Johns Hopkins University Reports Findings in Gastric Cancer (Machine learning id entifies activation of RUNX/AP-1 as drivers of mesenchymal and fibrotic regulato ry programs in gastric cancer)
Johns Hopkins University Reports Findings in Gastric Cancer (Machine learning id entifies activation of RUNX/AP-1 as drivers of mesenchymal and fibrotic regulato ry programs in gastric cancer)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Oncology - Gastric Can cer is the subject of a report. According to news reporting originating in Balti more, Maryland, by NewsRx journalists, research stated, “Gastric cancer (GC) is the fifth most common cancer worldwide and is a heterogeneous disease. Among GC subtypes, the mesenchymal phenotype (Mes-like) is more invasive than the epithel ial phenotype (Epi-like).”
Key words
Baltimore/Maryland/United States/Nort h and Central America/Cancer/Cyborgs/Emerging Technologies/Gastric Cancer/G astroenterology/Health and Medicine/Machine Learning/Oncology
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