Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
24/7 Wall St

XRP Social Sentiment Hits “Extreme Negativity”—A Historical Setup for a Reversal?

XRP sentiment hits extreme fear at 24 while institutional ETFs accumulated $424M in December alone, and $1.3 billion in 50 days. Machine learning models achieve 70-91% accuracy predicting crypto moves ...
Medical Xpress

A urine-based biological aging clock: Machine learning and microRNA offer accurate prediction

Urine-based aging clocks In the study, " A urinary microRNA aging clock accurately predicts biological age," published in npj Aging, researchers used machine learning to develop and validate a urinary ...
EurekAlert!

New model makes machine learning potentials more accurate and more accessible

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...
Scientific Research Publishing

Performance of Different Machine Learning Algorithms for Credit Risk Classification ()

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...
C&EN

Transferable and Transparent Energy Decomposition-Based Machine Learning Models for Computing Accurate Reaction Energetics

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. We present a transferable, interpretable, and modular machine-learning framework that ...
Business Wire

HeartBeam’s Deep Learning Algorithms Demonstrate High Rates of Accuracy for Detecting Arrhythmias

New study presented at HRX Live 2025 demonstrates continued advancement of company’s AI program HeartBeam's AI algorithm performed equally well on HeartBeam 3D ECG system and standard 12L ECGs in ...
IEEE

Enhanced Feature Selection Technique Using Machine Learning Algorithm for Accurate Heart Disease Classification

Abstract: Heart disease classification and prediction from ECG signals have become extremely relevant in the recent past. Useful to both patients and doctors, this project involves the creation of a ...
EurekAlert!

Neuromorphic devices and machine learning combine to make brain-like devices possible

As modern manufacturing increasingly relies on artificial intelligence (AI), automation, and real-time data processing, the need for faster and more energy-efficient computing systems has never been ...
news.bloomberglaw

Navigating a Patent Gap for AI and Machine Learning Algorithms

Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...
C&EN

Integrating Machine Learning for Accurate Pore Pressure Prediction in Fault Conglomerate Formation of Junggar Basin

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. In the quest for energy security and sustainability, the role ...