The National Institute of General Medical Sciences (NIGMS) awarded a $272,000 Project Grant (CFDA 93.859 - Biomedical Research and Research Training) to The Regents of the University of California, San Francisco (UCSF) to develop AI4HEALTH, a game-based learning environment designed to engage diverse adolescents' interest in biomedical careers and the use of artificial intelligence (AI) to solve health science problems. The project aims to create an interactive game, student discovery...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) federal Project Grant award, with CFDA number 47.070, provides $182,477 in funding to Tufts University to develop "decision-aware" machine learning methods that can directly satisfy stakeholder goals in applications such as detecting heart disease and predicting opioid overdoses. The 5-year project, starting on July 1, 2024, will focus on three key technical innovations: 1) decision-aware...
This $729,821 Project Grant from the National Institute of Environmental Health Sciences (NIEHS) under the Medical Library Assistance (CFDA 93.879) program supports the development of artificial intelligence (AI) and machine learning (ML) methods to provide real-time monitoring and updating of clinical decision support (CDS) systems. The goal is to reduce health disparities that may arise from the use of CDS systems.
The project focuses on developing AI-based postprocessing methods to address...
The federal Project Grant award K23MH135187 was granted by the National Institute of Mental Health (NIMH) under the Mental Health Research Grants program (CFDA 93.242). The $389,880 award was made to the University of North Carolina at Chapel Hill to develop and test a set of behavioral economics and financial incentive-based strategies to improve treatment engagement, medication adherence, and substance avoidance for patients transitioning from coordinated specialty care (CSC) for...
The National Institute of Mental Health (NIMH) awarded a $1,957,913 Project Grant under the Mental Health Research Grants program (CFDA 93.242) to Ksana Health Inc., a small disadvantaged business based in Eugene, OR. The grant, titled "BRITE 2.0: A JUST-IN-TIME ADAPTIVE INTERVENTION FOR SUICIDE SAFETY PLANNING IN ADOLESCENTS", seeks to enhance the effectiveness of suicide safety planning interventions for at-risk youth by developing and commercializing an augmented version of the...
This 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 to The Regents of the University of California, San Francisco (UCSF) to develop artificial intelligence (AI) models that can predict adverse health events like substance use and stress-related blood pressure spikes using data from consumer wearable devices.
The key innovation is the use of personalized, self-supervised machine...
This is a Project Grant award from the National Institute of Mental Health (NIMH), under the Mental Health Research Grants program (CFDA 93.242). The $2,306,736 grant, awarded on July 1, 2024, aims to reveal critical neural mechanisms for intelligent reward-driven learning and decision-making. The research will rigorously assess the relationships between value-guided decision-making and hippocampal non-local representations. The project includes advanced recording techniques, an innovative...
This $250,000 Project Grant award from the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) supports the development of algorithms for real-time dynamic risk identification and monitoring of streaming data, particularly in the domains of electronic medical records, mobile health, and supply chain.
The key objectives are to create a unified framework for dynamic risk detection that can be incorporated into...
This Project Grant award from the National Institute on Drug Abuse (NIDA), under the Drug Use and Addiction Research Programs (CFDA 93.279), will support the development of new data analytic methods to leverage micro-randomized trial (MRT) data and construct effective just-in-time adaptive interventions (JITAIs) for substance use disorders (SUDs). The University of Rochester, a private research university, received $505,617 to close key gaps in existing MRT data analytic approaches. The new...
This Project Grant award from the National Institute of Mental Health (NIMH), under the Mental Health Research Grants program (CFDA 93.242), provides $235,500.00 to Rutgers, The State University of New Jersey to conduct a combined neuroimaging and experience sampling study on promoting adaptive decision-making in individuals with schizophrenia.
The key objectives of the project are to: 1) characterize attentional processes underlying evidence integration prior to decision-making in...