Conference: INTERNATIONAL SUMMER SCHOOL ON DATA SCIENCE AND ENGINEERING IN HEALTHCARE, MEDICINE AND BIOLOGY, JUNE 4 -10, 2023, CRETE, GREECE:

过去几十年来，工程和技术的创新极大地促进和推进了科学发现。 这些创新不仅速度快，而且提高了医疗保健的质量并降低了成本，并激发了精准医疗等新的研究领域。 此外，这些科学发现揭示了医学和工程学研究人员之间加强合作的重要性，以解决医疗保健中出现的问题和障碍，最值得注意的是，开发新的教育方向，将医学科学和工程概念转化为课程和临床研究，为下一代全球医疗保健劳动力做好准备。一年一度的国际暑期学校 BIO-X 系列于 2001 年启动，旨在让本科生和研究生在令人兴奋的国际、协作和跨学科环境中接触这些新的研究领域。 根据这一计划，今年/第 20 届暑期学校将于 2023 年 6 月 4 日至 10 日在希腊克里特岛举行，共有 30 名本科生和研究生以及 10 名教职人员参加，其重点是数据科学，它有能力推动医疗保健和医学领域的关键问题，并利用支持机器学习 (ML) 和人工智能的工具、技术和理论基础，阐明健康和疾病的生物学基础。 （人工智能）从大型复杂的数据集中提取“知识”。 NSF 资金将用于支持参加会议的美国学生的住宿、膳食和机票费用。 近几十年来，工程和技术创新迅速发展，提高了质量并降低了健康成本，并激发了新的研究领域，进一步为全球医疗保健做出贡献。 这个国际暑期学校将专注于数据科学，有时被定义为“一个结合了领域专业知识、编程技能以及数学和统计学知识以从数据中提取有意义的见解的研究领域”。 机器学习 (ML) 和人工智能 (AI) 已经在许多健康相关领域取得了重大成功，包括医学图像分类、分割、预测和决策。 该暑期学校旨在强调和讨论医疗保健、医学和生物学领域数据科学创新的挑战和机遇，以及如何将这些创新转化为尖端的医疗保健和生物医学工程课程。 由 10 名具有不同背景（数据科学、生物学、工程学、数学、计算机科学等）的教职人员（美国、德国、以色列、新加坡和英国）组成的国际小组将进行讲座并参加小组讨论，学生将积极参与其中。 为了说明他们自己的研究，学生参与者将提供可以在整个会议期间审查和讨论的海报。 小组讨论还将重点关注在医疗保健、医学和生物学等快速发展的跨学科数据科学领域开展职业生涯所面临的挑战，从被聘为团队的一员、寻找令人兴奋的新研究机会，一直到成为团队领导者，以及在组织团队和选择成员时需要注意的事项。 将讨论国际及美国境内高年级本科生和研究生的学习和研究以及国际研究人员和学生之间的合作的选择。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

Innovations in engineering and technology have significantly promoted and advanced scientific discoveries over the last few decades. These innovations have not only been rapid, but have also increased the quality and reduced the cost of healthcare and inspired new research areas, such as precision medicine. Additionally, these scientific discoveries reveal the importance of increased collaboration between researchers in medicine and engineering to address the problems and obstacles that arise in health care, and, most notably, for the development of new education directions to translate medical science and engineering concepts into curriculums and clinical research for the preparation of the next generation global healthcare workforce. The annual International Summer School BIO-X series, which was initiated in 2001, was designed to expose undergraduate and graduate students to these new research areas in an exciting international, collaborative, and interdisciplinary setting. In keeping with this plan, the focus of this year’s/the 20th summer school, which will be held June 4-10, 2023, Crete, Greece, with the participation of 30 undergraduate and graduate students and 10 faculty members, is on Data Science, which has the power to move the needle on critical issues in healthcare and medicine and shed light on the biological basis of health and disease using the tools, techniques, and theoretical underpinnings for enabling machine learning (ML) and artificial intelligence (AI) to extract “knowledge” from large and complex data sets. NSF funds will be used to support lodging, meal, and flight costs of U.S. students attending the conference. In recent decades, engineering and technological innovations have been rapid, increased the quality and reduced the cost of health and inspired new research areas to further contribute to global health care. This international summer school will focus on Data Science, sometimes defined as “a field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data." Machine Learning (ML) and Artificial intelligence (AI) have already led to significant successes in many health-related fields, including medical image classification, segmentation, prediction, and decision making. The summer school aims to highlight and discuss the challenges and opportunities of Data Science innovations in healthcare, medicine, and biology and how these innovations can be translated into cutting-edge healthcare and biomedical engineering curricula. An international group of 10 faculty members (U.S., Germany, Israel, Singapore, and England) with diverse backgrounds (Data Science, biology, engineering, math, computer science, etc.) will give lectures and take part in panel discussions in which students are active participants. To illustrate their own research, student participants will provide posters that can be reviewed and discussed throughout the meeting. The panels will also focus on the challenges of making a career in the rapidly growing, interdisciplinary fields of Data Science in healthcare, medicine, and biology, from being hired as part of a team and finding exciting new research opportunities all the way up to becoming a team leader and what to look for when organizing that team and choosing its members. Options will be discussed for senior undergraduate and graduate studies and research internationally as well as within the U.S. and for collaboration among researchers and students internationally.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.