Robotics & Machine Learning Daily News2024,Issue(Jan.29) :3-4.

Reports Outline Machine Learning Findings from Jackson Laboratory (A Machine Learning Approach for Quantifying Age-related Histological Changes In the Mouse Kidney)

Robotics & Machine Learning Daily News2024,Issue(Jan.29) :3-4.

Reports Outline Machine Learning Findings from Jackson Laboratory (A Machine Learning Approach for Quantifying Age-related Histological Changes In the Mouse Kidney)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Machine Learning. According to news reportingoriginating from Bar Harbor, Maine, by NewsRx correspondents, research stated, “The ability to quantifyaging-related changes in histological samples is important, as it allows for evaluation of interventionsintended to effect health span. We used a machine learning architecture that can be trained to detect andquantify these changes in the mouse kidney.”Financial supporters for this research include NIH National Institute on Aging (NIA), National Institutesof Health (NIH) - USA.

Key words

Bar Harbor/Maine/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/Jackson Laboratory

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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