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UrduRepeats of DNA sequences, often referred to as “junk DNA” or “dark matter,” that are found in chromosomes and could contribute to cancer or other diseases have been challenging to identify and characterize. Now, investigators at the Johns Hopkins Kimmel Cancer Center have developed a novel approach that uses machine learning to identify these elements in cancerous tissue, as well as in cell-free DNA (cfDNA) — fragments that are shed from tumors and float in the bloodstream. This new method could provide a noninvasive means of detecting cancers or monitoring response to therapy. Machine learning is a type of artificial intelligence that uses data and computer algorithms to perform complex tasks and accelerate research.
Tag: Victor Velculescu
Novel Machine Learning Blood Test Detects Cancers with Genome-Wide Mutations in Single Molecules of Cell-Free DNA
Novel blood testing technology being developed by researchers at the Johns Hopkins Kimmel Cancer Center that combines genome-wide sequencing of single molecules of DNA shed from tumors and machine learning may allow earlier detection of lung and other cancers.
Novel AI Blood Test Detects Liver Cancer
A novel artificial intelligence blood testing technology developed and used by Johns Hopkins Kimmel Cancer Center researchers to successfully detect lung cancer in a 2021 study has now detected more than 80% of liver cancers in a new study of 724 people.
Novel AI Blood Testing Technology Can ID Lung Cancers with High Accuracy
A novel artificial intelligence blood testing technology developed by researchers at the Johns Hopkins Kimmel Cancer Center was found to detect over 90% of lung cancers in samples from nearly 800 individuals with and without cancer.
Advisory: Resarchers Develop Ultasensitive Blood Test to Predict Recurrence Of Gastric Cancers
Researchers at the Johns Hopkins Kimmel Cancer Center in Baltimore, working with colleagues in the Netherlands, developed a blood test that can predict recurrence of gastric cancer in patients after surgery. A description of their test, which is still experimental, was published online Jan. 27 in the journal Nature Communications.