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"Realizing the Promise of Precision Medicine: The Role of Patient Data, Mobile Technology, and Consumer Engagement explains the potential of personalized medicine and the value of those approaches in making that potential a reality. The book helps transform one-size-fits-all healthcare into a system that focuses on individual needs and the unique needs of each family member, discussing topics such as U.S. sponsored precision medicine initiative, genomics, the role of electronic health records and mobile medicine, patient engagement and empowerment, health information exchange and patient data protection. In addition, the book discusses the barriers and limitations of precision medicine and how to overcome them. Readers will find valuable insights into how big data, patient engagement, mobile technology, and genomics help individualize medical care and offer a pathway to help detect many undiscovered causes of diseases. Provides drawings and flow charts to help readers visualize the breadth and depth of precision medicine includes sidebars with more details on specific topics for a complementary, deeper understanding of text. Uses case studies to turn abstract concepts into flesh and blood examples of how personalized medicine benefits patients"--
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This book focuses on personalized medicine in ophthalmic diseases, their challenges and opportunities, which often involves methods to achieve personalized diagnosis and treatment of ophthalmic diseases. Personalized medicine is a broadly used term to encompass approaches used to tailor healthcare to the needs of individual patients. It has been early adopted in ophthalmology and is mainly achieved through disease stratification and individualization. Therefore, diagnostic techniques that can realize comprehensive individual assessment are very important. Previous studies have put forward techniques such as next-generation sequencing and translational research. Gene therapy-based treatment trials have been presented for ophthalmic diseases such as retinitis pigmentosa and age-related macular degeneration. Recently, with the rapid development of artificial intelligence and interdisciplinary collaboration, concepts such as machine learning and wearable devices have been frequently discussed in ophthalmic research. There might be new promising methods to realize personalized ophthalmology.
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This book focuses on personalized medicine in ophthalmic diseases, their challenges and opportunities, which often involves methods to achieve personalized diagnosis and treatment of ophthalmic diseases. Personalized medicine is a broadly used term to encompass approaches used to tailor healthcare to the needs of individual patients. It has been early adopted in ophthalmology and is mainly achieved through disease stratification and individualization. Therefore, diagnostic techniques that can realize comprehensive individual assessment are very important. Previous studies have put forward techniques such as next-generation sequencing and translational research. Gene therapy-based treatment trials have been presented for ophthalmic diseases such as retinitis pigmentosa and age-related macular degeneration. Recently, with the rapid development of artificial intelligence and interdisciplinary collaboration, concepts such as machine learning and wearable devices have been frequently discussed in ophthalmic research. There might be new promising methods to realize personalized ophthalmology.
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This book focuses on personalized medicine in ophthalmic diseases, their challenges and opportunities, which often involves methods to achieve personalized diagnosis and treatment of ophthalmic diseases. Personalized medicine is a broadly used term to encompass approaches used to tailor healthcare to the needs of individual patients. It has been early adopted in ophthalmology and is mainly achieved through disease stratification and individualization. Therefore, diagnostic techniques that can realize comprehensive individual assessment are very important. Previous studies have put forward techniques such as next-generation sequencing and translational research. Gene therapy-based treatment trials have been presented for ophthalmic diseases such as retinitis pigmentosa and age-related macular degeneration. Recently, with the rapid development of artificial intelligence and interdisciplinary collaboration, concepts such as machine learning and wearable devices have been frequently discussed in ophthalmic research. There might be new promising methods to realize personalized ophthalmology.
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Precision Medicine --- Tumors --- Precision Medicine. --- Neoplasms. --- Precision medicine
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Metabolism. --- Metabolites. --- Precision medicine. --- Metabolomics --- Precision Medicine
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Precision medicine. --- Biopharmaceutics. --- Precision Medicine --- Biopharmaceutics
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The New Era of Precision Medicine: What it Means for Patients and the Future of Healthcare highlights the aspects of precision medicine in different specialties and offers an understanding of how a biological background integrates into clinical guidelines, the therapeutic efficacy of interventions, and disease prevention. The book explains how precision healthcare differs among countries, as well as how there is a collaboration among many laboratories to share resources and knowledge to advance the field across the globe. The book also discusses the cultural differences and cultural sensitivity that may be involved in the precision medicine approach. Finally, with regard to safety and quality outcomes, the book presents a range of current and possible future concerns related to those outcomes. Precision medicine is the new standard of quality healthcare delivery. It aims to optimize patient safety and clinical outcomes, enhance the efficacy of therapeutic interventions, and facilitate disease prevention, offering a way to customize patient care, decision-making, and clinical practice.
Precision Medicine. --- Precision medicine --- Social aspects.
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Precision Medicine --- Tumors --- Precision medicine --- Tumors. --- Precision Medicine. --- Neoplasms. --- Precision medicine.
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Medicine has been personal long before the concept of 'personalized medicine' became popular. Health professionals have always taken into consideration the individual characteristics of their patients when diagnosing, and treating them. Patients have cared for themselves and for each other, contributed to medical research, and advocated for new treatments. Given this history, why has the notion of personalized medicine gained so much traction at the beginning of the new millennium? 'Personalized Medicine' investigates the recent movement for patients' involvement in how they are treated, diagnosed, and medicated; a movement that accompanies the increasingly popular idea that people should be proactive, well-informed participants in their own healthcare.
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