improving ...

AI-powered knowledge graph links heart images to genes and drug predictions

Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already ...
BMJ

Heart murmurs in the general population: diagnostic value and prevalence from the Tromsø Study

Background Heart auscultation is a widely used and cost-effective clinical tool for detecting valvular heart disease (VHD), particularly in primary care. However, existing evidence on its diagnostic ...
IEEE

Comparative of SVM and Decision Tree Techniques for Predicting Hydroponic Tomato Growth and Yield Using Deep Water Culture

Abstract: The purpose of this research is to evaluate the effectiveness of SVM and Decision Tree techniques in the context of hydroponic tomato cultivation using the Deep Water Culture (DWC) method.
IEEE

Heart Disease Prediction System using Ensemble Machine Learning Technique

Abstract: The traditional approach to prediction of heart disease using a limited set of essential physical signs from repetitive inspections is inadequate. Also, manual inspection and analysis of ...