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Helen C Turner

Showing results (11-20 of 63) with videos related to

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Investigative Ophthalmology & Visual Science|April 27, 2007
Comparative analysis of human conjunctival and corneal epithelial gene expression with oligonucleotide microarraysHelen C Turner, Murat T Budak, M A Murat Akinci, et al.
Experimental Eye Research|June 6, 2006
Identification and localization of aquaporin 5 in the mammalian conjunctival epitheliumHandy Oen, Pang Cheng, Helen C Turner, et al.
Radiation and Environmental Biophysics|January 22, 2016
In vitro RABiT measurement of dose rate effects on radiation induction of micronuclei in human peripheral blood lymphocytesAntonella Bertucci, Lubomir B Smilenov, Helen C Turner, et al.
Cytogenetic and Genome Research|August 13, 2023
Comparison of Isolated Lymphocyte and Whole Blood-Based CBMN Assays for Radiation TriageAntonella Bertucci, Ruth C Wilkins, Sylvie Lachapelle, et al.
Scientific Reports|December 6, 2022
A machine learning method for improving the accuracy of radiation biodosimetry by combining data from the dicentric chromosomes and micronucleus assaysIgor Shuryak, Ekaterina Royba, Mikhail Repin, et al.
Scientific Reports|February 18, 2021
Machine learning methodology for high throughput personalized neutron dose reconstruction in mixed neutron + photon exposuresIgor Shuryak, Helen C Turner, Monica Pujol-Canadell, et al.
Radiation Research|March 11, 2011
Prediction of in vivo radiation dose status in radiotherapy patients using ex vivo and in vivo gene expression signaturesSunirmal Paul, Christopher A Barker, Helen C Turner, et al.
Scientific Reports|October 12, 2024
Validation of a blood biomarker panel for machine learning-based radiation biodosimetry in juvenile and adult C57BL/6 miceLeah Nemzow, Michelle A Phillippi, Karthik Kanagaraj, et al.
Scientific Reports|February 10, 2025
Author Correction: Validation of a blood biomarker panel for machine learning-based radiation biodosimetry in juvenile and adult C57BL/6 miceLeah Nemzow, Michelle A Phillippi, Karthik Kanagaraj, et al.
Radiation Research|February 8, 2014
Fast image analysis for the micronucleus assay in a fully automated high-throughput biodosimetry systemOleksandra V Lyulko, Guy Garty, Gerhard Randers-Pehrson, et al.
Pageof 7

Showing results (11-20 of 63) with videos related to

Sort By:
Pageof 7
Investigative Ophthalmology & Visual Science|April 27, 2007
Comparative analysis of human conjunctival and corneal epithelial gene expression with oligonucleotide microarraysHelen C Turner, Murat T Budak, M A Murat Akinci, et al.
Experimental Eye Research|June 6, 2006
Identification and localization of aquaporin 5 in the mammalian conjunctival epitheliumHandy Oen, Pang Cheng, Helen C Turner, et al.
Radiation and Environmental Biophysics|January 22, 2016
In vitro RABiT measurement of dose rate effects on radiation induction of micronuclei in human peripheral blood lymphocytesAntonella Bertucci, Lubomir B Smilenov, Helen C Turner, et al.
Cytogenetic and Genome Research|August 13, 2023
Comparison of Isolated Lymphocyte and Whole Blood-Based CBMN Assays for Radiation TriageAntonella Bertucci, Ruth C Wilkins, Sylvie Lachapelle, et al.
Scientific Reports|December 6, 2022
A machine learning method for improving the accuracy of radiation biodosimetry by combining data from the dicentric chromosomes and micronucleus assaysIgor Shuryak, Ekaterina Royba, Mikhail Repin, et al.
Scientific Reports|February 18, 2021
Machine learning methodology for high throughput personalized neutron dose reconstruction in mixed neutron + photon exposuresIgor Shuryak, Helen C Turner, Monica Pujol-Canadell, et al.
Radiation Research|March 11, 2011
Prediction of in vivo radiation dose status in radiotherapy patients using ex vivo and in vivo gene expression signaturesSunirmal Paul, Christopher A Barker, Helen C Turner, et al.
Scientific Reports|October 12, 2024
Validation of a blood biomarker panel for machine learning-based radiation biodosimetry in juvenile and adult C57BL/6 miceLeah Nemzow, Michelle A Phillippi, Karthik Kanagaraj, et al.
Scientific Reports|February 10, 2025
Author Correction: Validation of a blood biomarker panel for machine learning-based radiation biodosimetry in juvenile and adult C57BL/6 miceLeah Nemzow, Michelle A Phillippi, Karthik Kanagaraj, et al.
Radiation Research|February 8, 2014
Fast image analysis for the micronucleus assay in a fully automated high-throughput biodosimetry systemOleksandra V Lyulko, Guy Garty, Gerhard Randers-Pehrson, et al.
Pageof 7