Project Grant R15EB036778
Award Date
9/20/24
Completion Date
9/19/27
Dollars Obligated
$357K
Federal Agency
National Institute of Biomedical Imaging and Bioenginering
Federal Grant Program
93.286
Assistance Type
Project Grant
Place of Performance
Keene, NH 03435, USA
Similar Awards
This National Science Foundation Project Grant of $195,305 awarded May 1, 2022 through April 30, 2024 under the Engineering (47.041) program will support the development of intelligent, cost-efficient, and adaptive techniques to enable biomedical hardware-assisted cybersecurity. The Long Beach Research Foundation at California State University will leverage machine learning to create accurate and low-cost cyberattack detection and classification methods that utilize hardware-related features...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $155,258 to the University of South Alabama to develop a novel Explainable Artificial Intelligence (XAI) technique called Temporal Eclectic Rule Extraction (TERE). The goal is to improve the transparency and trustability of Intrusion Detection Systems (IDS) used for cybersecurity by extracting human-readable decision rules that...
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 National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program is for the development of an end-to-end artificial intelligence (AI) system to integrate and analyze multimodal clinical data, including time-series, text, images, and numerical data. The $1,215,099 grant, awarded on October 1, 2024, aims to enable seamless integration of AI systems into real-world clinical settings by enhancing interactions between...
The National Science Foundation (NSF) awarded a $199,792 Computer and Information Science and Engineering (CISE) program grant to the University of Miami to develop novel methodologies for detecting data shifts in artificial intelligence/machine learning-enabled software as a medical device (AI/ML-SAMD) in medical cyber-physical systems. The project aims to create a framework that allows SAMDs to adapt through real-world learning, enhancing their safety and effectiveness in detecting lung cancer...
This $345,207 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop foundational methods for integrating expert clinicians' visual search behaviors, as captured through eye gaze patterns, into machine learning (ML) pipelines for medical image analysis. The project seeks to enhance the predictive performance, interpretability, and clinical trustworthiness of AI-enabled healthcare solutions...
The National Institute of Biomedical Imaging and Bioengineering (NIBIB) awarded a $359,995 Project Grant under the "Discovery and Applied Research for Technological Innovations to Improve Human Health" (CFDA 93.286) program to Clemson University. The funding supports the development and validation of a novel X-ray visualized immunosensor (X-VIS) that can be attached to implanted medical devices to detect and monitor local infection biomarkers. The project aims to fabricate a...
This National Science Foundation (NSF) CAREER grant, awarded under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), provides $441,032 to the University of New Hampshire (UNH) to develop an auto-calibrated insole system and explainable AI (XAI) models for personalized and trustworthy fall risk assessment among adults aged 65 and older. The project aims to address the challenges of sensor drift in existing smart insole systems and the lack of clinically meaningful...
This $348,227 federal Project Grant award, made by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, focuses on improving the scalability and effectiveness of using large language models (LLMs) in healthcare applications. The key objectives are to develop an evaluation framework to address issues like factual and faithfulness hallucinations in LLM outputs, and to introduce innovative reinforcement learning methods to align LLM...
This $170,000 federal Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop robust and human-aligned deep learning techniques for analyzing medical sensor time-series data. The primary goals are to: 1) identify input confounders that lead to spurious correlations in time-series data, 2) design knowledge-editing strategies to correct these spurious correlations, and 3) investigate the techniques...