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Many rare diseases are genetic and lack effective cures. Herbal medicine, developed by ancient healers without the benefit of modern cell biology knowledge, focuses on alleviating symptoms associated with uncommon conditions. Herbal Medicine for Rare Diseases: Alleviating Symptoms by GMP Herbal Formulations adopts an herbal medicine approach to addressing signs and symptoms of rare diseases.
Each herb possesses a multitude of compounds that allow it to treat various conditions, while a single condition can often be addressed by several different herbs, illustrating complex relationships that artificial intelligence (AI) excels at deciphering. The herbal prescriptions in this book are generated using AI models, trained on a decade''s worth of medical insurance data from Taiwan, featuring the use of Good Manufacturing Practice (GMP)-certified traditional Chinese medicine (TCM) products. The connection between deep learning and big data ensures that the trained AI model represents the collective wisdom of ~5,000 herbal medical doctors in Taiwan who contributed to the training data.
Features
Prescribes granulated herbal products sourced from GMP-certified manufacturers to ensure quality and safety Provides precise dosage information for the GMP herbal products in every prescription Includes a wealth of common and alternative herbal prescriptions tailored for specific conditions or combinations thereof Cites evidence from preclinical and clinical studies of the herb and formula to offer insights into their efficacy and mechanismsIn each section Herbal Medicine for Rare Diseases: Alleviating Symptoms by GMP Herbal Formulations, AI-generated prescriptions are meticulously annotated with evidence from modern pharmacological and phytochemical studies of the herbs and multi-herb formulas included in the prescriptions. This book is beneficial for health professionals and practitioners, particularly those who specialise in complementary, alternative, and herbal medicine.
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Many rare diseases are genetic and lack effective cures. Herbal medicine, developed by ancient healers without the benefit of modern cell biology knowledge, focuses on alleviating symptoms associated with uncommon conditions. Herbal Medicine for Rare Diseases: Alleviating Symptoms by GMP Herbal Formulations adopts an herbal medicine approach to addressing signs and symptoms of rare diseases.
Each herb possesses a multitude of compounds that allow it to treat various conditions, while a single condition can often be addressed by several different herbs, illustrating complex relationships that artificial intelligence (AI) excels at deciphering. The herbal prescriptions in this book are generated using AI models, trained on a decade''s worth of medical insurance data from Taiwan, featuring the use of Good Manufacturing Practice (GMP)-certified traditional Chinese medicine (TCM) products. The connection between deep learning and big data ensures that the trained AI model represents the collective wisdom of ~5,000 herbal medical doctors in Taiwan who contributed to the training data.
Features
Prescribes granulated herbal products sourced from GMP-certified manufacturers to ensure quality and safety Provides precise dosage information for the GMP herbal products in every prescription Includes a wealth of common and alternative herbal prescriptions tailored for specific conditions or combinations thereof Cites evidence from preclinical and clinical studies of the herb and formula to offer insights into their efficacy and mechanismsIn each section Herbal Medicine for Rare Diseases: Alleviating Symptoms by GMP Herbal Formulations, AI-generated prescriptions are meticulously annotated with evidence from modern pharmacological and phytochemical studies of the herbs and multi-herb formulas included in the prescriptions. This book is beneficial for health professionals and practitioners, particularly those who specialise in complementary, alternative, and herbal medicine.
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Books on computation in the marketplace tend to discuss the topics within specific fields. Many computational algorithms, however, share common roots. Great advantages emerge if numerical methodologies break the boundaries and find their uses across disciplines. Interdisciplinary Computing In Java Programming Language introduces readers of different backgrounds to the beauty of the selected algorithms. Serious quantitative researchers, writing customized codes for computation, enjoy cracking source codes as opposed to the black-box approach. Most C and Fortran programs, despite being slightly faster in program execution, lack built-in support for plotting and graphical user interface. This book selects Java as the platform where source codes are developed and applications are run, helping readers/users best appreciate the fun of computation.
Interdisciplinary Computing In Java Programming Language is designed to meet the needs of a professional audience composed of practitioners and researchers in science and technology. This book is also suitable for senior undergraduate and graduate-level students in computer science, as a secondary text.
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