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Implementation of Personalized Precision Medicine : Expanding the Clinical Vision Towards Prevention, Early Detection and Precision Treatment of Disease to Drive Extended Healthspan.
- Format:
- Book
- Author/Creator:
- Stanford, William P.
- Language:
- English
- Subjects (All):
- Medical care-Technological innovations.
- Medical innovations.
- Precision medicine.
- Physical Description:
- 1 online resource (448 pages)
- Edition:
- 1st ed.
- Place of Publication:
- Chantilly : Elsevier Science & Technology, 2024.
- Summary:
- Implementation of Personalized Precision Medicine: Expanding the Clinical Vision towards Prevention, Early Detection, and Precision Treatment of Disease to Drive Extended Healthspan establishes the landscape of precision medicine as it stands in relation to implementation of individualized approaches based on the patient's unique genomic and.
- Contents:
- Intro
- Implementation of Personalized Precision Medicine: Expanding the Clinical Vision Towards Prevention, Early Detection, and ...
- Copyright
- Contents
- Contributors
- Editors statement
- Chapter 1: Epigenetics and methylation risk scores
- The evolution of epigenetics in biomedical research
- DNA methylation
- Epigenetic technology and its application in health and disease
- The emerging field of methylation risk scoring
- The power of machine learning to develop predictors of disease
- ML-based development of disease classifiers in clinical medicine
- Applications in nononcological disease
- Applications in aging: The biological clock
- The clinical application of MRS in the health care setting
- Limitations, challenges, and the future of clinical adoption of MRS at the point of care
- Acknowledgments
- References
- Chapter 2: Polygenic risk scores: A conceptual overview to add PRS to your clinical toolbox
- Introduction
- Association, not causation
- Polygenic risk scores come in all sizes
- Garbage in, garbage out
- Ready for clinical use
- Better when were together
- The promise of PRS
- Chapter 3: The proteomics revolution: Forging a new path to personalized health care
- Introduction: Proteomics as ``the one ring to rule them all´´
- Why protein networks? And if they are so good, why didnt it happen earlier?
- Proving a breakthrough
- Interpreting the results: Expertise in proteomics not required
- Traditional diagnostic test development vs the new discipline
- what's the difference?
- Physiology and utility, the chicken made the egg
- Or is it that the egg made the chicken?
- Getting comfortable with the unknown
- The few vs the many
- reductive vs expansive tensions
- Eliminate the immutable
- From the vein to the lab: Abuse of blood as a living tissue.
- Why the cardio-metabolic portfolio bias? Why not cancer?
- Where can proteomics win in cancer?
- Integrated programmatic planning
- Where does it go from here? Bumps on the road to widespread adoption
- Overcoming the bias against predicting risk: Prognostic vs diagnostic
- Countering the religion about ``concentration as truth´´
- How to redefine analytic validation
- Translation into clinical utility and reimbursement by insurers
- Leading to a challenge to the diagnostics business model
- Winds in our favor-What might accelerate the impact of proteomics in personalized medicine?
- Invisible personalized medicine: Proteomics in drug development
- The future: Unsupervised learning and AI
- Conclusions
- Chapter 4: Pharmacogenetic clinical implementation
- Clinical use and considerations
- Psychiatric
- Gastrointestinal
- Cardiovascular
- Respiratory
- Multimorbidity
- Rheumatology
- Infectious disease
- The implementation of pharmacogenomics into point of care
- Challenges to implementation
- Cost savings with implementation of PGx
- Conclusion
- Chapter 5: Seeing clearly to treat precisely: Advances in molecular imaging and theranostics in precision health
- Overview
- Imaging across a range of scales
- The tools of molecular imaging
- Imaging anatomy
- Imaging cellular and molecular signatures
- Imaging metabolic markers
- Imaging cell surface markers
- Imaging immune cells for diagnosis and monitoring cellular therapeutics
- AI in molecular imaging
- Reporter genes
- Nanomedicine
- Imaging earlier in the disease course
- Chapter 6: Early quantum computing applications on the path towards precision medicine
- A quantum state of mind
- Applying quantum computing in medicine
- Genomics and clinical research
- Diagnostics.
- Treatments and interventions
- Making it practical and useful
- Chapter 7: Gene therapy: State of the art precision medicine
- Current gene therapy studies in rare diseases
- Risk factors and challenges of gene therapy
- Immune responses
- Targeting the wrong cells
- Tumor formation
- Ethical concern
- High cost of gene therapy
- Long-term impact of gene therapy
- Multifactorial diseases
- The future of gene therapy in rare disease
- Antisense oligonucleotides, small molecule drugs, and enzyme replacement therapy
- Embryo screening and prenatal gene therapy for rare diseases
- Chapter 8: Precision mitochondrial medicine: Uncovering pathways across diverse diseases
- The landscape of mitochondrial dysfunction
- Mitochondrial structure and function
- Implications of mitochondrial health in chronic diseases
- Mitochondrial myopathies
- Neurodegenerative diseases
- Alzheimer's disease
- Parkinson's disease
- Cardiovascular diseases
- Heart failure
- Atherosclerosis
- Metabolic disorders
- Type 2 diabetes
- Obesity
- Inflammatory disorders
- Rheumatoid arthritis
- Inflammatory bowel disease
- Cancer
- Altered energy metabolism
- Mitochondrial dynamics
- Apoptosis
- Genomic instability
- Rare genetic disorders
- Leigh syndrome
- Mitochondrial encephalopathy, lactic acidosis, and stroke-like episodes
- Age-related conditions
- Sarcopenia
- Age-related macular degeneration
- Autoimmune diseases
- Systemic lupus erythematosus
- Precision medicine
- Addressing current challenges in progressing precision mitochondrial medicine
- State-of-the-art technologies facilitating diagnosis of mitochondrial diseases
- References.
- Chapter 9: Antigen-specific immunotherapy: The ultimate precision medicine for the treatment of autoimmune diseases
- Self/nonself-discrimination
- Current treatments for autoimmune diseases
- Antigen-specific immune regulation for the treatment of allergy
- Lessons learned on delivery of antigens for autoimmune diseases
- Therapeutic approaches suitable for the delivery of intact antigens
- Therapeutic approaches based on T cell epitopes
- Clinical trials of immunotherapy with apitopes
- Precision medicine and antigen-specific immunotherapy
- Chapter 10: The future of precision diabetes: Digital twin
- Overview of diabetes: Prevalence and global impact
- Biomarkers in diabetes: Current landscape
- Digital twin technology in diabetes management
- Digital twin technology overview
- Artificial intelligence in diabetes management
- Machine learning and healthcare sensor data
- Whole body digital twin technology
- Predictor implementation
- Sensors and data collection
- Twin app for personalized recommendations
- Operation and support
- Patent and operationalization
- Data correlation and recommendations
- Glycemic improvements
- MAFLD improvement
- Cardiovascular improvements
- Improvements in complications
- Additional improvements
- Measures of success and future consolidation
- Consolidating gains in future diabetes management
- Continuous monitoring and feedback
- Dynamic adjustments and early interventions
- Patient education and engagement
- Integration of advanced technologies
- Research and development
- Future directions in diabetes prevention and reversal
- Chapter 11: Precision oncology: Indications and challenges in the implementation of high-throughput sequencing in clinica ...
- Introduction.
- Precision medicine studies in pan-cancer indications
- Molecular tumor board: Definition and objectives
- Levels of actionability of molecular alterations
- High-throughput sequencing: Clinical applications
- Challenges in interpreting NGS
- Challenges in implementing NGS on a large-scale basis
- Integration of big data in clinical practice: future perspectives
- Annex 1: Case studies
- Chapter 12: Bringing ``precision´´ to psychiatry: Challenges and promises
- Identification of etiological risk factors
- Identification of biological mechanisms underlying etiological risk factors using model systems
- Human brain imaging and integration with genetic information
- Drug discovery efforts and integration of genetic information
- Artificial intelligence (AI) in the implementation of precision psychiatry
- Chapter 13: Precision medicine in cardiovascular disease
- Precision in cholesterol/atherosclerosis/coronary artery disease
- Hypertensive heart disease
- Cardiomyopathy/arrhythmias
- The return to precision and personalization
- Precision medicine in cardiovascular disease
- Coronary artery disease (CAD)
- Myocardial infarction (MI)
- Hypertension
- Advancements in technology provide the road to prevention
- The specific case for type 2 diabetes
- Chapter 14: Precision bone health: Genetic testing for low bone density
- Osteoporosis is a major health concern
- Bone growth is dynamic
- How osteoporosis is diagnosed
- Most cases of osteoporosis are undiagnosed
- Genetic studies on bone mineral density and osteoporosis
- Polygenic risk scores for BMD and osteoporosis
- DNA testing to diagnose and treat osteoporosis
- The future: P4 medicine for osteoporosis
- Chapter 15: Functional nutrigenomics: A personalized shift in treating inflammation.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 0-323-97276-4
- OCLC:
- 1474242109
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