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2020-182 MITOCHONDRIAL DNA PROSTATE CANCER MARKER AND RELATED SYSTEMS AND METHODS
Researchers in UCLA Department of Human Genetics have developed a novel method of using the mitochondrial genome of prostate cancer patients to predict which tumours are likely to become lethal.BACKGROUND:Prostate cancer remains the most prevalent non-skin cancer in men. Most studies of the prostate cancer genome focused on mutations in the nuclear...
Published: 7/19/2023
|
Inventor(s):
Paul Boutros
,
Robert Bristow
Keywords(s):
Artifical Intelligence (Machine Learning, Data Mining)
,
Bioinformatics
,
Diagnostic Markers & Platforms
,
Diagnostic Platform Technologies (E.G. Microfluidics)
,
Life Science Research Tools
,
Oncology
,
Research Methods
,
Software
,
Software & Algorithms
Category(s):
Life Science Research Tools > Research Methods
,
Platforms > Diagnostic Platform Technologies
,
Therapeutics > Oncology
,
Software & Algorithms > Bioinformatics
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Software & Algorithms > Programs
2020-181 BIOPSY-DRIVEN GENOMIC SIGNATURE FOR PROSTATE CANCER PROGNOSIS
Researchers at UCLA and in Canada have developed a novel biopsy-driven genomic signature for prostate cancer prognosis.BACKGROUND:Prostate cancer is the second most common cause of male cancer deaths in North America. While most prostate cancers are indolent and are unlikely to cause, about 30% of men will experience an aggressive cancer that will recur...
Published: 7/19/2023
|
Inventor(s):
Paul Boutros
,
Robert Bristow
Keywords(s):
Diagnostic Markers & Platforms
,
Oncology
Category(s):
Therapeutics > Oncology