Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.

Machine learning model improves transplant risk assessment for patients with myelofibrosis, helping clinicians make informed decisions, as per an expert. A new machine learning model has significantly ...

In a recent study published in Scientific Reports, researchers showed that a simple string-pulling task could help make a reliable assessment of shoulder mobility across animals and humans. Across ...

Researchers used advanced machine learning to increase the accuracy of a national cardiovascular risk calculator while preserving its interpretability and original risk associations. Risk calculators ...

A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...

Facial paralysis, a condition characterised by impaired facial muscle movement, presents significant challenges both diagnostically and therapeutically. Recent advances in machine learning have ...

Drosophila -- known as fruit flies -- are a valuable model for human heart pathophysiology, including cardiac aging and cardiomyopathy. However, a choke point in evaluating fruit fly hearts is the ...

My company, Kickfurther, has carved out a niche by connecting businesses in need of funding for their retail inventory with buyers of that inventory. A key component of this business model is the ...

This map depicts the predicted types of soil in Tokyo with an unprecedented level of detail. Such maps are essential for urban planning and earthquake risk assessment, as they reveal areas that are ...