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Phenotyping Single Ventricle Physiology Using Electronic Health Records (Case Nos. 2025-322 and 2025-323)
Summary: UCLA researchers have created a cutting-edge, automated phenotyping tool that harnesses electronic health records to enable rapid and precise identification of single ventricle physiology (SVP), especially in neonatal and pediatric populations. Background: Single ventricle physiology (SVP) is a rare heart condition that develops before birth...
Published: 12/18/2025
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Inventor(s):
Kim-Lien Nguyen
,
William Hsu
,
Hang Xu
Keywords(s):
Algorithm
,
cardiac cycle
,
Cardiovascular
,
Cardiovascular Disease
,
cardiovascular diseases
,
cardiovascular monitoring
,
cardiovascular prediction
,
Computer-Aided Diagnosis
,
heart disease mitigation
,
heart support
,
medical automation technology
,
Medical Device
,
medical device cardiac monitoring
,
Medical diagnostics
,
Medical Guideline
,
non-invasive cardiac monitoring
,
Smart medical device
,
Software
,
Software & Algorithms
,
Software Development Tools
Category(s):
Diagnostic Markers
,
Medical Devices
,
Medical Devices > Cardiac
,
Medical Devices > Monitoring And Recording Systems