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...
The National Science Foundation awarded $276,000 under the Technology, Innovation, and Partnerships federal grant program to Oneseventeen Media PBC for its SBIR Phase I project titled "An Intelligent Mental Health Care Companion for Kids." The project aims to develop a mobile-accessed system leveraging machine learning and cognitive behavioral therapies to detect and triage symptoms of loneliness, anger, anxiety, and depression in children ages 10-18. The system will utilize chatbots...
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 $412,423 project grant from the National Science Foundation's Computer and Information Science and Engineering program will fund the development of novel closed-loop behavioral health interventions at the University of Chicago from September 2022 through July 2026. The university researchers will create three types of wearable and Internet of Things systems delivering sensory interventions for mental health issues like substance cravings, workplace stress, and social stress. The...
This Small Business Innovation Research Phase I Project Grant from the National Science Foundation's Technology, Innovation, and Partnerships program seeks to develop a digital mental health platform for children and adolescents. Awarded on July 15, 2022 for $275,932, the grant supports Bluewonder Creative Inc. to build a proof-of-concept platform leveraging technologies including natural language processing, machine learning, and chatbots. The platform aims to provide personalized mental and...
The National Science Foundation awarded a $256,000 Small Business Innovation Research Phase I Project Grant to Futuresthrive LTD under the Engineering federal grant program (CFDA 47.041). The grant will support development of a first-of-its-kind mental health screening tool for youth ages 4-18. Using artificial intelligence, voice and facial biometrics, sentiment analysis and machine learning, the gamified online platform aims to identify risk factors and provide a baseline for understanding a...
This $1,183,690 National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) Project Grant award to The Regents of the University of California, San Francisco (UCSF) supports the development of personalized artificial intelligence (AI) models that can predict recurring adverse health events, such as substance use and stress-related hypertension, using data from consumer wearable devices like Fitbit and Apple Watch. The key innovation of this project is the use...
The National Science Foundation Division of Industrial Innovation awarded Innsightful Inc. a $256,000 Project Grant under the Engineering federal grant program (CFDA 47.041) from August 1, 2021 to July 31, 2022. The grant funds the development of a biometric wearable device for real-time mental health intervention of anxiety. The Engineering program seeks to improve quality of life and economic strength by fostering innovation and excellence in engineering research. This award supports those...
This Project Grant award, provided by the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program, is focused on developing an AI tool to proactively monitor and support the mental health of student-athletes, particularly those from underserved communities. The primary objective is to train a large language model using data from minority populations to engage student-athletes in a culturally relevant manner and promote their mental wellness....
This $256,000 National Science Foundation Project Grant will support Products For Any Lifestyle, Inc. (PAL) in developing a wearable device and machine learning model to predict and prevent meltdowns in children with autism. The NSF Technology, Innovation, and Partnerships program aims to advance breakthrough technologies addressing national challenges. PAL will create a prototype wearable that continuously monitors biometrics to predict meltdowns using individualized machine learning models. By...