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

Craif Inc. in Nagoya, Japan, working with Nagoya University's Institute of Innovation for Future Society, has developed a ...
Medscape

Cannabis Use Not Tied to ECG Changes in HIV-Positive Population

Cannabis use showed no significant association with ECG abnormalities in people with HIV infection, although women had higher odds of abnormal ECG findings than men. Men with HIV infection had higher ...
IEEE

An ECG Data Feature Selection Comparison: Machine Learning and Expert Doctors

The ECG signals analysis is a frequently used approach for classification of cardiac patients. Traditionally, this analysis is made by expert doctors. However, recently, it is increasingly supported ...
PC Gamer

Arc Raiders' use of AI highlights the tension and confusion over where machine learning ends and generative AI begins

Like Embark Studios' 2023 shooter The Finals, its new game Arc Raiders, out today, comes bearing an "AI generated content disclosure" on its Steam page. "During the development process, we may use ...
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
Digital Trends

Perplexity AI turns into tutor with new language learning feature

What’s happened? Perplexity AI just dropped a new language learning feature built right into its platform. In a post shared on social media, the company announced a tool that helps users learn by ...
TechCrunch

Google is experimenting with machine learning-powered age-estimation tech in the US

Google is testing a machine learning-powered tech in the U.S. to determine the age of users and filter content across all its products accordingly. The company said it will consider data from Google ...
Live Science

Scientists use quantum machine learning to create semiconductors for the first time – and it could transform how chips are made

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing. When you purchase through ...
Frontiers

Enhancing sleep stage classification with ballistocardiogram signals: feature selection using attention mechanism and XGBoost

1 School of Information Engineering, Huzhou University, Huzhou, China 2 Key Laboratory of Artificial Organs, Computational Medicine in Zhejiang Province, College of Information Science and Technology, ...
Frontiers

Advanced ECG feature extraction and SVM classification for predicting defibrillation success in OHCA

Out-of-hospital cardiac arrest (OHCA) represents a critical challenge for emergency medical services, with the necessity for rapid and accurate prediction of defibrillation outcomes to enhance patient ...
IEEE

FSHOADC - Feature Selection and Hyperparameter Optimization Based Arrhythmia Detection and Classification: A Machine Learning Approach for Arrhythmia Detection using ECG Signals

Abstract: One essential and often used tool for the diagnosis of cardiovascular disorders is the electrocardiogram (ECG). With the emergence of artificial intelligence (AI), it is possible to have ...