Artificial intelligence (AI), using a simple blood test combined with standard brain images has, for the first time, been ...

A groundbreaking digital tool, TB SeWA, developed in Tamil Nadu, has significantly reduced TB deaths by predicting patient ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Abstract: The traditional approach to prediction of heart disease using a limited set of essential physical signs from repetitive inspections is inadequate. Also, manual inspection and analysis of ...

The SEC earlier this year dropped its appeal against Ripple, a fintech company that uses XRP to facilitate fast and cheap cross-border transactions. Ripple CEO Brad Garlinghouse estimates that the XRP ...

Multiple Disease Prediction System using Machine Learning. Predicts Parkinson's, Heart Disease, and Diabetes via a web interface powered by Logistic Regression, SVM, KNN, and Stacking Ensemble.

The first College Football Playoff Rankings are out and currently, Texas Football is on the outside looking in. In fact, the Longhorns are officially listed as "first team out" by the CFP committee.

1 Department of Computer Science, National University of Modern Languages (NUML), Islamabad, Pakistan 2 Department of AI and SW, Gachon University, Seongnam, Republic of Korea Cardiovascular diseases ...

Please provide your email address to receive an email when new articles are posted on . Machine learning can use patient-reported outcomes to identify low disease activity in rheumatoid arthritis.

Pre-med students in a Biology course measure urban air quality in collaboration with citizen-scientists from the local community; students in a 300-level Business seminar design improvements to a ...

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 ...