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Niranjana Shashikumar on Muck Rack

Niranjana Shashikumar

As seen in: BioRxiv
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Articles

A convolutional neural network estimation of brain age is sensitive to cognitive impairment and decline

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By Aditi Sathe, Kurt Schilling, Niranjana Shashikumar, Yisu Yang
| BioRxiv
Abstract The greatest known risk factor for Alzheimer's disease (AD) is age. While both normal aging and AD pathology involve structural changes in the brain, their trajectories of atrophy are not the same. Recent developments in artificial intelligence have encouraged studies to leverage neuroimaging-derived measures and deep learning approaches to predict brain age, which has shown promise as a sensitive biomarker in diagnosing and monitoring AD.
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Leveraging longitudinal diffusion MRI data to quantify differences in white matter microstructural decline in normal and abnormal aging

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By Derek Archer, Kurt Schilling, Niranjana Shashikumar, Varuna Jasodanand
| BioRxiv
Thank you for your interest in spreading the word about bioRxiv. NOTE: Your email address is requested solely to identify you as the sender of this article. Your Email * Your Name * Send To * Enter multiple addresses on separate lines or separate them with commas. Message Subject (Your Name) has forwarded a page to you from bioRxiv Message Body (Your Name) thought you would like to see this page from the bioRxiv website.
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