AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
IEEE

Unsupervised Feature Selection-Driven Active Learning for Semi-Supervised Automatic ECG Analysis

Abstract: Automatic analysis methods of electrocardiograms (ECGs) usually required large-scale annotated training data, but the annotation process is extremely time-consuming. While semi-supervised ...
Computer Weekly

Glasgow researchers use machine learning to build network digital twin

Researchers at the University of Glasgow have developed a new way to test networks, which they claim is 25,000 times faster than traditional approaches. Shenjia Ding, a research student at the ...
MD&M East

AI-Powered Atrial Fibrillation Detection: How Machine Learning Is Transforming Cardiac Care Through ECG Analysis

At the April 2026 Heart Rhythm Society Annual Meeting in Chicago, panelists gathered to discuss a myriad of topics in the rapidly growing cardiovascular care space. Song Zuo, MD, a specialist at the ...
Business Wire

Anumana Receives First and Only FDA Clearance for ECG-AI Cardiac Amyloidosis Algorithm Using a Standard 12-Lead ECG

CAMBRIDGE, Mass.--(BUSINESS WIRE)--Anumana, Inc., a leader in cardiovascular AI, today announced U.S. Food and Drug Administration (FDA) clearance of its ECG-AI™ algorithm for cardiac amyloidosis (CA) ...
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 ...
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 ...
Nature

Comparative evaluation of deep learning models for cardiovascular disease diagnosis and classification

Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, highlighting the need for accurate and computationally efficient diagnostic tools. Electrocardiography (ECG) is widely ...
Game Rant

How to Get & Use Dowsing Machine in Pokopia

Chris is a writer and editor with over 10 years of experience covering games and has a bachelor's degree in History from the University of Central Lancashire. He's mainly focused on guides, but has ...
The New York Times

More Than Half of Teens Use Chatbots for Schoolwork, Survey Finds

A new study from the Pew Research Center finds teenagers think chatbot-assisted cheating has become “a regular feature of student life.” A new study from the Pew Research Center finds teenagers think ...
Medical Xpress

AI model detects prediabetes using ECG data without need for blood tests

DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either 12-lead or single-lead electrocardiogram (ECG) data, has been developed. This ...
Nature

Context matters in machine learning based disease prediction with insights from diverse clinical and symptom data

21 May 2026 Editor's Note: The Editorial team is currently investigating questions raised about the data presented in the article. We will update readers once we have further information and all ...