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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: 7/10/2024
|
Inventor(s):
Thomas Graeber
Keywords(s):
Cancer
,
ferroptosis
,
Immunotherapy
,
MAPK signaling
,
Melanoma
,
Oncology
,
Skin
,
tumor resistance
Category(s):
Therapeutics > Oncology
,
Therapeutics > Immunology And Immunotherapy
2023-001
Skin
profiler: Low-Cost 3D Scanner for Skin Health Monitoring With Mobile Devices
Summary: UCLA researchers in the Electrical and Computer Engineering Department have developed
Skin
Profiler, an end-to-end skin profiling system that reconstructs and keeps track of 3D geometries of skin lesions and moles for long-term out-of-clinic skin health monitoring. Background: Skin cancers are among the most common types of cancer. In particular,...
Published: 7/19/2023
|
Inventor(s):
Yang Zhang
Keywords(s):
Cancer
,
Digital Health
,
Imaging
,
Melanoma
,
Mobile Phone
,
Skin
,
Smartphone
Category(s):
Software & Algorithms
,
Software & Algorithms > Image Processing
,
Software & Algorithms > Digital Health
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Medical Devices
,
Medical Devices > Medical Imaging
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: 7/19/2023
|
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