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Big data analysis paves way for personalized ovarian cancer treatment

A recent study led by Hidenori Machino at the RIKEN Center for Advanced Intelligence Project (AIP) and the National Cancer Center Research Institute in Japan used a big data multi-omics analysis to examine changes in gene expression as cells from human fallopian tubes become cancerous.
Hidenori Machino National Cancer Center Research Institute Advanced Intelligence Project Advanced Intelligence Ovarian Cancer Ene Expression

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"TimeMachine" algorithm revolutionizes circadian rhythm analysis with single blood sample

"TimeMachine," an algorithm developed by U.S. researchers, accurately predicts circadian phase from a single blood sample using gene expression, offering a novel, efficient approach to understanding circadian rhythms and their impact on health.
United States National Center Proceedings Of The National Academy Sciences National Academy Nuva Frames Biotechnology Information Gene Expression Omnibus

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