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Point mutation of an FGF receptor abolishes phosphatidylinositol turnover and Ca²⁺ flux but not mitogenesis

Kevin G. Peters
Jacky Marie
Lewis T. Williams
Research20 Aug 1992
Nature

Volume: 358, P: 678-681
Live-cell phenotypic-biomarker microfluidic assay for the risk stratification of cancer patients via machine learning

An assay that uses machine-learning algorithms on phenotypic-biomarker data from live primary cells predicts post-surgical adverse pathology in prostate-cancer and breast cancer tissue samples from patients.

Michael S. Manak
Jonathan S. Varsanik
Ashok C. Chander
Research17 Sept 2018
Nature Biomedical Engineering

Volume: 2, P: 761-772
Live-single-cell phenotypic cancer biomarkers-future role in precision oncology?

Grannum R. Sant
Kevin B. Knopf
David M. Albala
ReviewsOpen Access15 Jun 2017
npj Precision Oncology

Volume: 1, P: 1-7

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Point mutation of an FGF receptor abolishes phosphatidylinositol turnover and Ca2+ flux but not mitogenesis

Live-cell phenotypic-biomarker microfluidic assay for the risk stratification of cancer patients via machine learning

Live-single-cell phenotypic cancer biomarkers-future role in precision oncology?

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Point mutation of an FGF receptor abolishes phosphatidylinositol turnover and Ca²⁺ flux but not mitogenesis