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A Process for Identifying Health Modifying Interventions Through Epigenetic Prediction (Case No. 2023-107)

Summary: UCLA researchers in the Department of Neurology have developed a novel method that leverages epigenetic markers to identify recommended and necessary health interventions. Background: Disease risk prediction and intervention involves identifying individuals or populations with a higher likelihood of developing a particular condition based...

Published: 3/22/2024 | Inventor(s): Noah Zaitlen, Eran Halperin, Elior Rahmani, Michael Thompson, Zeyuan (Johnson) Chen

Keywords(s): Clinical decision support system, clinical outcome, Clinical Trial, disease outcome, Epigenetics, health risk assessment, outcome probability, patient outcome, prognostic, Public Health, public health monitoring, Risk Assessment, risk reduction, risk score, Simulation & Modeling, statistical modeling, treatment efficacy

Category(s): Software & Algorithms, Software & Algorithms > Data Analytics, Software & Algorithms > Digital Health, Software & Algorithms > Statistical Models, Medical Devices, Medical Devices > Monitoring And Recording Systems

2020-862 Early Prediction of Mechanical Ventilation Need in COVID-19 Patients Using Clinician-Constrained Decision Trees

SUMMARYUCLA researchers in the Department of Computer Science have developed a tree model with machine learning to determine the need for mechanical ventilators, which is important during a shortage of mechanical ventilators in a hospital.BACKGROUNDMechanical ventilation is used to help a patient breath when they find it difficult to breathe on their...

Published: 7/19/2023 | Inventor(s): Elior Rahmani, Brian Hill, Zeyuan (Johnson) Chen, Eran Halperin, Vladimir Manuel

Keywords(s):

Category(s): Software & Algorithms > Programs