Machine learning can predict patients' responses to antidepressants—while disentangling drug and placebo effects

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
Hospital Healthcare Europe

Machine learning-assisted mapping of VT ablation targets: progress and potential

Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...

Heart computational model can help doctors operate on and treat patients with arrhythmia

Atrial fibrillation is one of the most common kinds of arrhythmia, causing the heart not to contract properly in order to ...
The Lancet

Machine learning to classify the focus score and Sjögren's disease using digitalised salivary gland biopsies: a retrospective cohort study

bCentre for Translational Bioinformatics, William Harvey Research Institute, London, UK cExperimental Medicine and Rheumatology, William Harvey Research Institute, London, UK dSchool of Infection, ...
Healio

Researchers create AI model to predict sepsis in pediatric EDs

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...
IEEE

A Comparative Regression Analysis of House Price Prediction using Machine Learning Models

Abstract: The ability to accurately predict the house price is fundamental within the real estate sector as it provides useful information to potential buyers, sellers, investors, and policymakers.
IEEE

Design and Development of a Heart Attack Prediction Application Using Machine Learning

Abstract: Heart attacks have been a leading cause of mortality around the globe, contributing towards premature deaths. The burden of this disease has been significantly impacted due to the late ...