NSF Workshop on Reconfigurable Sensor Systems Integrated with Artificial Intelligence and Data Harnessing to Enable Personalized Medicine

该项目将召开一个为期两天的研讨会，由工程、数据科学、计算机科学、生物和行为科学方面的专家参加，以探索将先进的数据科学和计算能力相结合的下一代传感器和系统硬件的最新技术和需求。研讨会将重点讨论与医学应用相关的新硬件开发的差距和机会。研讨会的产品将是一份报告，其中提供了一份技术路线图，其中定义了弥合传感器硬件、数据科学和计算机科学之间的差距的关键需求。智能化、互动式和网络化的传感器系统在生物技术领域越来越重要，尤其是在可穿戴、可植入和使用点生物传感器领域。这个多阶段研讨会的重点是确定未来的战略，通过将硬件与数据处理、实时学习和人工智能功能相结合，促进对可重构传感器系统的基本理解和工程设计。具体地说，本次研讨会将定义可重构传感器系统的研究和开发所面临的最新、必要的创新和未来的挑战，以应用于理解人类生理学、病理生理学、元认知、认知和行为心理学。为了实现这一能力，本次研讨会旨在汇集硬件、理论模型、方法和流程方面的知识，以及来自多个学科的数据，以开发新的平台来应对人-设备-数据界面的挑战。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

This project is to convene a 2-day workshop, attended by a forum of experts in engineering, data science, computer science, biological and behavioral sciences, to explore the state-of-the art and the needs for the next-generation of sensors and systems hardware that integrate advanced data science and computing capabilities. The workshop will focus on the gaps and opportunities for new hardware development as it relates to applications in medicine. The products of the workshop will be a report which provides a technological roadmap that defines the critical needs to bridge the gaps at the interface of sensor hardware, data science, and computer science. Intelligent, interactive, and networked sensor systems are a growing part of the biotechnological landscape, especially in the area of wearable, implantable, and point-of-use biosensors. The focus of this multi-phased workshop is to determine future strategies for advancing the fundamental understanding and engineering of reconfigurable sensor systems by integrating hardware with data harnessing, real-time learning, and artificial intelligence capabilities. Specifically, this workshop will define the state-of-the-art, necessary innovations, and future challenges facing the research and development of reconfigurable sensor systems for applications in understanding of human physiology, pathophysiology, metacognition, cognition, and behavioral psychology. To achieve this capability, this workshop aims to bring together the knowledge in hardware, theoretical models, methods and processes, and data from multiple disciplines to develop new platforms for addressing challenges at the human-device-data interface.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.