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Books on the topic 'Breast cancer prediction models'

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Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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1

Pawluczyk, Olga. Volumetric estimation of breast density for breast cancer risk prediction. Ottawa: National Library of Canada, 2001.

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2

Ueno, Naoto T. Inflammatory Breast Cancer: An Update. 2nd ed. Dordrecht: Springer Netherlands, 2012.

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3

A more difficult exercise. London: Bloomsbury, 1989.

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4

O'Connell, Fiona Claire. Morphology and gene expression in the postnatal mouse mammary gland. Dublin: University College Dublin, 1997.

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5

Focus on Breast Cancer Research. Nova Science Publishers, 2004.

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6

James, Paul, and Alison H. Trainer. Constitutional Genomic Variation in Disease Prediction and Prevention: Breast Cancer. Academic Press, 2022.

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7

James, Paul, and Alison H. Trainer. Constitutional Genomic Variation in Disease Prediction and Prevention: Breast Cancer. Elsevier Science & Technology Books, 2022.

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8

Ahlgren, Johan. Studies on Prediction of Axillary Lymph Node Status in Invasive Breast Cancer. Uppsala Universitet, 2002.

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9

Ng, Raymond Hin Wai. Plasminogen activators in cancer (experimental tumor models and human breast). 1986.

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10

Cheung, Alison Min Yan. Characterization of the biological functions of breast cancer gene BRCA2 using conditionally-inactivated mouse models. 2003.

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11

A more difficult exercise. Bloomsbury, 1989.

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12

Carlyle, Jones Thomas, Mohr U, and Hunt Ronald Duncan, eds. Integument and mammary glands. Berlin: Springer-Verlag, 1989.

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13

Zwieten, Matthew J. van. Rat As Animal Model in Breast Cancer Research: A Histopathological Study of Radiation- and Hormone-Induced Rat Mammary Tumors. Springer, 2012.

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14

Zwieten, Matthew J. van. Rat As Animal Model in Breast Cancer Research: A Histopathological Study of Radiation- and Hormone-Induced Rat Mammary Tumors. Springer, 2012.

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15

J, Bradley Cathy, and National Bureau of Economic Research., eds. Employment-contingent health insurance, illness, and labor supply of women: Evidence from married women with breast cancer. Cambridge, Mass: National Bureau of Economic Research, 2005.

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16

Cassidy, Jim, Donald Bissett, Roy A. J. Spence OBE, Roy A. J. Spence OBE, Miranda Payne, and Gareth Morris-Stiff. Biomarkers and cancer. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199689842.003.0040.

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Biomarkers and cancer defines these markers and outlines their role in diagnosis, prognosis, prediction of response, and response assessment of a variety of cancers. Established biomarkers are reviewed, and the potential for development of new biomarkers offered by the dramatic progress in both the understanding of molecular biology and the development of laboratory techniques is emphasised. The field of signal transduction has already proved fruitful, with identification of markers allowing successful targeted therapy in a range of cancers. Progress is anticipated also in tumour imaging, with developments in both MRI and PET. Areas of clinical interest are summarised for breast, lung, colorectal, renal, and CNS malignancies.

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17

Wang, Sigen, Otto Zhou, and Sha Chang. Carbon-nanotube field emission electron and X-ray technology for medical research and clinical applications. Edited by A. V. Narlikar and Y. Y. Fu. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199533060.013.19.

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This article describes carbon-nanotube based X-ray technologies for medical research and clinical applications, including an X-ray source, microfocus X-ray tube, microcomputed tomography scanner, stationary digital breast tomosynthesis, microradiotherapy system, and single-cell irradiation system. It first examines electron field emission from carbon nanotubes before discussing carbon-nanotube field emission electron and X-ray technologies in greater detail. It highlights the enormous promise of these systems in commercial and research application for the future in diagnostic medical imaging; in-vivo imaging of small-animal modelsfor pre-clinical cancer studies; security screening; industrial inspection; cancer radiotherapy of small-animal models for pre-clinical cancer studies; and basic cancer research using single-cell irradiation.

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