Search Results - lymphatic+cancer

2 Results

Sort By:

Full Spectrum Computer Vision for Photon Counting CT (Case No. 2024-058)

Summary: Researchers in the Department of Radiological Sciences have developed a machine learning algorithm that processes multispectral photon counting CT data for accurate medical imaging. Background: Photon counting computed tomography (PCCT) is a tremendous engineering advancement, enabling high resolution spectral imaging with myriad applications....

Published: 9/20/2024 | Inventor(s): Matthew Brown, Dieter Enzmann, John Hoffman, Michael Mcnitt-Gray

Keywords(s): AI algorithms, Algorithm, Algorithm Optical Coherence Tomography, algorithmic cancer detection, Artifical Intelligence (Machine Learning, Data Mining), artificial electromagnetic materials, Artificial Intelligence, artificial intelligence augmentation, Artificial Neural Network, Artificial Neural Network Artificial Neuron, artificial-intelligent materials, Big Data, Bladder Cancer, blood cancers, Brain cancer, Breast Cancer, Cancer, cancer antigen, cancer detection, Cancer Immunotherapy, Cancer stem cells, cancer target, Computed tomography, CT, Deep Learning, design software, Digital Pathology, generative artificial intelligence, Genetic Algorithm, Histopathological image analysis, Histopathology, histopathology images, hyperparameter optimization, Image Analysis, Image Processing, lympathic cancers, lymphatic cancer, Medical artificial intelligence (AI), Mesenchymal Stem Cell Derived Cancer Cells, Orthotopic cancer models, Pancreatic cancer, pathology image analysis, Photon counting computed tomography (PCCT), prostate cancer, Radiology, Radiology / Radiomitigation, Software, Software & Algorithms, Software Development Tools, Software-enabled learning

Category(s): Software & Algorithms, Software & Algorithms > Image Processing, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Data Analytics

Method for Combined Conditioning and Chemoselection in a Single Cycle (UCLA Case No. 2011-478)

SUMMARY: Researchers at UCLA have developed a highly-efficient technique to engraft and select hematopoietic stem cells directly inside a patient. The invention will improve the fidelity of stem cell transplantations and reduce toxic side effects on patients. BACKGROUND: Hematopoietic stem cell transplantation (HSCT) is a mainstay of treatment for...

Published: 11/15/2024 | Inventor(s): Gay Crooks, Robert Schiestl, Katrin Hacke, Akos Szakmary

Keywords(s): blood cancers, Cancer stem cells, Hematopoietic stem cell transplantation, hematopoietic stem cells, lymphatic cancer, stem cell transplantations, Transplant

Category(s): Therapeutics > Stem Cells And Regenerative Medicine, Therapeutics > Transplant