Researchers develop new 'emotionally aware' model for classifying mental health conditions

Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...
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 ...
Harvard Business Review

The Strongest Teams of AI Agents Will Be Built Using Different Models

Agentic AI is so prevalent that some business leaders now count AI agents as part of their regular workforce. Yet, without ...

ECG privacy model shields age, sex and race while preserving heart risk signals

It is a common misperception that electrocardiograms (ECGs) simply contain data about heart activity. However, modern ECGs ...
Frontiers

A machine learning-based classification model for interstitial lung disease in rheumatoid arthritis

This study aimed to develop and validate a preliminary classification and diagnostic model for rheumatoid arthritis-associated interstitial lung disease (RA-ILD) using routine, readily available ...
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 ...
eSchool News

Gender-specific education: Examining boys’ educational needs and learning strategies

In recent years, educational research has sparked significant discussion about whether boys and girls learn differently and if gender-specific teaching strategies could enhance academic outcomes. This ...
BMJ

Development of an interpretable machine learning model for frailty risk prediction in older adult care institutions: a mixed-methods, cross-sectional study in China

Objective To develop and validate an interpretable machine learning (ML)-based frailty risk prediction model that combines real-time health data with validated scale assessments for enhanced ...
chromatographyonline

Optimizing HSSE-GC-MS and Machine Learning for Forensic Gender Classification from Human Scent

Researchers have optimized a headspace sorptive extraction (HSSE) method coupled with gas chromatography-mass spectrometry (GC-MS) to analyze human scent traces left on clothing. By extracting ...
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 ...
Scientific Research Publishing

Buolamwini, J., & Gebru, T. (2018). Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification. Proceedings of Machine Learning Research, 81, 77-91.

ABSTRACT: The ubiquitous use of biometric technology in contemporary society, from unlocking smartphones to enforcing border control and law, has raised concerns regarding its impact on minority ...
The New York Times

Employment Commission Says Agencies Can Restrict Bathroom Use by Sex

The ruling extends the Equal Employment Opportunity Commission’s intervention on President Trump’s gender and race priorities. By Rebecca Davis O’Brien The Equal Employment Opportunity Commission said ...