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Molecular Histopathology and Tissue Biomarkers in Drug and Diagnostic Development

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Cover of 'Molecular Histopathology and Tissue Biomarkers in Drug and Diagnostic Development'

Table of Contents

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    Book Overview
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    Chapter 14 Implementing a Multi-analyte Immunohistochemistry Panel into a Drug Development Program
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    Chapter 15 Image Analysis Tools for Quantification of Spinal Motor Neuron Subtype Identities
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    Chapter 16 A Field Guide to Homo morphologicus for Biomedical Scientists, Or How to Convey an Understanding of Pathology to Scientists in a Biopharma Enterprise
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    Chapter 17 Preanalytic Considerations for Molecular Genomic Analyses of Tissue
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    Chapter 18 The Impact of Pre-analytic Variables on Tissue Quality from Clinical Samples Collected in a Routine Clinical Setting: Implications for Diagnostic Evaluation, Drug Discovery, and Translational Research
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    Chapter 19 Measuring the Messenger: RNA Histology in Formalin-Fixed Tissues
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    Chapter 20 Histopathology in Mouse Models of Rheumatoid Arthritis
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    Chapter 21 Algorithm-Driven Image Analysis Solutions for RNA ISH Quantification in Human Clinical Tissues
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    Chapter 23 Adapting HER2 Testing for a Different Organ: New Wine in Old Wineskins
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    Chapter 24 Development of Tissue-Based Companion Diagnostics: The Relationship Between the Pharmaceutical Company, Diagnostic Partner, and the Biomarker Laboratory
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    Chapter 25 Development of a Tissue Image Analysis Algorithm for Celiac Drug Development
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    Chapter 26 Tissue-Based Companion Diagnostics: Development of IHC Assays from an Industry Perspective
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    Chapter 28 Outsourcing Tissue Histopathology Investigations in Support of Clinical Trials for Novel Therapeutics: Considerations and Perspectives
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    Chapter 29 Quantitative Histopathology and Alternative Approaches to Assessment of Fibrosis for Drug Development in Hepatitis C and Nonalcoholic Steatohepatitis
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    Chapter 30 Solid Tissue-Based DNA Analysis by FISH in Research and Molecular Diagnostics
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    Chapter 31 Practical Approaches to Microvessel Analysis: Hotspots, Microvessel Density, and Vessel Proximity
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    Chapter 32 Markers Used for Visualization and Quantification of Blood and Lymphatic Vessels
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    Chapter 33 Histopathology: A Canvas and Landscape of Disease in Drug and Diagnostic Development
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    Chapter 34 Cutpoint Methods in Digital Pathology and Companion Diagnostics
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    Chapter 36 Stereology and Computer-Based Image Analysis Quantifies Heterogeneity and Improves Reproducibility for Grading Reticulin in Myeloproliferative Neoplasms
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    Chapter 37 Quantitative Histopathology for Evaluation of In Vivo Biocompatibility Associated with Biomedical Implants
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    Chapter 38 Quantitative Histomorphometry and Quantitative Polymerase Chain Reaction (PCR) as Assessment Tools for Product Development
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    Chapter 39 Next-Generation Sequencing (NGS) in Anatomic Pathology Discovery and Practice
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    Chapter 40 Navigating Regulatory Approval for Tissue-Based Companion Diagnostics
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Title
Molecular Histopathology and Tissue Biomarkers in Drug and Diagnostic Development
Published by
Humana Press, January 2015
DOI 10.1007/978-1-4939-2681-7
ISBNs
978-1-4939-2680-0, 978-1-4939-2681-7
Editors

Steven J. Potts, David A. Eberhard, Keith A. Wharton, Jr.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 5%
Unknown 18 95%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 21%
Researcher 3 16%
Student > Doctoral Student 2 11%
Student > Ph. D. Student 2 11%
Student > Master 2 11%
Other 3 16%
Unknown 3 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 21%
Pharmacology, Toxicology and Pharmaceutical Science 3 16%
Chemistry 3 16%
Biochemistry, Genetics and Molecular Biology 2 11%
Psychology 1 5%
Other 3 16%
Unknown 3 16%