Artificial Intelligence in Genomics: Methods, Applications, and Clinical Translation
暫譯: 基因組學中的人工智慧：方法、應用與臨床轉譯

本書提供了一個全面且易於理解的探索，說明人工智慧（AI）如何改變基因組學和個人化醫療領域。本書匯集了最新的方法、工具和實際應用，使科學家和臨床醫生能夠解讀複雜的基因數據、發現致病模式並設計精準療法。內容涵蓋從深度學習和多組學整合到倫理和法規考量，該書彌合了計算創新與臨床轉化之間的鴻溝。針對研究人員、學生、醫療專業人員和生技創新者而設計，本書提供清晰的解釋、具體的案例研究，以及對人工智慧如何塑造醫療和人類健康未來的前瞻性見解。

Khalid Shaikh is the founder and CEO of Prognica Labs, a healthtech company. Prognica Labs is focused on revolutionizing the healthcare sector through artificial intelligence and advanced analytics, particularly in the early detection of diseases. His work is centered around leveraging technology to improve patient outcomes, reduce healthcare costs, and make advanced diagnostic tools more accessible to a broader population. Khalid Shaikh is serial entrepreneur, researcher, author, and business strategist. He is also a member of HBR Advisory Council and has received numerous awards for his innovations and contribution in healthcare and public health. In addition to his professional commitments, he also gives back to the aspiring entrepreneur community by serving as an advisor and mentor. He has published and lectured extensively on healthcare performance improvement, digitalization, and innovation.

Dr. Rohit Thanki is an expert in Artificial Intelligence, Medical Informatics, and Digital Health with experience in enterprise AI and Healthcare AI in India, the Middle East, and Germany. Previously, he served in a senior leadership role at KRiAN GmbH, where he developed CE-certified Software as a Medical Device (SaMD) for medical diagnostics and rehabilitation. He was also Head of Research & Development at Prognica Labs in Dubai, focusing on AI-driven breast cancer screening solutions.

Dr. Thanki holds a Ph.D. in Electronics and Communication Engineering from C. U. Shah University, India, with research on privacy-preserving multibiometric systems. He also has bachelor's and master's degrees in Electronics and Communication Engineering. His research interests include explainable AI for healthcare, medical imaging, biomedical signal processing, multimodal and generative AI systems, and regulatory-compliant clinical AI agents. He has contributed to the development of AI systems covering X-ray, CT, MRI, ultrasound, mammography, histopathology, and physiological data analysis.Dr. Thanki has taught courses in image processing, signal processing, communication systems, and VLSI as an Assistant Professor and Visiting Lecturer in India. He serves on Ph.D. examination boards and supervises postgraduate research in both India and Germany. He has published over 110 Scopus-indexed articles and 20 scholarly books, with more than 1,700 citations and a strong h-index. Dr. Thanki is a Senior Member of IEEE, an editorial board member for BMC Digital Health and PLOS One, and an active peer reviewer for leading journals.

Dr. Sejal Shah is currently serving as the Head & Associate Professor for the Department of Bioinformatics, Faculty of Engineering and Technology, Marwadi University, Rajkot. She is also serving as a Cancer Geneticist at various multispecialty hospitals in Rajkot, Gujarat. She is a visiting faculty member at IIIT Diu International Campus and Saurashtra University. She has been selected as one of the top 10 women scientists and awarded the Indo-US women in STEMM fellowship (2019) by DST, Government of India, and IUSSTF, jointly, to pursue postdoctoral research in the USA. She joined the Ohio State University to conduct research on pediatric leukemia. She was selected among 15 women scientists from across India by the DST, KIRAN division, for cancer research training held at Mysore University, Mysore, in 2018. She was also awarded the "Woman Scientist Fellow" in May 2012 under the Women Scientist Scheme-A (DST/WOS-A) of the Department of Science and Technology, New Delhi, Government of India. She has 12 years of research experience in cancer omics, biotechnology, and nanotechnology. During this period, she has been involved in teaching and cancer research. She has 8 years of teaching experience as well as industrial experience at RK University, SunPharma Baroda, and PERD centre, Ahmedabad. She and her team are currently working on oral cancer, cervical cancer, and breast cancer. She is an associate member of the American Association for Cancer Research (AACR), a life member of the European Association for Cancer Research (EACR), a scientific decoder at the COVID-19 Omics Research Consortium (CORC), and a member of the Breast Cancer Research Consortium (BCRC). She has six Indian patents to her credit. She has more than 25 publications, 8 book chapters, and 8 research projects to her credit, funded by various agencies. She is also a reviewer for various national/international journals.

Khalid Shaikh 是 Prognica Labs 的創辦人兼執行長，這是一家健康科技公司。Prognica Labs 專注於通過人工智慧和先進分析技術來革新醫療行業，特別是在疾病的早期檢測方面。他的工作重點在於利用技術改善病患的治療結果、降低醫療成本，並使先進的診斷工具能夠更廣泛地為大眾所用。Khalid Shaikh 是一位連續創業者、研究者、作家和商業策略家。他也是 HBR 諮詢委員會的成員，並因其在醫療和公共衛生領域的創新和貢獻而獲得多項獎項。除了專業承諾外，他還通過擔任顧問和導師回饋給有志於創業的社群。他在醫療績效改善、數位化和創新方面發表了大量的著作和講座。

Dr. Rohit Thanki 是人工智慧、醫療資訊學和數位健康的專家，擁有在印度、中東和德國的企業 AI 和醫療 AI 的經驗。他曾在 KRiAN GmbH 擔任高級領導職位，開發了 CE 認證的醫療器械軟體（SaMD）用於醫療診斷和康復。他還曾擔任 Prognica Labs 在杜拜的研究與開發部門負責人，專注於 AI 驅動的乳腺癌篩檢解決方案。

Dr. Thanki 擁有印度 C. U. Shah 大學的電子與通信工程博士學位，研究主題為隱私保護的多生物特徵系統。他還擁有電子與通信工程的學士和碩士學位。他的研究興趣包括醫療保健的可解釋 AI、醫學影像、生物醫學信號處理、多模態和生成 AI 系統，以及符合規範的臨床 AI 代理。他參與了涵蓋 X 光、CT、MRI、超聲波、乳腺攝影、組織病理學和生理數據分析的 AI 系統開發。Dr. Thanki 曾在印度擔任助理教授和訪問講師，教授影像處理、信號處理、通信系統和 VLSI 課程。他在印度和德國擔任博士考試委員會成員，並指導研究生研究。他已發表超過 110 篇 Scopus 索引的文章和 20 本學術書籍，引用次數超過 1,700 次，並擁有強大的 h 指數。Dr. Thanki 是 IEEE 的高級會員，BMC Digital Health 和 PLOS One 的編輯委員會成員，並且是多本領先期刊的活躍同行評審。

Dr. Sejal Shah 目前擔任 Marwadi University 工程與技術學院生物資訊學系的系主任及副教授。她同時在古吉拉特邦 Rajkot 的多專科醫院擔任癌症遺傳學家。她是 IIIT Diu 國際校區和 Saurashtra University 的訪問教員。她被選為十大女性科學家之一，並於 2019 年獲得印度政府科技部（DST）和印度美國科學與技術基金會（IUSSTF）共同頒發的印度-美國 STEMM 女性獎學金，以在美國進行博士後研究。她加入俄亥俄州立大學進行兒童白血病的研究。2018 年，她被 DST KIRAN 部門選中，參加在 Mysore 大學舉辦的癌症研究培訓，從全印度 15 位女性科學家中脫穎而出。她還於 2012 年 5 月獲得印度新德里科技部女性科學家計畫 A（DST/WOS-A）下的「女性科學家獎學金」。她在癌症組學、生物技術和納米技術方面擁有 12 年的研究經驗。在此期間，她參與了教學和癌症研究。她在 RK 大學、SunPharma Baroda 和 PERD 中心（艾哈邁達巴德）擁有 8 年的教學經驗和工業經驗。她和她的團隊目前正在研究口腔癌、子宮頸癌和乳腺癌。她是美國癌症研究協會（AACR）的副會員，歐洲癌症研究協會（EACR）的終身會員，COVID-19 組學研究聯盟（CORC）的科學解碼員，以及乳腺癌研究聯盟（BCRC）的成員。她擁有六項印度專利。她的出版物超過 25 篇，擁有 8 篇書章和 8 項研究計畫，這些計畫由各種機構資助。她也是多本國際/國內期刊的審稿人。