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 ...

A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

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

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 ...

Often called "the window to the soul," the eyes may also offer clues about something less poetic but just as important: the health of the brain. A new study of tens of thousands of patients has ...

Abstract: According to the WHO, Cancer is a prominent cause of mortality worldwide, accounting for ~10 million fatalities at the end of 2020. The most common types of cancers include Lung, Breast, CNS ...

Nagoya University scientists develop a machine learning tool to uncover how ALS progresses in patients and offer clues to ...

Objective To systematically review and critically evaluate prediction models developed to predict tuberculosis (TB) treatment outcomes among adults with pulmonary TB. Design Systematic review. Data ...

Summary: A new study that used artificial intelligence to analyze routine eye photographs has unlocked a cheap, non-invasive method for predicting major Alzheimer’s disease risk factors decades before ...

A quantum-inspired AI approach can analyze millions of molecular features from small datasets, improving predictions, ...