Pharmacy professor develops AI model to predict hospitalization of at-risk cardiac patients

When Arinze Nkemdirim Okere, PharmD, MBA, worked as the pharmacist for a hospital in Tallahassee, Florida, he noticed that ...
The Daily Pennsylvanian

From data analysis to pattern recognition: Here’s how Penn Medicine is using artificial intelligence

Across the University’s Health System, scientists are now using AI to enhance their understanding of biological systems and ...

Machine learning identifies factors that may determine the age of onset of Huntington's disease

A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...
News-Medical.Net

Using AI to understand the age of disease onset in Huntington's patients

A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona (UBneuro) has applied advanced artificial intelligence techniques to better ...
BMJ Open

Cardiovascular disease risk perception and stages of preventive behaviours: a community survey in Pokhara Metropolitan, Nepal

Objectives Cardiovascular diseases (CVDs) are a leading cause of mortality in Nepal. Risk perception is crucial for the prevention of CVD-related behaviours. This study assessed CVD risk perceptions ...
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, ...
IEEE

Heart Disease Prediction Using Machine Learning

Abstract: In old times, we have seen that prediction of heart disease is very complicated and difficult task. At this, one man or one woman dies every minute due to hear disease. Generation of data is ...
IEEE

Designing of Heart Disease Prediction Model Using Machine Learning Algorithm

Abstract: Heart disease remains one of the leading causes of death worldwide. Effective management and prevention heavily depend on early detection and accurate prediction. However, traditional ...