Precision Medicine and the Reinvention of Human Disease clarifies the foundational concepts of precision medicine, distinguishing this field from its early predecessors such as genomics, pharmacogenomics, and personalized medicine. Until recently, most of medicine was focused either on the beginning of diseases or the end-point of them. With precision medicine, attention has shifted to the precise steps of disease development. In particular, biomedical scientists are now looking for the key genetic and cellular pathways that lead to the emergence of a disease. Thus, precision medicine is reinventing disease in terms events and pathways that will serve as targets for new preventive, diagnostic, and therapeutic interventions.
This book discusses topics such as disease causality, genetics, diseases convergence and how to diagnose using precision medicine. Additionally, it is discussed the importance of data management and its impact on the future of this exciting field.
The book is a valuable source for bioinformaticians, computer biologists, geneticists and several members of biomedical field who are interested in learning more about this new and very fundable field of precision medicine.
- Clarifies the foundational concepts of precision medicine, distinguishing this field from its early predecessors such as genomics, pharmacogenomics, and personalized medicine
- Explains the interdisciplinary field of precision medicine in plain language, in order to be accessible to anyone who has taken a college level biology course
- Guides the reader through a coherent and logical narrative, gradually providing expertise and skills along the way
- Discusses the important role of proper methods for data collection, data annotation, and data sharing in precision medicine, and the many data-related challenges that confront this fragile new field
Bioinformaticians, graduate students on bioinformatics and genetics, researchers from several biomedical areas
Chapter 1. Introduction: Seriously, What is Precision Medicine?
Chapter 2. Redefining Disease Causality
Causality and Its Paradoxes
Why We Are Confident that Diseases Develop in Steps?
Cause of Death
What Is a Disease Pathway?
Multiple Steps Lead Us to Multiple Treatment Opportunities
Does Single Event Pathogenesis Ever Happen, and Should We Care?
Chapter 3. Genetics: Clues, Not Answers, to the Mysteries of Precision Medicine
Inscrutable Disease Genes
Discovering the Complex Mechanisms of Genetic Diseases
Why a Gene-based Disease Classification Is a Bad Idea
Chapter 4. Disease Convergence
Convergence in Precision Medicine
Phenocopy Diseases: Convergence Without Mutation
The Autoimmune Phenocopies
Pathways that Converge to Common Diseases
Common Treatments for Convergent Diseases
Chapter 5. The Precision of the Rare Diseases
The Biological Differences Between Rare Diseases and Common Diseases
Why Rare Diseases Are Precisely Understood; and Common Diseases Are Not
Precision Medicine's First Benefit: Cures for Rare Diseases
What the Rare Diseases Tell Us About the Common Diseases
Treatments for Rare Diseases are Effective Against the Common Diseases
Chapter 6. Precision Organisms
Modern Taxonomy of Infectious Diseases
Our Genome Is a Book Titled "The History of Human Infections"
Revising Koch's Postulates for Precision Medicine
Inflammatory Diseases: Collateral Damage in the War on Human Infection
Chapter 7. Reinventing Diagnosis
Precision Medicine Mandates a New Classification of Disease
The Horrible Consequences of Imprecise Diagnoses
The Principles of Classification
Classifications Cannot Be Based on Similarities
Subclassifying and Superclassifying Diseases
What Is Precision Diagnosis?
Chapter 8. Precision Data
What Are the Minimal Necessary Properties of Good Data?
Identification and Time-stamping: Indispensable keys to Precision Data
What Do We Do With Non-quantitative, Descriptive Data?
Incredibly Simple Methods to Understand Precision Data
Data Reanalysis: More important than the Original Data Analysis
What Is Data Sharing, and Why Don't We Do More of It?
Chapter 9. Impersonalized Precision Medicine
The Myth of Personalized Medicine
Pharmacogenomics: A Bridge Too Far
Reinventing Clinical Trials
Impersonalized Medical Care; Searching for a Panacea
Chapter 10. The Alternate Futures of Precision Medicine
Do It Yourself Model
Public Health Model
Data Analytics Model
Global Biome Model
Animal Experimentation: New Opportunities, New Limits
- No. of pages:
- © Academic Press 2018
- 2nd April 2018
- Academic Press
- Paperback ISBN:
Jules Berman holds two bachelor of science degrees from MIT (Mathematics, and Earth and Planetary Sciences), a PhD from Temple University, and an MD, from the University of Miami. He was a graduate researcher in the Fels Cancer Research Institute, at Temple University, and at the American Health Foundation in Valhalla, New York. His post-doctoral studies were completed at the U.S. National Institutes of Health, and his residency was completed at the George Washington University Medical Center in Washington, D.C. 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 U.S. 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 the 2011 recipient of the association's Lifetime Achievement Award. He is a listed author on over 200 scientific publications and has written more than a dozen books in his three areas of expertise: informatics, computer programming, and cancer biology. Dr. Berman is currently a free-lance writer.
Ph.D., M.D., freelance author with expertise in informatics, computer programming, and cancer biology