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Devoted to the topic of data specification (including data organization, data description, data retrieval and data sharing) in the life sciences and in medicine.
Preface.
Chapter 1. Introduction: Seriously, What is Precision Medicine?
Glossary
References
Chapter 2. Redefining Disease Causality
Section 2.1 Causality and Its Paradoxes
Section 2.2 Why We Are Confident that Diseases Develop in Steps
Section 2.3 Cause of Death
Section 2.4 What Is a Disease Pathway?
Section 2.5 Does Single Event Pathogenesis Ever Happen?
Glossary
References
Chapter 3. Genetics: Clues, Not Answers, to the Mysteries of Precision Medicine
Section 3.1 Inscrutable Genes
Section 3.2 Inscrutable Diseases
Section 3.3 Recursive Epigenomic/Genomic Diseases
Section 3.4 Why a Gene-based Disease Classification Is a Bad Idea
Glossary
References
Chapter 4. Disease Convergence
Section 4.1 Mechanisms of Convergence
Section 4.2 Phenocopy Diseases: Convergence Without Mutation
Section 4.3 The Autoantiramthoughts Phenocopies
Section 4.4 Pathway-Directed Treatments for Convergent Diseases
Glossary
References
Chapter 5. The Precision of the Rare Diseases
Section 5.1 The Biological Differences Between Rare Diseases and Common Diseases
Section 5.2 Precision Medicine's First Benefit: Cures for Rare Diseases
Section 5.3 What the Rare Diseases Tell Us About the Common Diseases
Section 5.4 Treatments for Rare Diseases are Effective Against the Common Diseases
Glossary
References
Chapter 6. Precision Organisms
Section 6.1 Modern Taxonomy of Infectious Diseases
Section 6.2 Our Genome Is a Book Titled "The History of Human Infections"
Section 6.3 Inflammatory Diseases: Collateral Damage in the War on Human Infection
Section 6.4 Revising Koch's Postulates in the Era of Precision Diagnostics
Section 6.5 Diseases-in-waiting
Section 6.6 Precision Taxonomy
Glossary
References
Chapter 7. Reinventing Diagnosis
Section 7.1 The Principles of Classification
Section 7.2 Superclasses
Section 7.3 Classifications Cannot Be Based on Similarities
Section 7.4 The Horrible Consequences of Class Blending
Section 7.5 What Is Precision Diagnosis?
Glossary
References
Chapter 8. Precision Data
Section 8.1 What Are the Minimal Necessary Properties of Good Data?
Section 8.2 Data Identification and Data Deidentification
Section 8.3 What Do We Do With Non-quantitative, Descriptive Data?
Section 8.4 Incredibly Simple Methods to Understand Precision Medicine Data
Section 8.5 Data Reanalysis: More important than the Original Data Analysis
Section 8.6 What Is Data Sharing, and Why Don't We Do More of It?
Glossary
References
Chapter 9. The Alternate Futures of Precision Medicine
Section 9.1 Hypersurveillance
Section 9.2 Do It Yourself Medicine
Section 9.3 Eugenics
Section 9.4 Public Health
Section 9.5 The Data Analyst of Tomorrow
Section 9.6 Fast, Cheap, Precise Clinical Trials
Section 9.7 Animal Experimentation
Glossary
References
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