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AI 'liquid biopsies' using cell-free DNA, protein biomarkers, could aid early detection of ovarian cancer
The study, published Sept. 30 in the journal Cancer Discovery, a journal of the American Association for Cancer Research, used AI-powered analyses of DNA fragments and two protein biomarkers to identify women with ovarian cancer. The two protein biomarkers, called cancer antigen 125 (CA-125) and
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AI 'Liquid Biopsies' Using Cell-Free DNA, Protein | Newswise
Newswise -- A blood test that uses artificial intelligence (AI) to detect cancer-related genetic changes and protein biomarkers could help screen women for early signs of ovarian cancer, according to a study by researchers at the Johns Hopkins Kimmel Cancer Center in collaboration with several
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AI-powered blood test promises early detection of ovarian cancer
Johns Hopkins MedicineSep 30 2024 A blood test that uses artificial intelligence (AI) to detect cancer-related genetic changes and protein biomarkers could help screen women for early signs of ovarian cancer, according to a study by researchers at the Johns Hopkins Kimmel Cancer Center in
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AI 'liquid biopsies' using cell-free DNA, protein biomarkers, could aid early detection of ovarian cancer
A blood test that uses artificial intelligence (AI) to detect cancer-related genetic changes and protein biomarkers could help screen women for early signs of ovarian cancer, according to a study by researchers at the Johns Hopkins Kimmel Cancer Center in collaboration with several other
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A new study reveals that an AI-driven blood test combining cell-free DNA analysis and protein biomarkers could significantly improve early detection of ovarian cancer, potentially saving lives through earlier diagnosis and treatment.

Researchers at the Johns Hopkins Kimmel Cancer Center, in collaboration with institutions across the United States and Europe, have developed a promising new blood test for early ovarian cancer detection. The study, published in Cancer Discovery on September 30, 2024, combines artificial intelligence (AI) analysis of DNA fragments with two protein biomarkers to identify women with ovarian cancer
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.The new test, called DELFI-Pro (DNA Evaluation of Fragments for early Interception), utilizes an AI-powered approach known as fragmentomics. This technology detects irregular patterns in cell-free DNA fragments circulating in the blood, which are characteristic of cancer cells
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.DELFI-Pro combines this DNA analysis with tests for two protein biomarkers:
While these protein markers were previously known, they were not reliable enough on their own. The combination with AI-driven DNA fragment analysis significantly improved screening accuracy
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.The researchers tested DELFI-Pro on blood samples from:
The test showed impressive results:
A validation study on a smaller American sample yielded similar results, detecting 73% of all cancers and 81% of high-grade serous ovarian carcinoma cases
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Ovarian cancer is the fifth most common cause of cancer deaths among women in the United States, with a five-year survival rate of approximately 50%. Early detection is crucial, as most women are diagnosed late when survival rates are much lower.
The DELFI-Pro test offers several advantages:
While the results are promising, the researchers plan to validate the test's utility in larger samples from randomized clinical trials. Dr. Victor E. Velculescu, senior author of the study, believes this AI-enabled approach has the potential to become an affordable and accessible method for widespread ovarian cancer screening
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.As research progresses, this innovative "liquid biopsy" technique could revolutionize ovarian cancer screening, potentially saving lives through earlier diagnosis and treatment.
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