Project Grant R00LM014024
Award Date
9/1/24
Completion Date
8/31/27
Dollars Obligated
$526K
Federal Agency
National Institute of Environmental Health Sciences
Awardee
Yale Univ (FL6GV84CKN57)
Federal Grant Program
93.879
Assistance Type
Project Grant
Place of Performance
Connecticut, USA
Similar Awards
This National Science Foundation (NSF) Project Grant, awarded under the Computer and Information Science and Engineering program (CFDA 47.070), provides $220,000 to Yale University from September 1, 2023 through August 31, 2027. The project aims to develop a smarter artificial intelligence (AI) system to better understand and analyze complex medical images, such as those from multiple scans of a patient. The research team will tackle challenges to make the AI system more scalable, interpretable,...
This $433,841 federal Project Grant award from the National Eye Institute (NEI) under the Vision Research program (CFDA 93.867) supports the development of computational methods and deep learning models to analyze imaging data and identify biomarkers for age-related macular degeneration (AMD). The goal is to improve understanding of AMD disease progression and response to treatment. Specifically, the project will develop deep neural network models to analyze optical coherence tomography,...
This Project Grant award of $437,959 from the National Eye Institute (NEI) under the Vision Research program (CFDA 93.867) supports research to develop, evaluate, and validate large language models (LLMs) for studying amblyopia treatment, adherence, and outcomes using electronic health record (EHR) data. The project aims to enable more research and the development of clinical decision support tools that leverage data from EHR clinical notes, which often contain inconsistent documentation of...
This Project Grant award from the National Eye Institute (NEI) under the Vision Research program (CFDA 93.867) is supporting the development of equitable deep learning models for automated glaucoma screening. The $754,779 award, with a performance period from Sep 30, 2024 to Jul 31, 2029, aims to assess the performance equity of existing deep learning models, develop identity-conditioned generative models to improve data equality, and create fair identity normalization techniques to equalize...
This federal Project Grant award from the National Eye Institute (CFDA 93.867 - Vision Research) provides $628,531 to the University of Miami to validate and implement an artificial intelligence machine-to-machine (M2M) model for equitable glaucoma screening in underserved populations. The M2M model aims to provide objective, quantitative assessments of glaucomatous damage from low-cost fundus photography, overcoming limitations of existing imaging technologies. The project will refine the M2M...
Aisight Health Inc. received a $479,580 Project Grant award from the National Institutes of Health's National Eye Institute to develop artificial intelligence tools to identify rapid glaucoma progression. The goal is to use machine learning models trained on over a decade of optical coherence tomography images, visual field tests, and clinical records for more than 9,000 glaucoma patients to more accurately and quickly determine which patients are likely to experience rapid vision loss from...
This National Science Foundation (NSF) Project Grant under the Engineering (CFDA 47.041) program provides $200,000 in funding to Yale University from October 1, 2023 through September 30, 2025. The grant supports the development of an open-source software platform and statistical methods to assess the performance of artificial intelligence/machine learning (AI/ML) models used for computational pathology. Key products and services to be delivered include: Validation of the existing MATLAB-based...
This $375,964 Project Grant award from the National Institute of Environmental Health Sciences (NIEHS) under the Medical Library Assistance (CFDA 93.879) program aims to address the issues of factual inaccuracy and unfaithful reasoning in large language models (LLMs) applied to biomedical and healthcare domains. The key objectives are to: (1) establish a self-augmentation framework to enable LLMs to automatically select and use relevant biomedical digital resources; (2) develop an LLM curator...
The National Institute of Environmental Health Sciences (NIEHS) awarded a $498,042 Project Grant under the Medical Library Assistance (CFDA 93.879) federal grant program to the University of Colorado-Denver. The grant, which runs from September 1, 2024 to August 31, 2027, aims to develop and evaluate multi-modal clinical diagnostic reasoning models for automated diagnosis generation. Key project goals include: Developing a multi-modal generative model that can read structured and unstructured...
This $729,821 Project Grant award 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 for 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 tools. The key products of this work include: Fair ML models trained on retrospective...