I-Corps: Network-based artificial intelligence (AI) model that will enable rapid and detailed diagnosis and treatment recommendations for advanced cardiac disease patients

I-Corps：基于网络的人工智能（AI）模型，将为晚期心脏病患者提供快速、详细的诊断和治疗建议

• 批准号: 2120858
• 负责人: Martin Cadeiras
• 金额: $ 5万
• 依托单位: University of California-Davis
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-02-15 至 2022-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2120858&HistoricalAwards=false
• 关键词: Corps; Network; based; artificial; intelligence

The broader impact/commercial potential of this I-Corps project is the development of digital interventions to detect and deliver early treatment recommendations for advanced cardiac disease. Through the use of artificial intelligence, it is possible address one of the most pressing healthcare burdens in the United States by detecting trajectories of chronic heart disease early. As a result, this technology would enable multiple applications including, but not limited to, reductions in healthcare-related costs, chronic disease burden, specialist care gaps, and time to treatment. This proposed technology may deliver a new era of software as a digital therapeutic, an area traditionally reserved for non-chronic conditions. This I-Corps project is based on the development of a software platform using neural network models that leverage the use of biomarkers coupled with clinical vitals. Combining molecular and clinical data applied through natural experimentation, has made it is possible to understand the state changes of heart disease. Through the use of deep neural network learning, the proposed project goal is to make algorithms think and understand as humans by replicating the human brain connection and focusing on learning state changes rather than task-specific algorithms. Previous work on molecular profiling paired with clinical data within the realm of heart transplantation has yielded promising results in creating new sub-diagnosis as well as new artificial intelligence-guided therapy optimization protocols.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I-Corps项目的更广泛的影响/商业潜力是开发数字干预措施，以检测和提出早期治疗建议。通过使用人工智能，可以通过早期检测到慢性心脏病的轨迹来解决美国最紧迫的医疗保健负担之一。结果，这项技术将实现多种应用，包括但不限于减少与医疗保健相关的成本，慢性病负担，专业护理差距和治疗时间。这项提出的技术可能会提供一个新的软件时代作为数字治疗的新时代，该领域传统上是为非少气体条件保留的。 这个I-Corps项目基于使用神经网络模型开发软件平台，该模型利用了生物标志物的使用以及临床生命力的使用。结合通过自然实验应用的分子和临床数据，使您可以了解心脏病的状态变化。通过使用深度神经网络学习，提出的项目目标是通过复制人脑的联系并专注于学习状态而不是特定于任务的算法来使算法思考和理解为人类。以前关于分子分析的工作与心脏移植领域内的临床数据相结合，在创造新的亚诊断以及新的人工智能指导的治疗优化方案方面取得了令人鼓舞的结果。该奖项反映了NSF的法定任务，并通过该基金会的知识分子的优点和广泛的影响来评估NSF的法定任务，并被认为是值得的支持。