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

在过去的几十年里，工程和技术的创新极大地促进和推进了科学发现。这些创新不仅快速，而且还提高了医疗保健的质量，降低了成本，并启发了新的研究领域，如精准医学。此外，这些科学发现揭示了加强医学和工程学研究人员之间合作的重要性，以解决医疗保健中出现的问题和障碍，最值得注意的是，制定新的教育方向，将医学和工程学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一个令人兴奋的国际、合作和跨学科的环境中接触到这些新的研究领域。根据这一计划，今年/第20届暑期班将于2023年6月4日至10日在希腊克里特岛举行，30名本科生和研究生以及10名教职员工参加，重点是数据科学，它具有在医疗保健和医学的关键问题上取得进展的能力，并使用使机器学习(ML)和人工智能(AI)能够从大型且复杂的数据集中提取“知识”的工具、技术和理论基础来阐明健康和疾病的生物学基础。NSF的资金将用于支付参加会议的美国学生的住宿、餐饮和机票费用。近几十年来，工程和技术创新迅速，提高了卫生质量，降低了卫生成本，并激励新的研究领域进一步为全球卫生保健做出贡献。这个国际暑期班将专注于数据科学，有时被定义为“一个结合领域专业知识、编程技能以及数学和统计知识的研究领域，从数据中提取有意义的见解。”机器学习(ML)和人工智能(AI)已经在许多与健康相关的领域取得了巨大的成功，包括医学图像分类、分割、预测和决策。暑期班旨在突出和讨论数据科学创新在医疗保健、医学和生物学领域的挑战和机遇，以及如何将这些创新转化为尖端医疗保健和生物医学工程课程。一个由10名教职员工(美国、德国、以色列、新加坡和英国)组成的国际小组，他们具有不同的背景(数据科学、生物、工程、数学、计算机科学等)将讲课和参加小组讨论，学生是积极的参与者。为了说明他们自己的研究，学生参与者将提供海报，这些海报可以在整个会议期间进行审查和讨论。小组还将重点讨论在医疗保健、医学和生物领域快速增长的跨学科数据科学领域发展职业生涯的挑战，从受聘为团队成员，找到令人兴奋的新研究机会，一直到成为团队负责人，以及在组织团队和选择成员时应该寻找什么。该奖项反映了NSF的法定使命，通过使用基金会的学术价值和更广泛的影响审查标准进行评估，被认为是值得支持的。

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.