Search Results - will+hinkley

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OASIS-Net: An Obstetric Adversarial Semi-supervised Image Segmentation Network for Cervical and Fetal Head Ultrasound Imaging

Advantages Achieves over 96% Dice accuracy for cervical and fetal head segmentation with limited labeled data Enables near real-time performance (~19 FPS on GPU) suitable for clinical workflow integration Reduces dependence on large, annotated datasets through semi-supervised learning Improves boundary precision, lowering measurement errors in...

Published: 3/13/2026 | Inventor(s): Tien Truong, Phat Huynh, Dang Nguyen, Minh Le, Thanh-Huy Nguyen, Nguyen Khanh Le

Keywords(s): Medical Imaging, Women’s Health

Category(s): Technology Classifications > Data/AI > D/AI Imaging, Technology Classifications > Medical > Medical Imaging, Technology Classifications > Medical > Womens Health

Small molecule sAPPalpha enhancers that inhibit brain p-Tau as a therapeutic for Alzheimer’s Disease (UCLA Case No. 2025-163)

Contact UCLA Technology Development Group to learn more.

Published: 9/18/2025 | Inventor(s): Varghese John, Dongwook Wi, Jesus Campagna

Keywords(s):

Category(s): Therapeutics > CNS and Neurology

Nanoporous High Entropy Alloys (NHEAs)

THE CHALLENGE The key challenge in developing advanced lightweight materials for industries like aerospace, automotive, and energy lies in creating nanoporous metals that are both ultra-light and mechanically robust. While these materials offer exciting benefits such as low density, high surface area, and potentially superior strength, current manufacturing...

Published: 10/17/2025 | Inventor(s): Celine Hin, Jarod Worden

Keywords(s):

Category(s): Technology Classifications > Chemicals/Materials

MDCare: AI-Based Real-Time Surgical Blood Loss Quantification System

Advantages Real-time and continuous blood loss estimation Automated and objective, minimizing human error Enhances surgical decision-making Seamlessly integrates into clinical workflows Mobile alerts for timely, remote monitoring Summary Inaccurate blood loss estimation during surgery remains a critical challenge, with traditional visual and...

Published: 10/14/2025 | Inventor(s): Phat Huynh, Dang Nguyen, Trung Le, Aaron Muncey, Heath Rutledge-Jukes, Pallavi Jonnalagadda, Sammer Marzouk, Tram Le

Keywords(s): Artificial Intelligence, Medical Diagnostics, Sensors

Category(s): Technology Classifications > Medical > Medical Diagnostics, Technology Classifications > Medical > Medical Sensors, Technology Classifications > Medical > Surgery, Technology Classifications > Data/AI > D/AI Imaging

MDCare: AI-Based Real-Time Surgical Blood Loss Quantification System

Published: 10/14/2025 | Inventor(s): Phat Huynh, Dang Nguyen, Trung Le, Aaron Muncey, Heath Rutledge-Jukes, Pallavi Jonnalagadda, Sammer Marzouk, Tram Le

Keywords(s): Artificial Intelligence, Medical Diagnostics, Sensors

Smart IoT System for Longitudinal Real-time Physiological Monitoring of Cancer Patients Undergoing Treatment

Advantages Provides continuous, real-time patient monitoring from home Uses compact, low-cost IoT devices designed specifically for sleep monitoring in cancer patients Enables predictive analysis of sleep apnea using machine learning and longitudinal data Improves comfort and accessibility over traditional in-lab sleep studies Summary Cancer...

Published: 10/14/2025 | Inventor(s): Trung Le, Quoc Nguyen

Keywords(s): Artificial Intelligence, Wearable Monitoring Equipment

Category(s): Technology Classifications > Medical > Medical Devices

Solutions for endotracheal tube (ETT) management in ICU patients

Background/problem Patients in the Intensive Care Unit (ICU) often require prolonged mechanical ventilation via an Endotracheal Tube (ETT). The ETT must be correctly positioned in the trachea and secured to prevent migration. However, factors such as patient movement, oral/nasal secretions, and adhesive deterioration often lead to ETT malpositioning....

Published: 1/13/2026 | Inventor(s): Daniel Stromberg, Sung Hoon Jung, Chloe Ihonvbere, Rose Anconetani, Scott Davenport, Justine Le

Keywords(s):

Category(s): Life sciences > Medical technology > Medical devices

Novel Method of Cancer Diagnosis by Multifractality of Surface Potential

Advantages: Enhanced diagnostic accuracy for precise cancer cell identification. Complementary insights from both morphology and surface potential analysis. Label-free and minimally invasive, ensuring safety and sample integrity. Background: Breast and ovarian are the most frequent types of cancer among women worldwide. Morbidity and mortality...

Published: 8/26/2025 | Inventor(s): Dmitri Voronin, Phat Huynh, Dang Nguyen, Grace Binder, Sharad Ambardar, Trung Le

Keywords(s): Cancer Diagnostics, Medical Imaging

Category(s): Technology Classifications > Cancer > Cancer Diagnostics, Technology Classifications > Medical > Medical Imaging

Noise-robust Sleep Apnea Diagnostic System and Method

Advantages: This technology, compared to existing methods, provides superior accuracy in analyzing intermittent dynamics. Notably, it demonstrates outstanding robustness, making it highly reliable in noisy environments and varying sampling rates. With this innovative approach, researchers and students can easily access profound insights into...

Published: 11/15/2024 | Inventor(s): Trung Le

Keywords(s): Health Tech, Medical Devices

Category(s): Technology Classifications > Engineering > Industrial Engineering, Technology Classifications > Medical > Medical Devices

Post-Print Physical Vetting of 3D Prints with Minimal Embedded Nano-Material Assessor

Overview of the Model System Invention Summary: 3D printing has become highly desirable in industrial manufacturing and biomedical applications. Outsourcing the manufacturing to a 3D printing facility leaves the user without access to the printers and a lack of physical verification to determine whether small defects, invisible to the naked eye,...

Published: 2/20/2026 | Inventor(s): Saman Aliari Zonouz, Mehdi Javanmard, Abdul Beyah, Luis Garcia, Tuan-Anh Le, Christian Bayens

Keywords(s): Machines & Instruments, Manufacturing, Sensors & Probes

Category(s): Technology Classifications > Physical Sciences & Engineering

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