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Find similar grantsMultimodal Sensor Systems for Precision Health Enabled by Data Harnessing, Artificial Intelligence, and Learning (SenSE) is sponsored by National Science Foundation (NSF). Supports development of multimodal sensing systems for precision health, including wearable devices for health monitoring.
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Multimodal Sensor Systems for Precision Health Enabled by Data Harnessing, Artificial Intelligence, and Learning (SenSE) | NSF - U.S. National Science Foundation Multimodal Sensor Systems for Precision Health Enabled by Data Harnessing, Artificial Intelligence, and Learning (SenSE) Archived funding opportunity This document has been archived.
Important information for proposers and award recipients All proposals must be submitted in accordance with the requirements specified in the funding opportunity and in the Proposal & Award Policies & Procedures Guide (PAPPG) and its supplements . All NSF grants and cooperative agreements are subject to the applicable set of NSF award terms and conditions . NSF has updated its research security policies for NSF funded projects.
Supports teams of computer and mathematical scientists and engineers using multimodal sensor systems — enabled by data harnessing, artificial intelligence, real-time learning and decision-making capabilities — to address precision health challenges.
The National Science Foundation (NSF) through its Divisions of Electrical, Communications and Cyber Systems (ECCS); Chemical, Bioengineering, Environmental and Transport Systems (CBET); Civil, Mechanical and Manufacturing Innovation (CMMI); Information and Intelligent Systems (IIS); and Mathematical Sciences (DMS) announces a solicitation on Multimodal Sensor Systems for Precision Health enabled by Data Harnessing, Artificial Intelligence (AI), and Learning.
Next-generation multimodal sensor systems for precision health integrated with AI, machine learning (ML), and mathematical and statistical (MS) methods for learning can be envisioned for harnessing a large volume of diverse data in real time with high accuracy, sensitivity and selectivity, and for building predictive models to enable more precise diagnosis and individualized treatments.
It is expected that these multimodal sensor systems will have the potential to identify with high confidence combinations of biomarkers, including kinematic and kinetic indicators associated with specific disease and disability.
This focused solicitation seeks high-risk/high-return interdisciplinary research on novel concepts, innovative methodologies, theory, algorithms, and enabling technologies that will address the fundamental scientific issues and technological challenges associated with precision health.
Awards made through this program Browse projects funded by this program Map of recent awards made through this program Directorate for Engineering (ENG) Division of Electrical, Communications and Cyber Systems (ENG/ECCS) Division of Civil, Mechanical and Manufacturing Innovation (ENG/CMMI) Division of Chemical, Bioengineering, Environmental and Transport Systems (ENG/CBET) Directorate for Mathematical and Physical Sciences (MPS) Division of Mathematical Sciences (MPS/DMS) Directorate for Computer and Information Science and Engineering (CISE) Division of Information and Intelligent Systems (CISE/IIS)
According to the current listing, eligibility includes: Academic institutions, non-profit organizations, and other entities conducting sensor systems research. Confirm the full requirements in the official notice before applying.
Multimodal Sensor Systems for Precision Health Enabled by Data Harnessing, Artificial Intelligence, and Learning (SenSE) is funded by National Science Foundation (NSF). Verify program details on the funder's official page before applying.
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