Search Results - blood+cancers

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Small Molecules that Inhibit RNA Binding Protein IGF2BP3 in Cancer (UCLA Case No. 2023-215)

UCLA researchers in the Department of Pathology and Laboratory Medicine have developed small molecules which inhibits the protein IGF2BP3, a highly expressed oncofetal protein in certain cancers, especially in B-acute lymphoblastic leukemia. BACKGROUND: Cancer remains the second leading cause of death in the U.S. Advancements in targeted therapies...

Published: 11/15/2024 | Inventor(s): Dinesh Rao

Keywords(s): blood cancers, Cancer, cancer inhibition, leukemia

Category(s): Therapeutics > Oncology

Intraoperative Deep Learning Model for Imputation of the Continuous Central Venous Pressure (CVP) and Pulmonary Arterial Pressure (PAP) Waveforms From (Case No. 2024-224)

Summary: Researchers in the UCLA Department of Anesthesiology have developed a deep learning model to accurately represent and visualize hemodynamic waveforms, or blood flow patterns, with minimally invasive approaches. Background: Swan-Ganz (SG) catheters are used for precise cardiac hemodynamic evaluations. Indicated for patients with severe...

Published: 9/3/2024 | Inventor(s): Maxime Cannesson, Sungsoo (Danny) Kim, Akos Rudas, Jeffrey Chiang, Ravi Pal

Keywords(s): active learning, Algorithm, algorithm-based testing, arterial blood pressure (ABP), Artifical Intelligence (Machine Learning, Data Mining), artificial intelligence algorithms, blood cancers, blood flow management, Blood Pressure, Blood Proteins, cardiovascular monitoring, catheter, Catheterization, central venous pressure (CVP), Computer Aided Learning, Continuous blood pressure monitoring, critical care, curriculum learning, Deep Learning, Deep learning-based sensing, deep-learning analysis algorithms, heart failure, hemodynamic monitoring, Machine Learning, non-invasive monitoring, Perceptual Learning, pulmonary arterial pressure (PAP), Software & Algorithms, Swan-Ganz catheter

Category(s): Software & Algorithms, Software & Algorithms > Digital Health, Software & Algorithms > Artificial Intelligence & Machine Learning, Medical Devices, Medical Devices > Monitoring And Recording Systems

Inhibitory Chimeric Antigen Receptors That Reduce Car-T Cell “On-Target, Off-Tumor” Toxicity (UCLA Case No. 2022-186)

SUMMARY: UCLA researchers in the Department of Microbiology, Immunology and Molecular Genetics, and the Department of Molecular and Medical Pharmacology have recently developed a novel approach which improves the kinetics and specificity of CAR T-cell therapy. BACKGROUND: Chimeric antigen receptor (CAR) T-cell therapy makes use of reengineered...

Published: 5/16/2024 | Inventor(s): Owen Witte

Keywords(s): blood cancers, CAR-T cell therapy

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

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