Project Grant 2129148
- Lifespan Digital Health LLC was awarded a $255,409 Project Grant from the National Science Foundation under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) to develop bio-behavioral technology and provide mental health services. Specifically, the company will use predictive algorithms, wearable technology, and peripheral autonomic biofeedback to provide timely data and enable mental health professionals to treat students. This innovative approach aims to address the...
- This Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program provides $302,668 to Hominin.ai Inc. to develop a software system for real-time monitoring of user health through movement analysis using commercially available wireless headphones. The goal is to translate ordinary human walking patterns into movement-based biomarkers that can identify early indicators of musculoskeletal or neurological diseases, predict health...
- This federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $1,183,690.00 to The Regents of the University of California, San Francisco (UCSF) to develop personalized machine learning models that can predict adverse health events like substance use and stress-related blood pressure spikes using data from wearable devices like Fitbit and Apple Watch. The innovation of this project lies in...
- This Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides funding of $393,392.00 to Northeastern University to develop a "context-aware framework to enable effective selection and delivery of digital health interventions" using personal computing devices like smartphones and wearables. The project aims to create "smart systems" that can optimize the...
- This $997,693 Cooperative Agreement awarded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program aims to develop an interactive health assessment and monitoring platform to improve patient-provider communication and reduce healthcare costs. The project by Literaseed, Inc. integrates electronic health record (EHR) data with natural language processing (NLP) techniques to extract valuable information from medical records, enabling...
- This Project Grant award, valued at $302,293.00 and funded by the National Science Foundation (NSF) through the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to improve the understanding and design of self-experimentation technology to support personal health and well-being. The project, led by the University of Massachusetts, seeks to advance the theory and design of technologies that enable individuals to answer questions about their own health using...
- This four-year $686,879 project grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) will support the development of novel closed-loop behavioral health interventions delivered through wearable and Internet of Things devices. Specifically, the researchers at Cornell University will create three types of wearable and IoT systems using different sensory modalities like vibration, airflow, and touch to provide just-in-time interventions...
- This three-year $563,797 project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to design health data-tracking technologies tailored for children. Led by the University of California Irvine, the award supports examining challenges in tracking children's health data through smartwatches, fitness bands, and patient monitors. The project consists of three stages. First, interviews will study data literacy, tracking experiences, and...
- This is a Project Grant awarded by the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070). The $299,708 grant, with a period of performance from August 15, 2023 to July 31, 2027, supports collaborative research to develop AI-driven radio frequency identification (RFID) sensing techniques for smart health monitoring applications. The research aims to create more affordable, comfortable,...
- This Project Grant award, valued at $503,930.00 and awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070), supports the development of a wearable sensor network with distributed computing capabilities for advanced health monitoring and biomechanics analysis. The research aims to address key challenges associated with wearable technologies, such as limited computational power, battery capacity, data...
This $276,000 National Science Foundation Technology, Innovation, and Partnerships grant funds the development of a personalized consumer health guidance platform by Rift Valley Health Co. The platform will analyze an individual's sleep, exercise, nutrition, and mental health data from wearables and smart home devices to generate a baseline health profile and recommendations. Both objective biometric data and subjective user inputs will be integrated to draw meaningful correlations and develop a scoring system to improve physical and mental health outcomes. The one-year project grant will determine the viability of objectively measuring key health metrics through integrated technologies and using subjective data to create individualized health maps and identify lifestyle behaviors most beneficial or detrimental to holistic wellness. If successful, the platform aims to help people establish new habits for living longer, healthier lives with fewer health issues and costs.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $20.0k | 11/9/22 | ||
| Not listed | $256.0k | 3/23/22 |