Neuroscience

$2.3M NIH Award to Support AI-Driven Brain Imaging Research

November 2, 2023 - Researchers from Indiana University have been awarded $2.3 million from the National Institutes of Health (NIH) to support the development of open-source, artificial intelligence (AI)-driven tools for brain imaging research. The award is part of the NIH Brain Research through Advancing Innovative Neurotechnologies (BRAIN) 2.0 Initiative, an effort...

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Mount Sinai Develops AI Algorithm to Estimate Brain Age Acceleration

by Shania Kennedy

Researchers at Mount Sinai have developed an artificial intelligence (AI) tool that can estimate histopathological brain age, predict age at death, and identify areas of the brain vulnerable to...

Personalized Computational Approach Identifies Four Alzheimer’s Subtypes

by Shania Kennedy

Researchers presenting at this year’s Society of Nuclear Medicine and Molecular Imaging (SNMMI) Annual Meeting demonstrated that a computational model can accurately identify four subtypes of...

AI Tool Assists in Diagnosing Subtle Brain Damage in Athletes

by Mark Melchionna

Published in The Neuroradiology Journal, a new study from the Department of Radiology at NYU Grossman School of Medicine indicates that an artificial intelligence (AI) tool could leverage MRI results...

Columbia University Receives $20M Grant to Establish AI, Neuroscience Institute

by Shania Kennedy

Columbia University has been awarded $20 million from the National Science Foundation (NSF) to establish and lead the AI Institute for ARtificial and Natural Intelligence (ARNI), and interdisciplinary...

AI ‘Brain Decoder’ System Translates Human Brain Activity

by Shania Kennedy

Researchers from The University of Texas at Austin (UT Austin) have developed an artificial intelligence (AI) system that is capable of translating a person’s brain activity into a continuous...

Machine Learning Identifies Four Autism Subtypes

by Shania Kennedy

Researchers at Well Cornell Medicine have identified four subtypes of autism spectrum disorder (ASD) linked to distinct molecular pathways in the brain using machine learning (ML).  The findings...

Machine-Learning Models Can Predict Sepsis-Related Mortality

by Shania Kennedy

A new study published in BMC Medical Research Methodology highlights how researchers developed and trained machine-learning (ML) models that can accurately predict 30-day mortality in patients with...

AI Framework Differentiates Alzheimer’s, Other Dementias

by Shania Kennedy

A study published in Nature Communications outlines a newly-developed artificial intelligence (AI) framework that can successfully identify and differentiate between normal cognition (NC), mild...

UPMC, Pitt Develop Machine Learning Model to Predict Brain Injury Outcomes

by Shania Kennedy

According to researchers from UPMC and the University of Pittsburgh School of Medicine, advanced machine learning can be used to predict outcomes in patients with severe traumatic brain injuries...

Mount Sinai Spin-Off Develops AI Tool to Detect Early-Stage Parkinson’s

by Shania Kennedy

Cancer risk stratification company PreciseDx, a Mount Sinai Health System spin-off, has developed artificial intelligence-enabled digital pathology technology to detect Parkinson’s disease (PD),...

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