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商品描述
This book comprehensively reviews the potential of Artificial Intelligence (AI) in biomedical research and healthcare, with a major emphasis on virology. The initial chapter presents the applications of machine learning methods for structured data, such as the classical support vector machine and neural network, modern deep learning, and natural language processing for unstructured data in biomedical research and healthcare. The subsequent chapters explore the applications of AI in tackling COVID-19, analysis of the pandemic, viral infection, disease spread, and control. The book further identifies the potential applications of machine learning in the field of virology with a focus on the key aspects of infection: diagnosis, transmission, response to treatment, and resistance. The book also discusses progress and challenges in developing viral vaccines and examines the application of viruses in translational research and human healthcare.
Furthermore, the book covers the applications of artificial intelligence-mediated diagnosis and the development of drugs to treat the disease. Towards the end, the book summarizes the ethical and legal challenges posed by AI in healthcare and biomedical research. This book is an invaluable source for researchers, medical and industry practitioners, academicians, and students exploring the applications of AI in biomedical research and healthcare.
商品描述(中文翻譯)
本書全面回顧人工智慧（AI）在生物醫學研究和醫療保健中的潛力，特別強調病毒學。第一章介紹了機器學習方法在結構化數據中的應用，例如經典的支持向量機和神經網絡、現代深度學習，以及在生物醫學研究和醫療保健中對非結構化數據的自然語言處理。隨後的章節探討了AI在應對COVID-19、疫情分析、病毒感染、疾病傳播和控制方面的應用。本書進一步確定了機器學習在病毒學領域的潛在應用，重點關注感染的關鍵方面：診斷、傳播、治療反應和抗藥性。本書還討論了開發病毒疫苗的進展與挑戰，並檢視病毒在轉化研究和人類醫療保健中的應用。
此外，本書涵蓋了人工智慧輔助診斷和開發治療疾病藥物的應用。在結尾部分，本書總結了AI在醫療保健和生物醫學研究中所帶來的倫理和法律挑戰。本書對於探索AI在生物醫學研究和醫療保健應用的研究人員、醫療和行業從業者、學術界人士及學生來說，都是一個寶貴的資源。
作者簡介
Mr. Jyotir Moy Chatterjee is currently working as an Assistant Professor in the Department of Information Technology at Lord Buddha Education Foundation, Kathmandu, Nepal. Before this, he worked as an Assistant Professor in the Department of Computer Science Engineering at G. D. Rungta College of Engineering & Technology (Chhattisgarh Swami Vivekananda Technical University), Bhilai, India. He received M. Tech in Computer Science & Engineering from Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha in 2016, and a B. Tech in Computer Science & Engineering from Dr. MGR Educational & Research Institute, Maduravoyal, Chennai in 2013. His research interests include Machine Learning & Deep Learning.
Professor (Dr.) Shailendra K. Saxena is Vice Dean and Professor at King George's Medical University, Lucknow, India. His research interests are to understand the molecular mechanisms of host defense during human viral infections and to developnew predictive, preventive, and therapeutic strategies for them using emerging and re-emerging viruses as a model, via stem cell and cell culture technologies. His research work has been published in various high-impact factor journals (Science, PNAS, Nature Medicine) with high citations. He has received many awards and honors in India and abroad including various Young Scientist Awards, the BBSRC India Partnering Award (UK), Dr. JC Bose National Award of the Department of Biotechnology, Min. of Science and Technology, Govt. of India, and Fellow of various internationally prestigious societies/academies including The Royal College of Pathologists (UK), Royal Societies of Biology and Chemistry, London, United Kingdom, Academy of Translational Medicine Professionals, Austria, Indian Virological Society, and is named as the Global Leader in Science by The Scientist magazine (USA) and International Opinion Leader/Expert involved in the vaccination for JE by IPIC (UK).
作者簡介(中文翻譯)
Mr. Jyotir Moy Chatterjee 目前在尼泊爾加德滿都的佛陀教育基金會資訊科技系擔任助理教授。在此之前，他曾在印度比萊的G. D. Rungta工程與技術學院（恰蒂斯加爾斯瓦米維韋卡南達技術大學）擔任計算機科學工程系的助理教授。他於2016年在奧里薇薩的卡林加工業技術學院（KIIT）獲得計算機科學與工程碩士學位，並於2013年在印度金奈的MGR教育與研究院獲得計算機科學與工程學士學位。他的研究興趣包括機器學習與深度學習。
教授（博士）Shailendra K. Saxena 是印度勒克瑙的喬治國王醫科大學的副院長及教授。他的研究興趣在於理解人類病毒感染期間宿主防禦的分子機制，並利用新興和再出現的病毒作為模型，通過幹細胞和細胞培養技術開發新的預測、預防和治療策略。他的研究成果已發表在多個高影響因子的期刊上（如Science、PNAS、Nature Medicine），並獲得了高引用率。他在印度及國外獲得了許多獎項和榮譽，包括各種青年科學家獎、英國BBSRC印度夥伴獎、印度政府生物技術部的JC Bose國家獎，以及各種國際知名學會/學院的院士，包括英國皇家病理學會、英國倫敦的皇家生物學會和化學學會、奧地利轉化醫學專業學院、印度病毒學會等。他被《科學家》雜誌（美國）評選為全球科學領袖，並被IPIC（英國）認定為參與日本腦炎疫苗接種的國際意見領袖/專家。
