An artificial intelligence (AI) model developed by Mayo Clinic and Ultromics, Ltd., an AI echocardiography company based in ...

Doctors have long called hypertrophic cardiomyopathy (HCM) “the great masquerader. ” It hides in plain sight, often mistaken ...

This paper presents a smartwatch-based prediction system named ‘MedAi’ for multiple diseases such as ischemic heart disease, hypertension, respiratory disease, hyperthyroidism, hypothyroidism, stroke, ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data.

Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve researchers' ability to detect complex genetic alterations in cancer ...

Typical Azure Machine Learning Project Lifecycle (source: Microsoft). At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will ...

ABSTRACT: Heart disease continues to be a major global cause of death, making the development of reliable prediction models necessary to enable early detection and treatment. Using machine learning to ...

Researchers from New York City-based Mount Sinai have developed an AI algorithm to help physicians identify patients with hypertrophic cardiomyopathy by assigning a numeric probability risk ...

By merging intuitive machine learning algorithms. For heart disease prediction using logistic regression model exhibited 81.96% accuracy, while SVM system for diabetes and Parkinson's disease ...

This consists of 15 biochemical tests, including serum phosphate. Our aim was to understand if abnormalities in serum phosphate could be predicted, using a machine learning algorithm (MLA) by other ...

Finding relationships between bio-signals and health outcomes is complicated for many reasons, including sorting out irrelevant data.