Artificial Intelligence and Autoimmune Diseases: Applications in the Diagnosis, Prognosis, and Therapeutics
Raza, Khalid, Singh, Surender
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商品描述
The book provides an overview of various autoimmune disorders and how artificial intelligence (AI) and machine learning will be used for the diagnosis, prognosis, and treatment of these disorders. AI algorithms are used to create synthetic patient populations with the properties of actual patient cohorts, build personalized predictive models of drug combinations and unravel complex relationships between diet, microbiome, and genetic line-up to determine the comparative treatment response. The book highlights clinical applications and challenges of AI for the diagnosis and treatment/management of autoimmune disorders which includes Rheumatoid Arthritis (RA), Multiple Sclerosis (MS), Type I Diabetes, Psoriatic Arthritis (PsA), and other critical diseases.
商品描述(中文翻譯)
這本書提供了各種自體免疫性疾病的概述,以及人工智慧(AI)和機器學習在這些疾病的診斷、預後和治療中的應用。AI演算法被用來創建具有實際患者群體特性的合成患者群體,建立個性化的藥物組合預測模型,並解開飲食、微生物群和基因組之間的複雜關係,以確定比較性治療反應。該書強調了AI在自體免疫性疾病診斷和治療/管理中的臨床應用和挑戰,包括類風濕性關節炎(RA)、多發性硬化症(MS)、1型糖尿病、乾癬性關節炎(PsA)和其他重要疾病。
作者簡介
Dr. Khalid Raza is an Associate Professor at the Department of Computer Science, Jamia Millia Islamia (Central University), New Delhi, India. He has also served as the ICCR Chair Visiting Professor at the Faculty of Computer & Information Sciences, Ain Shams University, Cairo, Egypt. Dr. Raza has over 13 years of teaching and research experience. He has contributed over 110 peer-reviewed research articles in refereed international journals, conference proceedings, and book chapters. Dr. Raza has authored/edited 7 Books published by reputed publishers like Springer-Nature, Elsevier, and CRC Press. Dr. Raza is an Academic Editor of PeerJ Computer Science, and Guest Editor of the Journal Natural Product Communications. He has active collaborations with scientists from leading institutions in India and abroad. He has received grants for two Govt. funded research projects and worked as Principal Investigator. Dr. Raza has delivered several keynote addresses, invited talks, public lectures, and seminars at National and International conferences and workshops, and chaired technical sessions at various National and International conferences. Dr. Raza has been featured in the list of the World's Top 2% Scientists released by Stanford University (USA) in collaboration with Elsevier for two consecutive years 2021 and 2022. He is a Life Member of the Computer Society of India (CSI) and Soft Computing Research Society, and a Regular Member of Machine Intelligence Research (MIR) Lab, USA.
Dr. Surender Singh is Professor at the Department of Pharmacology, All India Institute of Medical Sciences (AIIMS), New Delhi, India. Dr. Singh has teaching and research experience of more than 30 years. He is Fellow of National Academy of Medical Sciences (FAMS), India, Fellow of Royal Society of Chemistry (FRSC), UK, Fellow of International Medical Science Academy (FIMSA), India, Fellow of Institution of Chemists (FIC), India, Fellow of International Council of Ayurveda (FICA), India, Member of New York Academy of Sciences, USA, and D.Sc. (Honoris Causa), Colombo, Sri Lanka. Dr. Singh has published over 150 Research Papers, authored/edited over 10 Books and Scientific Series, guided over 65 theses (MD, MDS, M Pharm, MSc, PhD, PDF), and completed over 35 research projects funded by various finding agencies including ICMR, DBT, AIIMS, AYUSH, Govt. of India. His research interest lies in autoimmune diseases, and AI applications in autoimmune diseases.作者簡介(中文翻譯)
卡立德·拉扎博士是印度新德里詹米亞·米利亞·伊斯蘭大學(中央大學)計算機科學系的副教授。他還曾擔任埃及開羅阿因沙姆斯大學計算機與信息科學學院的ICCR主席訪問教授。拉扎博士擁有超過13年的教學和研究經驗。他在國際期刊、會議論文和專書章節中發表了超過110篇同行評審的研究文章。拉扎博士還撰寫/編輯了7本由Springer-Nature、Elsevier和CRC Press等知名出版商出版的書籍。拉扎博士是PeerJ計算機科學的學術編輯,並擔任《天然產物通訊》期刊的客座編輯。他與印度和國外領先機構的科學家有著積極的合作關係。他獲得了兩項政府資助的研究項目的資助並擔任首席調查員。拉扎博士在國內外的國家和國際會議和研討會上發表了多次主題演講、邀請演講、公開講座和研討會,並主持了各種國家和國際會議的技術會議。拉扎博士連續兩年(2021年和2022年)入選由斯坦福大學(美國)與Elsevier合作發布的全球頂尖2%科學家名單。他是印度計算機學會(CSI)和軟計算研究學會的終身會員,也是美國機器智能研究(MIR)實驗室的常規會員。
蘇倫德爾·辛格博士是印度新德里全印度醫學科學研究所(AIIMS)藥理學系的教授。辛格博士擁有超過30年的教學和研究經驗。他是印度國家醫學科學院(FAMS)的院士,英國皇家化學學會(FRSC)的院士,國際醫學科學學院(FIMSA)的院士,印度化學學會(FIC)的院士,印度國際阿育吠陀委員會(FICA)的院士,紐約科學院的會員,以及斯里蘭卡科倫坡大學的榮譽博士(D.Sc.)。辛格博士發表了150多篇研究論文,撰寫/編輯了10多本書籍和科學系列,指導了65多個論文(MD、MDS、M Pharm、MSc、PhD、PDF),並完成了由ICMR、DBT、AIIMS、AYUSH和印度政府等各種資助機構資助的35多個研究項目。他的研究興趣包括自身免疫性疾病和自動化應用在自身免疫性疾病中的應用。