The Lancet

A predictive atlas of disease onset from retinal fundus photographs: a modelling study using data from population-based cohorts

We present one of the first comprehensive evaluations of predictive information derived from retinal fundus photographs, illustrating the potential and limitations of readily accessible and low-cost ...
Medical Xpress

AI models improve prediction of chronic kidney disease progression to end stage renal disease

Chronic kidney disease (CKD) is a complex condition marked by a gradual decline in kidney function, which can ultimately progress to end-stage renal disease (ESRD). Globally, the prevalence of CKD ...
Frontiers

Trustworthy AI for Medical Imaging: Advanced Modeling and Clinical Prediction

Medical imaging is a process of visualizing the tissues, organs and structure of the human body to diagnose, monitor, and treat medical conditions. It plays ...
News Medical

Using AI models to improve prediction of CKD's progression to end-stage renal disease

Chronic kidney disease (CKD) is a complex condition marked by a gradual decline in kidney function, which can ultimately progress to end-stage renal disease (ESRD). Globally, the prevalence of the CKD ...
Pulmonology Advisor

Machine Learning Accurately Predicts IEI in Children With Low IgE

Machine learning algorithms may accurately predict inborn errors of immunity (IEI) in children with persistently low serum IgE.
Rochester Institute of Technology

RIT researchers use machine learning to better understand the pathways of disease

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...
News Medical

AI trained on sleep data predicts future disease and mortality years in advance

Study: A multimodal sleep foundation model for disease prediction. Image credit: AnnaStills/Shutterstock.com In a recent study published in Nature Medicine, researchers developed a multimodal sleep ...

Machine learning can predict preeclampsia by week 34 of pregnancy

A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy. Preeclampsia is a sudden ...
Scientific Research Publishing

A Multimodal Machine-Learning Framework for Predicting Lithium-Associated Renal Dysfunction from Synthetic Biomarker Trajectories ()

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant risk of progressive renal impairment in a subset of patients. Early ...