Respiratory diseases continue to represent a major global health burden, ranking among the leading causes of morbidity and mortality. They encompass a wide ...

Objective: This study aimed to identify critical time points in SA-AKI progression development and validate dynamic, stratified machine learning prediction models for moderate-to-severe (Kidney ...

Cancer immunotherapy drugs known as immune checkpoint inhibitors (ICIs) can be miracle drugs for cancer patients, curing some and turning deadly disease into a manageable chronic condition in others.

A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

Scientists at Scripps Research have been awarded two grants totalling $2 million to scale up global infectious disease tracking ...

The initial College Football Playoff Top 25 rankings of the 2025 season were unveiled this past Tuesday night, providing fans and media members alike an introduction to how the 12-member selection ...

Abstract: The paper examines how Hybrid Machine Learning and Real-Time Data Integration can be used to optimize the construction project schedule using the Google Cloud AI Platform. By using the ...

Platforms like Kalshi let millions wager on sports and pop culture. They’re now hoping institutions will use them for big-ticket trading like hedging. By Michael J. de la Merced Most people use ...

Discover three innovative DIY projects you can build at home using common household items. Learn how to construct a mini water pump with a DC motor and simple materials, create a basic electric motor ...

Abstract: Heart disease remains a leading cause of mortality worldwide, necessitating early and accurate detection to improve patient outcomes. This paper presents a Heart Disease Prediction System ...