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 mechanisms

In 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.

Sun-Chong Wang, Ph.D., Professor of the Department of Biomedical Sciences and Engineering, National Central University, Taiwan. Dr. Wang earned his Ph.D. in physics from New York University, turned to bioinformatics and specializes in epigenomics, herbalism, and deep learning. He has peer-reviewed publications in prestigious journals including Nature Genetics, Nature Chemical Biology, Nature Structural and Molecular Biology, Nature Communications, Biological Psychiatry, Genome Biology and Physical Review Letters. He has contributed packages to R archive and Bioconductor. He is the author of six books in Amazon and two Android apps in Google Play.

Meng Hua Chen, member of Australia Acupuncture and Chinese Medicine Association (https://www.acupuncture.org.au). Dr. Chen is a dedicated and highly accomplished Chinese Medicine practitioner with over three decades of experience. He possesses a Bachelor of Medical Science in Chinese Medicine from Guangzhou University of Chinese Medicine, China, and a Ph.D. in Complementary Medicine from RMIT University, Australia. He demonstrates expertise in Chinese herbal medicine, acupuncture, and holistic health consultation, providing integrative care to patients. He also publishes research works to esteemed international scientific journals, contributing to the advancement of complementary medicine.