This federal Project Grant award, funded by the National Institute of Environmental Health Sciences (NIEHS) under the Medical Library Assistance (CFDA 93.879) program, aims to develop and validate a novel informatics framework to extract computable population, intervention, comparison, and outcome (PICO) elements and summarize them from publications of interventional and observational studies. The total funding amount is $391,388.00, with an award date of September 18, 2024 and an ultimate...
This federal Project Grant award from the National Institute of General Medical Sciences (NIGMS) under the Biomedical Research and Research Training Program (CFDA 93.859) totals $408,750 and is effective from September 15, 2024 through July 31, 2029. The award will support the development of large-scale composite hypothesis testing approaches for performing translational genetics analyses. Specifically, the research will focus on creating interpretable and robust statistical methods for...
This $278,104 Project Grant award from the National Institute of General Medical Sciences (NIGMS) under the Biomedical Research and Research Training program (CFDA 93.859) supports the development of novel machine learning-based predictive models for identifying cured and uncured patients across various diseases. The key products and services to be delivered under this 5-year grant, which runs from May 1, 2025 to April 30, 2030, include: Development of biologically motivated machine learning...
This $729,821 Project Grant award from the National Institute of Environmental Health Sciences (NIEHS) under the Medical Library Assistance (CFDA 93.879) program supports the development of artificial intelligence (AI) and machine learning (ML) methods for real-time monitoring and updating of clinical decision support (CDS) systems. The goal is to reduce health disparities that may arise from the use of CDS tools. The key products of this work include: Fair ML models trained on retrospective...
This federal Project Grant award from the National Institute of Environmental Health Sciences (NIEHS) under the Medical Library Assistance (CFDA 93.879) program provides $387,426 to support research to improve the methodology and application of geographic variation analyses in healthcare. The key objectives are: Revisiting the definitions and practical applications of regional and network measures of healthcare use and outcomes to avoid biases and increase generalizability, especially for...
This $498,042 Project Grant award from the National Institute of Environmental Health Sciences (NIEHS) under the Medical Library Assistance (CFDA 93.879) program supports the development and evaluation of multi-modal clinical diagnostic reasoning models for automated diagnosis generation. The project aims to address diagnostic errors that affect 12 million patients and contribute to 80,000 deaths annually. The key products to be delivered include: A multi-modal generative model that can read...
This $249,000 federal Project Grant award from the National Institute of Environmental Health Sciences (NIEHS) under the Medical Library Assistance (CFDA 93.879) program will fund research to develop a novel Contrastive Feature Analysis (CFA) framework for reliable visualization of the high dimensional feature space and effective design of high-performance deep neural networks (DNNs) for medical image analysis. The key objectives are to: 1) develop an efficient CFA visualization technique for...
This federal Project Grant award from the National Institute of Environmental Health Sciences (NIEHS) under the Environmental Health (CFDA 93.113) program will develop, test, and apply new statistical methods to address analytical challenges in environmental epidemiology research. Specifically, the $599,416 grant will fund the creation of Bayesian models to: (1) utilize spatially-resolved exposure data in health analyses, (2) identify individual and area-level factors that increase...
This $375,964 Project Grant award from the National Institute of Environmental Health Sciences (NIEHS) under the Medical Library Assistance (CFDA 93.879) program aims to address the issues of factual inaccuracy and unfaithful reasoning in large language models (LLMs) applied to biomedical and healthcare domains. The key objectives are to: (1) establish a self-augmentation framework to enable LLMs to automatically select and use relevant biomedical digital resources; (2) develop an LLM curator...
This Project Grant award from the National Institute of Environmental Health Sciences (NIEHS) under the Medical Library Assistance (CFDA 93.879) program provides $351,000 to the University of Texas Health Science Center at Houston (UTHealth) to develop trustworthy and high-performance question answering capabilities for electronic health records (EHRs). The key objectives are to combine large language models with the UTHealth-developed QUEHRY system, which excels at providing trustworthy answers...
The federal Project Grant award R21LM014699 for $367,876.00 was provided by the National Institute of Environmental Health Sciences (NIEHS) under the Medical Library Assistance (CFDA 93.879) program. The award is focused on developing robust Bayesian adaptive designs and methods to address practical challenges in real-world multi-arm, multi-dose, multi-stage platform clinical trials. Key products and services to be delivered include:
Proposing methods to optimize sequential monitoring of multiple treatments and/or endpoints, efficiently establish proof-of-concept and dose selection, manage incompatibility issues with non-concurrent controls, and address late-onset outcomes in platform trials.
Creating user-friendly software tools for trial simulation, conduct, and treatment selection to facilitate the implementation of these novel adaptive designs across various disease areas and clinical settings.
The overarching goal is to develop Bayesian techniques that can help identify superior treatments or doses to achieve greater anti-disease effects, improved safety, and enhanced survival outcomes for patients with unmet medical needs. The award period is from January 1, 2025 to December 31, 2026 and is being performed by the University of Texas MD Anderson Cancer Center.