In a landmark discovery that bridges nearly a century of theoretical physics, a Chinese research team has successfully ...

Some kids plan to kill. Can we discover who they are before they do? A program that combines neural and clinical data via ...

The landscape of emergency management is continually evolving, and the ability to predict and respond to airborne hazards in ...

An interatomic potential is a set of mathematical rules that describes the complex dance of forces between atoms — how atomic ...

Objective: This study compared a conventional logistic regression model with machine learning (ML) models using demographic and clinical data to predict outcomes at 2 and 6 months of treatment for MDR ...

A NEW scoping review suggests that machine learning models may help predict treatment response to biologic and targeted synthetic disease-modifying antirheumatic drugs in rheumatoid arthritis, ...

Abstract: Smog is a pressing environmental and public health challenge in Pakistan, particularly in the Punjab province, where rapid urbanization, industrial emissions, and vehicular pollution ...

n this study, 773 untreated breast cancer patients from all over China were collected and followed up for at least 5 years. We obtained clinical data from 773 cases, RNA sequencing data from 752 cases ...

Student dropout in primary education is a critical global challenge with significant long-term societal and individual consequences. Early identification of at-risk students is a crucial first step ...

AI Steam updates AI disclosure form to specify that it's focused on AI-generated content that is 'consumed by players,' not efficiency tools used behind the scenes AI Stellar Blade's director says AI ...

Objective: This study aims to develop an explainable machine learning model, incorporating stacking techniques, to predict the occurrence of liver injury in patients with sepsis and provide decision ...