Project Grant R44TR003254

This Cooperative Agreement award from the National Science Foundation (NSF), under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084), will fund the development of a machine-learning-enabled tool to generate concise, clinically relevant narrative summaries of patients' electronic medical records. The $1,250,000 award to Abstractive Health, Inc. aims to revolutionize healthcare delivery by reducing the burden on physicians, addressing issues like medical errors, patient...

This $410,924 federal Project Grant award from the National Institute of Environmental Health Sciences, under the Medical Library Assistance program (CFDA 93.879), supports the development of QUALLM, an innovative automated toolset that leverages fast healthcare interoperability resources (FHIR) and generative artificial intelligence (GenAI) to enable real-time abstraction and evaluation of clinical quality measures. The project aims to revolutionize healthcare quality improvement by replacing...

This SBIR Phase II Cooperative Agreement, awarded by the National Science Foundation (NSF) through its Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084), aims to develop a natural language processing (NLP)-driven automation solution to optimize new patient referral pathways. The $1,250,000 award will enable the awardee, Iiam Corporation, to expand the accuracy and capabilities of its algorithms for triaging and assigning new patient referrals. Pilot data has demonstrated...

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...

The National Science Foundation Division of Information and Intelligent Systems awarded a $600,000 Project Grant to the Massachusetts Institute of Technology from September 1, 2022 to August 31, 2026 under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will support the development of machine learning-driven user interfaces and contextual displays to help clinicians synthesize information from patient medical records. Researchers will create a novel...

This $317,591 federal Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will fund research to enhance personalized healthcare through the use of large language models (LLMs) and novel memory semiconductor devices. The project aims to develop efficient retrieval-augmented generation (RAG) techniques for LLM personalization, focusing on reducing latency and hardware overhead through algorithm-hardware...

This $1,199,991 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program aims to develop novel technologies for real-time assessment of blood clot properties to improve stroke treatment. The key products and services under this grant include: Integration of a sub-millimeter Raman fiber probe into a catheter for intravascular, in-vivo measurement of clot chemical composition. Training of a convolutional neural network to...

This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $274,920 to Arclet LLC aims to enhance public health communication by leveraging artificial intelligence (AI) and natural language processing (NLP) technologies. The project seeks to develop a scalable platform that enables health communicators to create, customize, and measure the effectiveness of health messages tailored to diverse cultural and linguistic contexts. Key...

This $347,570.00 Project Grant was awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to Emory University on June 15, 2025, with a scheduled completion date of May 31, 2030. The grant's goal is to develop a "Knowledge Graphs-Large Language Model Co-Learning (KG-LLM Co-Learning)" framework to address challenges in utilizing large language models (LLMs) and knowledge graphs (KGs) for healthcare applications....

The National Science Foundation awarded a $598,676 project grant to Beth Israel Deaconess Medical Center, Inc. to develop machine learning-driven user interfaces for medical record information gathering and synthesis under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The award period is from September 1, 2022 to August 31, 2026. The project will advance the foundations of human-AI interaction and artificial intelligence for healthcare by developing...