Science Daily

A little-known health syndrome may affect nearly everyone

Most U.S. adults have risk factors tied to a little-known condition called CKM syndrome, which connects heart disease, kidney ...
IEEE

SVM Hyperparameter Tuning Using Grey Wolf Optimizer for Heart Disease Prediction

Abstract: This study introduces an advanced method for enhancing the accuracy of heart disease prediction through machine learning techniques, specifically by optimizing the hy-perparameters of a ...
Science Daily

Stanford’s AI spots hidden disease warnings that show up while you sleep

Stanford researchers have developed an AI that can predict future disease risk using data from just one night of sleep. The ...

Targeting the immune system could prevent future heart attacks, clinical trial suggests

Cambridge researchers have discovered that an existing therapy which boosts protective immune cells in people who recently ...

Health Rounds: AI uses sleep study data to accurately predict dozens of health issues

Artificial intelligence can use brain recordings from a single night in a sleep lab to predict a person's risk of developing ...
Becker's Hospital Review

Stanford AI model forecasts disease risk years in advance

Researchers at Palo Alto, Calif.,-based Stanford Medicine have developed an AI model capable of predicting an individual’s risk of developing more than 100 health conditions using sleep study data.
IEEE

Enhanced Rice Leaf Diseases Diagnosis Using Deep Learning Model with GAN-Based Synthetic Data Augmentation

Abstract: Rice is a widely cultivated crop and a crucial staple food in many South Asian nations. Diseases that affect rice leaves can significantly decrease crop yields, but early identification can ...