Search Results - skin

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AI-Based Wearable Sensor for Dermatology (Case No. 2025-301)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a flexible, cost-effective, AI-enabled wearable sensor that facilitates early, non-invasive diagnosis of allergic contact dermatitis. Background: Allergic contact dermatitis (ACD) is a hypersensitivity reaction of the skin triggered by direct contact...

Published: 8/26/2025 | Inventor(s): Aydogan Ozcan, Shannon Wongvibulson, Paloma Casteleiro Costa, Gyeo-Re Han, Yuzhu Li

Keywords(s): Artificial Intelligence, artificial intelligence augmentation, artificial intelligence/machine learning models, Artificial Neural Network, artificial-intelligent materials, Computer-Aided Diagnosis, deep neural networks (DNN), Dermatology, electrochemical sensors, Medical artificial intelligence (AI), Signal Processing, Signal-To-Noise Ratio, Skin, skin protection, wearable, wearable electronics, wearable medical device, wearable medical devices, wearable sensors, wearable sensors for health

Category(s): Electrical, Electrical > Flexible Electronics, Electrical > Sensors, Medical Devices > Monitoring And Recording Systems, Therapeutics > Dermatology, Diagnostic Markers

Methods and Compositions for Treating Melanoma (UCLA Case No. 2021-324)

The Graeber Laboratory at UCLA discovered a novel mechanism for treating melanoma using ferroptosis, a type of programmed cell death, that shows promise against therapy resistance. BACKGROUND: Melanoma is a highly aggressive skin cancer that spreads throughout the body and can be fatal if left untreated. Therapies for melanoma range from immunotherapy...

Published: 9/10/2025 | Inventor(s): Thomas Graeber

Keywords(s): Cancer, ferroptosis, Immunotherapy, MAPK signaling, Melanoma, Oncology, Skin, tumor resistance

Category(s): Therapeutics > Oncology, Therapeutics > Immunology And Immunotherapy

2021-344 Biopsy-Free In Vivo Virtual Histology of Skin Using Deep Learning

Summary: UCLA researchers in the Departments of Electrical and Computer Engineering & Bioengineering have developed a non-invasive, biopsy-free technique for in vivo virtual histology of skin cancer using deep learning. Background: Tissue biopsies have often been used to diagnose skin cancers in patients. These procedures are generally cumbersome...

Published: 7/17/2025 | Inventor(s): Aydogan Ozcan, Jingxi Li, Yair Rivenson, Xiaoran Zhang, Philip Scumpia, Jason Garfinkel, Gennady Rubinstein

Keywords(s): Artificial Intelligence, Biopsy, Cancer, Confocal Microscopy, Diagnostic Test, Histology, Image Resolution, Invasiveness Of Surgical Procedures, Melanoma, Optics, Skin, Software, Tissue (Biology), Tumor

Category(s): Software & Algorithms, Software & Algorithms > Image Processing, Life Science Research Tools, Life Science Research Tools > Microscopy And Imaging, Electrical > Imaging, Medical Devices > Medical Imaging, Optics & Photonics