Robotics & Machine Learning Daily News2024,Issue(Sep.16) :152-153.

Inferring in vivo murine cerebrospinal fluid flow using artificial intelligence velocimetry with moving boundaries and uncertainty quantification

Robotics & Machine Learning Daily News2024,Issue(Sep.16) :152-153.

Inferring in vivo murine cerebrospinal fluid flow using artificial intelligence velocimetry with moving boundaries and uncertainty quantification

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – According to news reporting based on a preprint abstract, our journalists obtained the following quote sourced from bi orxiv.org: “Cerebrospinal fluid (CSF) flow is crucial for clearing metabolic waste from the brain, a process whose dysregulation is linked to neurodegenerative diseases li ke Alzheimer\’s. Traditional approaches like particle tracking velocimetry (PTV) are limited by their reliance on single-plane two-dim ensional measurements, which fail to capture the complex dynamics of CSF flow fully.

Key words

Artificial Intelligence/Emerging Techno logies/Machine Learning/Neuroscience

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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