Search Results - prostate+cancer

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Urine-Based Diagnostics for Prostate Cancer (UCLA Case No. 2023-302)

UCLA researchers in the Department of Human Genetics have developed a urine-based method for non-invasive prostate cancer diagnosis. By quantifying secreted and extracellular vesicles proteomes from urine, they identified protein biomarkers that enable accurate diagnosis and risk stratification of prostate cancer, outperforming the current PSA test. BACKGROUND:...

Published: 11/5/2024 | Inventor(s): Paul Boutros

Keywords(s): biomarkers, Cancer, diagnostics, extracellular vesicle, genitourinary, prostate cancer, prostatic lesion, risk stratification, secreted proteome, urinary proteome, Urine-based

Category(s): Diagnostic Markers

Inhibitors of the N-terminal Domain of the Androgen Receptor (UCLA Case No. 2023-075)

Researchers at UCLA under the guidance of Drs. Matthew Rettig and Michael Jung have developed novel molecular compounds that reduce growth of prostate cancer cells. Dr. Jung in collaboration with Dr. Rettig have furthered the development of these compounds by synthesizing a new series of analogues that have similar inhibitory effects. BACKGROUND: Prostate...

Published: 9/23/2024 | Inventor(s): Matthew Rettig, Michael Jung

Keywords(s): androgen receptor therapy, castration resistant prostate cancer, Oncology, Oncology (Small Molecules, Peptides and Antibodies), prostate cancer, small molecules

Category(s): Therapeutics > Oncology, Therapeutics > Oncology > Oncology (Small Molecules)

Temporal Transcriptomic Characterization of Small Cell Neuroendocrine Prostate Cancer (UCLA Case No. 2023-268)

The laboratory of Dr. Thomas Graeber at UCLA developed a novel in vivo model that can characterize mechanisms of the trans-differentiation of prostate cancer into small cell neuroendocrine cancer. BACKGROUND: Prostate cancer is one of the most common cancers among men worldwide, with an estimated 288,300 new cases in the U.S. last year. Among many...

Published: 10/4/2024 | Inventor(s): Thomas Graeber

Keywords(s): neuroendocrine, Oncology, prostate cancer, small cell cancer, transdifferentiation

Category(s): Therapeutics > Oncology > Oncology (Small Molecules), Platforms > Diagnostic Platform Technologies

Human T-Cell Receptors Targeting Tumor-Enhanced Splicing Epitopes on HLA-A for Small Cell Carcinoma (UCLA Case Nos. 2023-117, 2020-817)

UCLA Researchers in the Department of Microbiology, Immunology, & Molecular Genetics have utilized their previously developed computational method (IRIS), to process and capture small cell carcinoma-specific RNA splicing events in small cell cancer. These events and associated epitopes were then used as the basis for generating new T cell receptors...

Published: 10/4/2024 | Inventor(s): Owen Witte

Keywords(s): alternative splicing, Cancer, prostate cancer, RNA splicing, small cell, small cell cancer, small cell lung cancer, small cell prostate cancer, Targets And Assays

Category(s): Life Science Research Tools

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

Targeting Prostate Cancer with a Novel T-Cell Receptor and Tissue-Specific Cancer Antigens for Improved Immune Response (UCLA Case No. 2022-070)

Researchers from UCLA’s Department of Microbiology, Immunology, & Molecular Genetics (MIMG), and the department of Molecular and Medical Pharmacology have identified a set of tissue-specific antigens which have been used to isolate and characterize a group of novel T-cell receptors (TCRs) which target prostate cancer specifically. Furthermore,...

Published: 11/15/2024 | Inventor(s): Owen Witte, Zhiyuan Mao, Jami Witte, Pavlo Nesterenko, John Lee

Keywords(s): Cancer, cancer antigen, Peptide, peptides, prostate cancer, protein, t-cells

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

Novel Method to Group Pixels for Medical Imaging (UCLA Case No. 2022-290)

Summary: UCLA researchers in the Department of Radiological Sciences have developed a new computational pipeline for identifying lesions in MRI data. Background: Prostate cancer is one of the most common cancer types with 12.6% of men diagnosed within their lifetime. Prostate cancer ranks as the 2nd leading cause of cancer-related deaths in the...

Published: 7/31/2023 | Inventor(s): Ashley Yeager

Keywords(s): AI algorithms, Algorithm, algorithmic cancer detection, Cancer, cancer detection, DICOM, multiparametric MRI (mpMRI), prostate cancer, Radiology, Software & Algorithms, Tumor, Tumor Marker

Category(s): Software & Algorithms, Software & Algorithms > Image Processing, Software & Algorithms > Digital Health