From Algorithms to Ailments: AI in Innovative and Translational Healthcare
暫譯: 從演算法到疾病：AI在創新與轉譯醫療中的應用
Chetty, Madhu, Hallinan, Jennifer
商品描述
This book comprises eight chapters covering various aspects of healthcare. Initial chapters provide the basics of AI and molecular biology required to understand the more advanced topics. Later chapters cover key important aspects of bioinformatics such as modelling paradigms for biological processes, synthetic biology, and drug discovery, including case studies related to topics including cancer, ocular disease, and mental health. The book is relevant and timely.
Artificial Intelligence (AI) is a very promising area of research and there is considerable interest in its application to a wide range of issues in the healthcare sector. However, many users of this technology do not have a good grasp of the key underlying principles of this technology. Although there are several resources already available in this area providing necessary content, they tend to be over-simplified, and demonstrate how to use applications, rather than the underlying principles. This book is intended to contribute as both a textbook and a demonstration of the way in which the AI algorithms can be applied. It will address the drawbacks in some of the current resources, as well as emphasize the benefits of the use of AI in this important field.
商品描述(中文翻譯)
本書包含八個章節，涵蓋醫療保健的各個方面。前幾個章節提供了理解更高級主題所需的人工智慧（AI）和分子生物學的基礎知識。後面的章節則涵蓋生物資訊學的關鍵重要方面，例如生物過程的建模範式、合成生物學和藥物發現，包括與癌症、眼科疾病和心理健康等主題相關的案例研究。本書具有相關性和時效性。
人工智慧（AI）是一個非常有前景的研究領域，對其在醫療保健領域廣泛應用的興趣相當高。然而，許多使用這項技術的用戶對其關鍵的基本原則並不十分了解。儘管在這個領域已經有幾個資源提供必要的內容，但它們往往過於簡化，並展示如何使用應用程式，而不是其基本原則。本書旨在作為教科書和展示AI演算法應用方式的參考。它將解決當前一些資源的缺陷，並強調在這一重要領域中使用AI的好處。
作者簡介
Dr Madhu Chetty, as an academic at Federation University Australia, serves as Professor in Information Technology within the Institute of Innovation, Science and Sustainability (IISS), and as the Director of AI and ML Stream within Health Innovation and Transformation Centre (HITC). He has over 40 years of tertiary teaching, research, and leadership experience within Australia and overseas. He has a prolific publication record, several visiting appointments at various international universities, and has supervised over 25 doctoral students. He has been recipient of several grants and awards including Australia-India Strategic Research Fund, award for excellence in research supervision, and commendation for community engagement. He has served as general chair of IEEE international conferences, vice chair of the IEEE Victorian/Tasmanian Section, deputy head of school at Monash University Australia, and editorial board member of high impact journals.
Dr Jennifer Hallinan has degrees in both molecular biology and computer science, and combined these into a PhD in computational biology. She has researched and taught at Universities in both Australia and the United Kingdom, working on bioinformatics and synthetic biology and worked at Harvard Medical School on biological network analysis. She has authored over 60 papers published in peer-reviewed journals, and supervised over 20 PhD and Masters students. She was an advisor for three iGEM teams at Newcastle University, UK, all of which won gold medals. She is active in the IEEE, being Program Chair for the 2021 International Conference on Bioinformatics and Computational Biology, and serves as Vice-Chair for Education and Outreach of the IEEE Computational Intelligence Society.
作者簡介(中文翻譯)
馬杜·切提博士（Dr. Madhu Chetty）是澳大利亞聯邦大學（Federation University Australia）的一名學者，擔任創新、科學與可持續性研究所（Institute of Innovation, Science and Sustainability, IISS）資訊科技教授，以及健康創新與轉型中心（Health Innovation and Transformation Centre, HITC）人工智慧與機器學習領域的主任。他在澳大利亞及海外擁有超過40年的高等教育、研究和領導經驗。他的出版紀錄豐富，曾在多所國際大學擔任訪問職位，並指導超過25名博士生。他曾獲得多項獎助金和獎項，包括澳大利亞-印度戰略研究基金、卓越研究指導獎以及社區參與表彰。他曾擔任IEEE國際會議的總主席、IEEE維多利亞/塔斯馬尼亞分會的副主席、澳大利亞莫納什大學（Monash University Australia）學校副校長，以及多本高影響力期刊的編輯委員會成員。
詹妮弗·哈利南博士（Dr. Jennifer Hallinan）擁有分子生物學和計算機科學的學位，並將這兩者結合成為計算生物學的博士學位。她曾在澳大利亞和英國的多所大學進行研究和教學，專注於生物資訊學和合成生物學，並在哈佛醫學院（Harvard Medical School）從事生物網絡分析的工作。她已發表超過60篇經過同行評審的期刊論文，並指導超過20名博士和碩士生。她曾擔任英國紐卡斯爾大學（Newcastle University）三個iGEM團隊的顧問，這些團隊均獲得金獎。她在IEEE中積極參與，擔任2021年國際生物資訊學與計算生物學會議的程序主席，並擔任IEEE計算智能學會的教育與外展副主席。
