Jules Berman holds two Bachelor of Science degrees from MIT (in Mathematics and in Earth and Planetary Sciences), a PhD from Temple University, and an MD from the University of Miami. He was a graduate researcher at the Fels Cancer Research Institute (Temple University) and at the American Health Foundation in Valhalla, New York. He completed his postdoctoral studies at the US National Institutes of Health, and his residency at the George Washington University Medical Center in Washington, DC. Dr. Berman served as Chief of anatomic pathology, surgical pathology, and cytopathology at the Veterans Administration Medical Center in Baltimore, Maryland, where he held joint appointments at the University of Maryland Medical Center and at the Johns Hopkins Medical Institutions. In 1998, he transferred to the US National Institutes of Health as a Medical Officer and as the Program Director for Pathology Informatics in the Cancer Diagnosis Program at the National Cancer Institute. Dr. Berman is a past President of the Association for Pathology Informatics and is the 2011 recipient of the Association’s Lifetime Achievement Award. He is a listed author of more than 200 scientific publications and has written more than a dozen books in his three areas of expertise: informatics, computer programming, and pathology. Dr. Berman is currently a freelance writer.
Télécharger le livre :  Classification Made Relevant

Classification Made Relevant: How Scientists Build and Use Classifications and Ontologies explains how classifications and ontologies are designed and used to analyze scientific information. The book presents the fundamentals of classification, leading up to a...
Editeur : Academic Press
Parution : 2022-01-25

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Télécharger le livre :  Logic and Critical Thinking in the Biomedical Sciences

All too often, individuals engaged in the biomedical sciences assume that numeric data must be left to the proper authorities (e.g., statisticians and data analysts) who are trained to apply sophisticated mathematical algorithms to sets of data. This is a terrible...
Editeur : Academic Press
Parution : 2020-07-08

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Télécharger le livre :  Logic and Critical Thinking in the Biomedical Sciences

Science is not a collection of facts.Science is the process by which we draw inferences from facts. Volume I of Logic and Critical Thinking in the Biomedical Sciences invites readers to linger over a collection of common observations to see what inferences can be drawn,...
Editeur : Academic Press
Parution : 2020-07-03

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Télécharger le livre :  Taxonomic Guide to Infectious Diseases

Taxonomic Guide to Infectious Diseases: Understanding the Biologic Classes of Pathogenic Organisms, Second Edition tackles the complexity of clinical microbiology by assigning every infectious organism to one of 40+ taxonomic classes and providing a description of the...
Editeur : Academic Press
Parution : 2019-05-31

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Télécharger le livre :  Evolution's Clinical Guidebook

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...
Editeur : Academic Press
Parution : 2019-04-25

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Télécharger le livre :  Principles and Practice of Big Data

Principles and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information, Second Edition updates and expands on the first edition, bringing a set of techniques and algorithms that are tailored to Big Data projects. The book stresses the point that most...
Editeur : Academic Press
Parution : 2018-07-23

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Télécharger le livre :  Precision Medicine and the Reinvention of Human Disease

Despite what you may have read in the popular press and in social media, Precision Medicine is not devoted to finding unique treatments for individuals, based on analyzing their DNA. To the contrary, the goal of Precision Medicine is to find general treatments that are...
Editeur : Academic Press
Parution : 2018-01-15

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Télécharger le livre :  Data Simplification

Data Simplification: Taming Information With Open Source Tools addresses the simple fact that modern data is too big and complex to analyze in its native form.Data simplification is the process whereby large and complex data is rendered usable. Complex data must be...
Editeur : Morgan Kaufmann
Parution : 2016-03-10

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Télécharger le livre :  Repurposing Legacy Data

Repurposing Legacy Data: Innovative Case Studies takes a look at how data scientists have re-purposed legacy data, whether their own, or legacy data that has been donated to the public domain. Most of the data stored worldwide is legacy data—data created some time in...
Editeur : Elsevier
Parution : 2015-03-13

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Télécharger le livre :  Rare Diseases and Orphan Drugs

Rare Diseases and Orphan Drugs shows that much of what we now know about common diseases has been achieved by studying rare diseases. It proposes that future advances in the prevention, diagnosis, and treatment of common diseases will come as a consequence of our...
Editeur : Academic Press
Parution : 2014-05-26

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Télécharger le livre :  Principles of Big Data

Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of...
Editeur : Morgan Kaufmann
Parution : 2013-05-20

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Télécharger le livre :  Taxonomic Guide to Infectious Diseases

In the past few decades, there have been great advances in the phylogenetic classification of infectious diseases of man. Taxonomic Guide to Infectious Diseases organizes this information into a standard biological classification and provides a short,...
Editeur : Academic Press
Parution : 2012-08-31

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