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

NSF 研讨会：可重构传感器系统与人工智能和数据利用相结合，实现个性化医疗

• 批准号: 1842348
• 负责人: Michael Daniele
• 金额: $ 5.95万
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-15 至 2019-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1842348&HistoricalAwards=false
• 关键词: NSF; Workshop; Reconfigurable; Sensor; Systems

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.

该项目将召集为期两天的研讨会，由工程，数据科学，计算机科学，生物学和行为科学专家论坛参加，以探索最先进的传感器和系统硬件的需求，这些硬件整合了高级数据科学和计算能力。该研讨会将重点放在与医学应用有关的新硬件开发的差距和机会上。研讨会的产品将是一份报告，提供了一个技术路线图，该报告定义了在传感器硬件，数据科学和计算机科学界面上弥合差距的关键需求。 智能，互动和网络传感器系统是生物技术景观的越来越多的一部分，尤其是在可穿戴，可植入和使用点生物传感器的领域。这个多页研讨会的重点是确定未来的策略，以通过将硬件与数据利用，实时学习和人工智能功能集成到可重构传感器系统的基本理解和工程。具体而言，该研讨会将定义可重新配置的传感器系统在理解人类生理学，病理生理学，元认知，认知和行为心理学方面的应用方面的最新，必要的创新以及未来的挑战。为了实现这一能力，该研讨会旨在将硬件，理论模型，方法和流程以及来自多个学科的数据汇集在一起​​，以开发新的平台来应对人类景观-DATA界面的挑战。该奖项反映了NSF的法规使命，并被认为是通过基金会的知识优点和广泛的范围来评估的，并且值得通过评估来进行评估。