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Earliest Detection of Cancer by Artificial Intelligence Analysis of Circulating Cell-Free DNA Fragmentomes
A new blood test that uses artificial intelligence to analyze circulating molecular markers for the earliest signs of ovarian and other cancers has been reported by researchers.
At the AACR 2024 Annual Meeting in San Diego, Victor Velculescu, MD, PhD, Co-Director of the Cancer Genetics & Epigenetics Program at Johns Hopkins Kimmel Cancer Center, reported his group’s validation of the test that assesses the pattern of circulating fragments of tumor DNA, known as fragmentomes.
After discussing the findings at an AACR press briefing, Velculescu joined Peter Goodwin in the OncTimesTalk podcast studio to discuss the clinical implications.
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A new blood test that uses artificial intelligence to analyze circulating molecular markers for the earliest signs of ovarian and other cancers has been reported by researchers.
At the AACR 2024 Annual Meeting in San Diego, Victor Velculescu, MD, PhD, Co-Director of the Cancer Genetics & Epigenetics Program at Johns Hopkins Kimmel Cancer Center, reported his group’s validation of the test that assesses the pattern of circulating fragments of tumor DNA, known as fragmentomes.
After discussing the findings at an AACR press briefing, Velculescu joined Peter Goodwin in the OncTimesTalk podcast studio to discuss the clinical implications.