Project Grant R44LM014847
- This federal Project Grant award of $376,184, provided by the National Institute of Environmental Health Sciences under the Medical Library Assistance program (CFDA 93.879), aims to investigate how integrating outside patient data into clinical workflows can improve healthcare outcomes and reduce costs. The key focus is on understanding how clinicians use data from health information exchanges (HIEs) and the value of that data for improving utilization, quality, and patient satisfaction. The...
- 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...
- This federal Project Grant award of $402,750 from the National Institute of Environmental Health Sciences under the Medical Library Assistance program (CFDA 93.879) supports the development of large language models (LLMs) for drug safety and effectiveness causal analysis using real-world data from electronic health records (EHRs). The primary objective is to build an LLM-based causal analytical platform that can robustly determine a wide variety of clinical phenotypes, including those not...
- The federal Project Grant award of $2,720,667 from the National Institute of Environmental Health Sciences (CFDA 93.879 - Medical Library Assistance) will fund research at Yale University to develop robust algorithms and a tool to help clinicians and life scientists better understand the estimates of predictive models by visualizing patient neighborhoods based on supervised weighted distances. The goal is to increase trust in complex, multivariate predictive models used in clinical AI and...
- This federal Project Grant award of $1,396,731.00 from the National Institute of Environmental Health Sciences (NIEHS), under the Medical Library Assistance (CFDA 93.879) program, aims to develop a computational framework for the quality assessment and curation of biological models. The primary objectives are to standardize and automate the iterative process of assembling, documenting, verifying, and validating models of cell signaling. This will maximize the accuracy and reuse potential of...
- This Project Grant award from the National Institute of Environmental Health Sciences (NIEHS) under the Medical Library Assistance (CFDA 93.879) federal grant program provides $304,971 to Nested Knowledge Inc. to develop an artificial intelligence (AI)-based tool for automated extraction of data from tables in published biomedical studies. The goal is to integrate this tool into Nested Knowledge's existing software platform, which supports various steps of the systematic literature review...
- This Project Grant award from the National Institute of Environmental Health Sciences (CFDA 93.879 - Medical Library Assistance) is providing $3,484,662.00 to Cedars-Sinai Medical Center to conduct research on using artificial intelligence (AI) methods for large-scale epidemiological studies. The research will focus on leveraging patient reports of medication adherence and tolerability to gain novel insights into intentional medication non-adherence, which is a significant public health...
- This $351,000 federal Project Grant award from the National Institute of Environmental Health Sciences (CFDA 93.879 - Medical Library Assistance) supports research to measure and improve the innovative potential of biomedical research and translation. The project develops computational, data, and network science tools integrated with a social science framework to analyze discovery and innovation dynamics, with the goal of accelerating transformative breakthroughs in biomedical fields. The...
- The National Science Foundation (NSF) has awarded a $1,250,000 Cooperative Agreement under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program to Abstractive Health, Inc. to develop and refine a machine-learning-enabled tool that can generate clinically relevant, narrative summaries of medical records. This tool aims to reduce the time burden associated with processing unstructured electronic health records, while ensuring the accuracy and comprehensiveness of patient care....
- The federal Project Grant award of $1,602,000.00 from the National Institute of Environmental Health Sciences, under the Medical Library Assistance program (CFDA 93.879), will support the development of computational methods for analyzing multiplex immunofluorescence (MIF) imaging data to study the tumor microenvironment. The project aims to leverage a unique MIF dataset from over 2,000 cancer patients across 20 tumor types to develop innovative computational strategies, including spatial...
This federal Project Grant award of $410,924 was provided by the National Institute of Environmental Health Sciences (NIEHS) under the Medical Library Assistance program (CFDA 93.879) to fund 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 goal is to revolutionize healthcare quality improvement by replacing the traditionally manual, resource-intensive abstraction process with a real-time, AI-driven solution. The award recipient, Clairyon, Inc., will prospectively validate QUALLM against existing quality reporting systems within a large academic health system, with the aim of enhancing patient outcomes through timely insights into quality performance, reducing healthcare costs, and establishing a more agile and responsive learning healthcare system. The project will be conducted from September 1, 2025 to February 28, 2026.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $410.9k | 8/22/25 |