Project Grant R01LM014667
- 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 $3,687,278 federal Project Grant award from the National Institute on Aging (CFDA 93.866 - Aging Research) aims to optimize the validity of comparative effectiveness research in Alzheimer's disease and related dementias using large language models. The grant supports research at Brigham & Women's Hospital, a subsidiary of the Partners Healthcare System, to build novel large language models that can extract clinically relevant phenotypes from electronic health record data. This will...
- This Project Grant award of $400,627.00, made on August 8, 2025 by the National Institute of Environmental Health Sciences under the Medical Library Assistance program (CFDA 93.879), aims to develop and test a "HealthCoach" chatbot in English and Spanish. The chatbot will help patients with varying literacy levels gain insights from their electronic health record notes and use this knowledge to prepare for their next medical visit. The award was made to Beth Israel Deaconess Medical...
- 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...
- 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 federal Project Grant award for $1,312,212 from the National Institute of Environmental Health Sciences (NIEHS) under the Medical Library Assistance (CFDA 93.879) program will support research to develop an advanced DNA language model. The primary goal is to use natural language processing techniques to better understand the role and functionality of DNA sequences, especially non-coding regions, which could lead to advancements in areas like genetic testing and personalized medicine. The...
- 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...
- 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 $367,876 from the National Institute of Environmental Health Sciences under the Medical Library Assistance program (CFDA 93.879) supports research to develop novel designs for multi-arm, multi-dose, multi-stage platform trials. The award aims to address shortcomings in the conventional one-treatment-at-a-time approach to clinical trials, especially in the context of precision medicine for complex diseases like cancer. The project, conducted by the University...
- This federal Project Grant award of $426,479 from the National Institute of General Medical Sciences (NIGMS), under the Biomedical Research and Research Training program (CFDA 93.859), will support research toward developing statistical and computational tools to enable precision risk stratification, diagnosis, and treatment of medical conditions. The research will focus on integrating and synthesizing data from diverse sources such as biobanks, electronic health records, and clinical registries...
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 originally targeted during the training stage, to reduce missing data for pharmacoepidemiologic causal analysis. The project will leverage two large multi-center EHR systems linked with Centers for Medicare & Medicaid Services utilization, clinical assessment, and pharmacy dispensing data covering over 1.3 million lives from 2000-2024. The award recipient is Brigham & Women's Hospital Inc., a subsidiary of Partners Healthcare System (now Mass General Brigham), a prominent academic medical center and research institution in Boston, Massachusetts.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $402.8k | 7/31/25 |