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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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