Evolution's Clinical Guidebook: Translating Ancient Genes into Precision Medicine

Evolution's Clinical Guidebook: Translating Ancient Genes into Precision Medicine

by Jules J. Berman
ISBN-10:
012817126X
ISBN-13:
9780128171264
Pub. Date:
04/26/2019
Publisher:
Elsevier Science
ISBN-10:
012817126X
ISBN-13:
9780128171264
Pub. Date:
04/26/2019
Publisher:
Elsevier Science
Evolution's Clinical Guidebook: Translating Ancient Genes into Precision Medicine

Evolution's Clinical Guidebook: Translating Ancient Genes into Precision Medicine

by Jules J. Berman
$130.0 Current price is , Original price is $130.0. You
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Overview

Evolution's Clinical Guidebook: Translating Ancient Genes into Precision Medicine demonstrates, through well-documented examples, how an understanding of the phylogenetic ancestry of humans allows us to make sense out of the flood of genetic data streaming from modern laboratories and how it can lead us to new ways to prevent, diagnose and treat diseases. Topics cover evolution and human genome, meiosis and other recombinants events, embryology, speciation, phylogeny, rare and common diseases, and the evolution of aging. This book is a valuable source for bioinformaticians and those in the biomedical field who need knowledge, down to gene level, to fully comprehend currently available data.


Product Details

ISBN-13: 9780128171264
Publisher: Elsevier Science
Publication date: 04/26/2019
Pages: 357
Product dimensions: 7.50(w) x 9.25(h) x (d)

About the Author

Jules J. Berman, Ph.D., M.D. holds degrees from MIT, Temple University, and the University of Miami. He served as Chief of Anatomic Pathology, Surgical Pathology, and Cytopathology at the Veterans Administration Medical Center in Baltimore, Maryland, with joint appointments at the University of Maryland Medical Center and at the Johns Hopkins Medical Institutions. He later served at the US National Cancer Institute as a medical officer and as program director for pathology informatics in the Cancer Diagnosis Program. Dr. Berman is a past president of the Association for Pathology Informatics and the 2011 recipient of the association’s Lifetime Achievement Award.Jules J. Berman, Ph.D., M.D. holds degrees from MIT, Temple University, and the University of Miami. He served as Chief of Anatomic Pathology, Surgical Pathology, and Cytopathology at the Veterans Administration Medical Center in Baltimore, Maryland, with joint appointments at the University of Maryland Medical Center and at the Johns Hopkins Medical Institutions. He later served at the US National Cancer Institute as a medical officer and as program director for pathology informatics in the Cancer Diagnosis Program. Dr. Berman is a past president of the Association for Pathology Informatics and the 2011 recipient of the association’s Lifetime Achievement Award. He has first-authored more than 100 journal articles and has written 18 science books. His most recent titles, published by Elsevier, include:

-Taxonomic Guide to Infectious Diseases: Understanding the Biologic Classes of Pathogenic Organisms, 1st edition (2012) -Principles of Big Data: Preparing, Sharing, and Analyzing Complex Information (2013) -Rare Diseases and Orphan Drugs: Keys to Understanding and Treating the Common Diseases (2014) -Repurposing Legacy Data: Innovative Case Studies (2015) -Data Simplification: Taming Information with Open Source Tools (2016) -Precision Medicine and the Reinvention of Human Disease (2018) -Principles and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information, Second Edition (2018) -Taxonomic Guide to Infectious Diseases: Understanding the Biologic Classes of Pathogenic Organisms, 2nd edition (2019)

Table of Contents

1. Evolution, From the Beginning2. Shaking Up the Genome3. Evolution and Embryonic Development4. Speciation5. Phylogeny: Eukaryotes to Chordates6. Phylogeny: Craniates to Humans7. Trapped by Evolution8. Animal Models of Human Disease: Opportunities and Limitations9. Medical Proof of Evolution

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Uses documented examples to illustrate how an understanding of humans phylogenetic ancestry helps us make sense of genetic data from modern laboratories

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