Search Results - elior+rahmani

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Electrically Gated Solid-State Molecular Thermal Transistor (Case No. 2024-099)

Summary: UCLA researchers have introduced a solid-state thermal transistor that achieves groundbreaking performance and facilitates improved heat flow manipulation. Background: The forefront of thermal management is marked by the exploration of molecular thermal transistors, driven by the quest for more efficient electronic devices. Researchers are...

Published: 10/23/2024 | Inventor(s): Yongjie Hu, Paul Weiss, Man Li

Keywords(s): ; self-assembled molecule, Composite Material, Doping (Semiconductor), Elastic Modulus Thermal Grease, Electronics & Semiconductors, field-effect transistors (FETs), Functional Materials, heat control, heat controlling devices, infrared thermal imaging, Microelectronics Semiconductor Device Fabrication, molecular design, molecular engineering, molecular junction, Nanomaterials, Optoelectronic materials, Optomechanical Thermal Imaging Transducer, organic field effect transistors, Organic Semiconductor, phase change materials, Rechargeable Battery Thermal Conductivity, self-assembled molecule, Semiconductor, semiconductor chip foundries, Semiconductor Device, Semiconductor Device Fabrication, Semiconductor Ohmic Contact, Semiconductor Risk Assessment, Semiconductor Sapphire, Semiconductors, solid-state thermal transistor, strength-thermal stability, switching reversibility, thermal circuit, thermal compression bonding, thermal conductance, Thermal Energy Storage, thermal fusion, thermal imaging, thermal management systems, thermal stability, thermal switching speed, thermal switching speeds, thermal transistor, Thin-Film Transistor, Transistor, transistors, zzsemiconducting materials

Category(s): Electrical, Electrical > Electronics & Semiconductors, Energy & Environment, Energy & Environment > Energy Generation, Energy & Environment > Energy Storage, Energy & Environment > Energy Transmission, Energy & Environment > Thermal, Electrical > Instrumentation, Materials, Materials > Nanotechnology

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