StudyFinds on MSN

AI disease prediction may catch illnesses before symptoms even start

In A Nutshell AI tools that track how the body’s molecular networks change over time may detect diseases like cancer, ...
News-Medical.Net

Dynamic AI models detect body tipping points to forecast disease before symptoms

The editorial, "Dynamics-driven medical big data mining: dynamic approaches to early disease forecasting and individualized care," published in Intelligent Medicine (February 2026, Volume 6, Issue 1), ...
IEEE

Integrating Machine Learning Ensembles and Large Language Models for Heart Disease Prediction Using Voting Fusion

Abstract: Cardiovascular disease is the primary cause of death globally, necessitating early identification, precise risk classification, and dependable decision-support technologies. The advent of ...
iaea.org

New IAEA Research Project Uses Machine Learning to Better Predict Polymer Changes under Radiation

Azillah Binti Othman, IAEA Department of Nuclear Sciences and Applications Ayhan Evrensel, IAEA Department of Nuclear Sciences and Applications The IAEA is inviting research organizations to join a ...
IEEE

An Outcome Based Analysis on Heart Disease Prediction using Machine Learning Algorithms and Data Mining Approaches

Abstract: We have analyzed the World Health Organization report and found that over 17 million people have died of heart attacks in the last few decades. The diagnosis of heart-related disease and ...
ahajournals.org

Development and Validation of a Machine Learning Model for Incident Heart Failure Prediction in Chronic Kidney Disease: A Multicenter Cohort Study

Chronic kidney disease (CKD) and heart failure (HF) share pathophysiological mechanisms, rendering HF one of the most burdensome cardiovascular complication in CKD. Current HF prediction models, ...
techtimes

AI Cyberattacks Rising: How Hackers Use Machine Learning to Launch Smarter Attacks

AI cyberattacks are rapidly transforming the cybersecurity landscape, enabling attackers to automate and scale operations with unprecedented speed. Through machine learning hacking, adversaries can ...