Healio

Electronic health record-based machine learning models improve OSA prediction

Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

Mouse model supports long-held belief that viruses can trigger Parkinson's disease

Scientists usually use animal models when studying Parkinson's disease because these models mimic the disease well. They are ...
Thorax

Performance of multivariable risk prediction algorithms in predicting COPD exacerbations: a population-based study

Introduction Efficient preventive management of acute exacerbation of chronic obstructive pulmonary disease (COPD) is ...
IEEE

Detection of Cardiovascular Diseases in ECG Images Using Machine Learning and Deep Learning Methods

Abstract: Cardiovascular diseases (heart diseases) are the leading cause of death worldwide. The earlier they can be predicted and classified; the more lives can be saved. Electrocardiogram (ECG) is a ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...

AI deciphers how fast ALS progresses and which functions decline first

ALS (amyotrophic lateral sclerosis) is a fatal neurodegenerative disease that gradually affects a person's ability to move, speak and breathe. It advances differently in every patient. Now, ...
Phys.org

Autonomous AI screening flags unreliable Lyme test results, boosting sensitivity to 95.7%

Computational point-of-care sensors can significantly improve access to diagnostics by enabling rapid patient testing outside centralized medical facilities. These tests rely on machine learning ...
IEEE

MedAi: A Smartwatch-Based Application Framework for the Prediction of Common Diseases Using Machine Learning

Abstract: Health information technology is one of today’s fastest-growing and most powerful technologies. This technology is used predominantly for predicting illness and obtaining medications quickly ...
Phys.org

AI drug target platform pairs prediction with benchmarking to improve early discovery

Insilico Medicine, a clinical-stage biotechnology company powered by generative artificial intelligence (AI), today announced advancements to its unified AI framework for drug target discovery, ...
Medical Xpress

A machine learning model may enable liver cancer risk prediction with routine clinical information

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...
pharmaphorum

AI predicts liver cancer risk with "high accuracy"

A machine learning (ML) tool that analyses electronic health record data, test results, and patient demographics can help clinicians identify people at high risk of hepatocellular carcinoma (HCC), the ...
Psychology Today

AI Foundation Model Predicts Diseases From Brain Scans

The human brain is complex. Artificial intelligence (AI) machine learning and medical imaging data are accelerating breakthroughs in brain health, especially in medical diagnostics. A peer-reviewed ...