Search Results - software+%26+algorithms+%3e+statistical+models

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Summary: UCLA researchers have developed a software to accelerate vaccine clinical trial processes by modeling disease behavior and targeting future trial participants. Background: Vaccine clinical trials are time-intensive processes; ones that may be necessary during active pandemics in which time is of short supply. One of the primary factors contributing...

Published: 4/9/2024 | Inventor(s): Akihiro Nishi

Keywords(s): Bioinformatics, Clinical Trial, Live attenuated vaccine, Public Health, Simulation & Modeling, Software & Algorithms, Therapeutics & Vaccines, Vaccines

Category(s): Software & Algorithms > Statistical Models, Software & Algorithms > Bioinformatics

Summary: UCLA researchers have developed a novel method to characterize lung tissue biomechanics and applied it to the creation of a computational model to improve understanding and visualization of lung diseases. Background: Chronic lower respiratory disease (ex. COPD) was the sixth leading cause of death in the United States in 2021, taking nearly...

Published: 3/27/2024 | Inventor(s): Anand Santhanam, Brad Stiehl

Keywords(s): Biomechanics, cardiopulmonary illness, Respiratory & Pulmonary, Simulation & Modeling

Category(s): Software & Algorithms > Statistical Models, Software & Algorithms > Digital Health, Therapeutics > Respiratory And Pulmonary

Summary: UCLA researchers have developed a novel method to characterize lung tissue biomechanics and applied it to the creation of a computational model with which to guide lung elastography. Background: Lung cancer is the leading cause of death from cancer in people in the US. With an increasing focus on improving the patient’s quality of...

Published: 3/27/2024 | Inventor(s): Anand Santhanam, Brad Stiehl

Keywords(s): Biomechanics, cardiopulmonary illness, Respiratory & Pulmonary, Simulation & Modeling

Category(s): Software & Algorithms > Statistical Models, Software & Algorithms > Digital Health, Therapeutics > Respiratory And Pulmonary

Contracted Quantum Eigensolver for Excited States (Quantum Algorithm) (Case No. 2023-180)

Summary: UCLA researchers from the Division of Physical Sciences and Engineering have developed a quantum algorithm that can calculate excited states in quantum computing. Background: Quantum computing operates based on the principle of superposition. While the bits used in classical computing exist in binary (0 or 1), bits in quantum computing...

Published: 4/10/2024 | Inventor(s): Prineha Narang, Scott Smart, Davis Welakuh

Keywords(s):

Category(s): Electrical, Electrical > Quantum Computing, Software & Algorithms, Software & Algorithms > Programs, Software & Algorithms > Statistical Models

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

Real-Time Robust Multivariate Estimator for Dynamic Systems With Heavy-Tailed Additive Uncertainties (Case No. 2023-034)

Summary: UCLA researchers in the Department of Mechanical and Aerospace Engineering have developed an analytic and closed-form multivariate estimator for dynamic systems, which is robust to additive heavy-tailed (impulsive) uncertainties and capable of real-time estimation. Background: The multivariate Gaussian probability density function is commonly...

Published: 12/8/2023 | Inventor(s): Jason Speyer, Moshe Idan, Nathaniel Snyder

Keywords(s): bayesian reasoning, event modeling, graphical processing units, heavy-tailed events, kalman filter, nonlinear dynamics, probability density function, state estimation

Category(s): Software & Algorithms, Software & Algorithms > Data Analytics, Software & Algorithms > Statistical Models