Project Grant R00LM014099
- 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...
- The University of California, Los Angeles (UCLA) has been awarded a $428,448 Project Grant under the National Institutes of Health (NIH) Human Genome Research program (CFDA 93.172). The award, with a project period from September 2023 to August 2025, will fund the development of a novel contrastive learning method to identify biologically and clinically relevant disease subtypes from electronic health record (EHR) data. The goal is to advance precision medicine by uncovering meaningful...
- 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...
- 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 $1,089,491 Project Grant award from the National Institute of Diabetes and Digestive and Kidney Diseases (CFDA 93.847 - Diabetes, Digestive, and Kidney Diseases Extramural Research) aims to develop novel statistical methods, computational algorithms, and user-friendly software to study individual health trajectories relevant to disease onset and progression for large, diverse healthcare datasets like electronic medical records and biobanks. The research, to be conducted by the University of...
- 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...
- The University of California, San Francisco (UCSF) was awarded a $1,453,500 Project Grant by the National Institutes of Health (NIH) under the Trans-NIH Research Support program (CFDA 93.310). The funding will support the development of a novel, physiologically-focused approach to train multi-modal artificial intelligence (AI) algorithms for medical applications. Specifically, the project aims to create a new deep neural network architecture that can accept and learn from multiple...
- 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 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 Institutes of Health (NIH), through the Medical Library Assistance federal grant program (CFDA 93.879), awarded a $249,000 Project Grant to The Regents of the University of California, San Francisco (UCSF) to develop a data science framework for transforming electronic health records (EHRs) into real-world evidence. The project aims to integrate data from randomized controlled trials (RCTs) and EHRs to better emulate RCTs using EHR data and measure the same effects seen in the trials. This will enable studying patient subgroups that were excluded from the pivotal trials associated with new drug approvals by the FDA. The project will focus on ulcerative colitis as the initial use case and plans to scale to other disease areas in the future. The award period runs from August 5, 2025 to July 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $249.0k | 8/5/25 |