Project Grant R01LM014770
Award Date 8/1/25
Completion Date 5/31/29
Dollars Obligated $376K
Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
San Francisco, CA 94143, USA
Similar Awards
- 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 $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...
- 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...
- 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 $238,884 federal Project Grant awarded by the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program is funding research to assess the efficacy of digital health technologies in low-resource settings. The primary awardee, the University of South Florida, is conducting in-depth interviews and behavioral observations with healthcare providers, patients, and their families to explore how digital health services impact treatment experiences,...
- 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 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 $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...