Robotics & Machine Learning Daily News2024,Issue(MAY.20) :34-35.

University of Toronto Reports Findings in Peripheral Artery Disease (Development and evaluation of a prediction model for peripheral artery disease-related majo r adverse limb events using novel biomarker data)

Robotics & Machine Learning Daily News2024,Issue(MAY.20) :34-35.

University of Toronto Reports Findings in Peripheral Artery Disease (Development and evaluation of a prediction model for peripheral artery disease-related majo r adverse limb events using novel biomarker data)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Cardiovascular Disease s and Conditions - Peripheral Artery Disease is the subject of a report. Accordi ng to news reporting originating in Toronto, Canada, by NewsRx journalists, rese arch stated, “Prognostic tools for individuals with peripheral artery disease (P AD) remain limited. We developed prediction models for 3-year PAD-related major adverse limb events (MALE) using demographic, clinical, and biomarker data previ ously validated by our group.”

Key words

Toronto/Canada/North and Central Ameri ca/Angiology/Biomarkers/Cardiovascular Diseases and Conditions/Cyborgs/Diag nostics and Screening/Emerging Technologies/Health and Medicine/Hematology/M achine Learning/Peripheral Artery Disease

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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