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Christoph
@trendspotter.bsky.social
interested in trends and futuristic ideas
16 followers10 following993 posts
Ctrendspotter.bsky.social

#Artificialintelligence#cancer#machinelearningwww.aacr.org/about-the-aa...

A blood-based machine learning assay that combines cell-free DNA (cfDNA) fragment patterns and levels of the proteins CA125 and HE4 could differentiate patients with ovarian cancer from healthy controls or patients with benign ovarian masses, according to a retrospective study presented at the American Association for Cancer Research (AACR) Annual Meeting 2024, held April 5-10. Federal statistics list ovarian cancer as the fifth most common cause of cancer deaths among women in the United States, with a five-year survival rate of approximately 50%. Part of what makes ovarian cancer so deadly is that it does not typically cause symptoms in the early stages of disease, explained Jamie Medina, PhD, a postdoctoral fellow at the Johns Hopkins Kimmel Cancer Center.
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C
Christoph
@trendspotter.bsky.social
interested in trends and futuristic ideas
16 followers10 following993 posts
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