An AI tool, created by researchers at Johns Hopkins and Duke universities, could revolutionize how public health officials ...

The study emphasizes that one of the most significant contributions of AI to plant science lies in rapid, image-based disease ...

A novel machine learning model enhances colorectal cancer (CRC) prognosis and immunotherapy response prediction by ...

People living with HIV who have taken highly active antiretroviral therapy can have hyperlipidemia predicted in advance by ...

57 We minimized these biases by conducting our study in a single-payer health care system and using validated disease ... prediction models, and including data on IBD treatment regimes. We ...

researchers discuss the development of an automated system using machine learning (ML) algorithms that can quantify motor symptoms in Parkinson's disease (PD) and predict disease progression.

Using training data, the ML-HDPM model predicted cardiovascular disease with 96% accuracy and 95% precision. The ... and machine learning to improve cardiovascular disease prediction.

The RF model was used for which regression forests are an ensemble of different regression trees and are used for nonlinear multiple regression. RF is a commonly used machine learning ... measurable ...

This paper proposes a novel “Multiple-disease Prediction System” for the early-stage prediction of Heart Diseases, Parkinson's Disease, Breast Cancer, and Diabetes using efficient Machine Learning ...

Abstract: There are many existing machine learning models ... detecting only one disease. Therefore, this study has developed a system to forecast several diseases by using a single user interface.