It’s time to rethink assessment for learning

For decades, formative assessment has been a silent engine for learning—powering insights about student progress and worker ...
Kaleido Scope

Deep machine-learning speeds assessment of fruit fly heart aging and disease, a model for human disease

Researchers at the University of Alabama at Birmingham now show a way to significantly cut the time needed for that analysis while utilizing more of the heart region, using deep learning and ...
The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
News Medical

Researchers develop machine learning-based tool for assessment of shoulder function

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 ...
News Medical

Machine learning shows promise for coronary artery disease risk assessment

In a recent study published in Scientific Reports, researchers investigated the performance of a machine learning (ML)-based model in evaluating radiomic features to diagnose coronary artery disease ...
TMCnet

Fractal Launches PiEvolve, an Evolutionary Agentic Engine for Autonomous Machine Learning and Scientific Discovery

NEW YORK, Feb. 24, 2026 /PRNewswire/ -- Fractal ( www.fractal.ai ), a publicly listed global enterprise AI company serving Fortune 500® organizations, today announced the launch of PiEvolve, an ...
Science Daily

Deep machine-learning speeds assessment of fruit fly heart aging and disease, a model for human disease

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 ...