Project Grant R01DE034780

Award Date 4/8/25
Completion Date 1/31/30
Dollars Obligated $733K
Federal Grant Program
93.121
Assistance Type
Project Grant
Place of Performance
Texas, USA
Similar Awards
The National Institute of Dental and Craniofacial Research (NIDCR) awarded a Project Grant under the Oral Diseases and Disorders Research program (CFDA 93.121) to Trustees of Dartmouth College in the amount of $1,352,406.84 with a project period from September 2024 to June 2028. The grant is for the development of a noninvasive ultrasound-based molecular imaging tool to detect small pockets of lymph node micrometastases in head and neck cancer patients. The project involves creating targeted...
This $556,548 federal Project Grant award from the National Institute of Dental and Craniofacial Research (NIDCR) under the Oral Diseases and Disorders Research program (CFDA 93.121) will support the development of an artificial intelligence-driven system for online adaptive and personalized proton therapy (AID-ON-APPT). The key products to be delivered include: Two deep learning models for automated delineation of tumors and organs at risk on daily cone-beam CT images for head and neck cancer...
This Project Grant award from the National Institute of Dental and Craniofacial Research (NIDCR), under the Oral Diseases and Disorders Research program (CFDA 93.121), will fund research to develop a machine learning-based model that can accurately predict the presence of aggressive tissue phenotypes in head and neck squamous cell carcinoma (HNSCC). The $168,610 award, effective from April 2025 to March 2028, will be led by Dr. Yingci Liu at Rutgers, The State University of New Jersey. The...
This $722,040 project grant was awarded by the National Institute of Dental and Craniofacial Research (NIDCR) under the Oral Diseases and Disorders Research program (CFDA 93.121). The grant will support research at the University of Texas Health Science Center at Houston (UTHealth) to enhance dental clinical data and reduce disparities through innovative machine learning (ML) approaches. Specifically, the project aims to: 1) Use large language model-based natural language processing to convert...
This $701,699 federal Project Grant award from the National Institute of Dental and Craniofacial Research (CFDA 93.121 - Oral Diseases and Disorders Research) aims to advance understanding of the hybrid epithelial/mesenchymal (HEM) state and its impact on immune infiltration in head and neck squamous cell carcinoma (HNSCC). The primary awardee, The General Hospital Corporation (Massachusetts General Hospital), will utilize advanced imaging approaches to develop imaging-based biomarkers related...
This Project Grant awarded by the National Cancer Institute (NCI), under the Federal Grant Program titled "Cancer Detection and Diagnosis Research" (CFDA 93.394), provides $1,637,339.00 to Yale University for a 5-year research project from May 1, 2024 to April 30, 2029. The project aims to develop robust deep learning-based approaches to accurately delineate target volumes, including gross tumor volumes (GTVs) and clinical target volumes (CTVs), for head and neck cancer patients...
This $434,170 federal Project Grant award, provided by the National Institute of Dental and Craniofacial Research (NIDCR) under the Oral Diseases and Disorders Research program (CFDA 93.121), supports the development and testing of an engineered bacterial in situ cancer vaccine platform. The project aims to create a biomaterial-encapsulated E. coli-based vaccine that can secrete the immunostimulatory cytokine IL-12 and modulate the tumor immune microenvironment following surgical resection of...
This federal Project Grant award from the National Institute of Dental and Craniofacial Research (NIDCR) under the Oral Diseases and Disorders Research program (CFDA 93.121) provides $550,296 to develop a multimodal imaging-based diagnostic system for accurately assessing the risk of precancerous oral lesions. The key products/services to be delivered include: Development of machine learning (ML) and deep learning (DL) models using Fourier transform infrared (FTIR) imaging to stratify oral...
This federal Project Grant award from the National Cancer Institute (CFDA 93.393 - Cancer Cause and Prevention Research) provides $664,304 to Emory University to investigate the biological and social determinants of psychosocial sequelae in advanced head and neck cancer patients receiving immunotherapy. The goal is to understand the psychosocial burdens and their underlying contributors among this patient population, with the aim of developing personalized interventions to improve quality of...
This Project Grant award, valued at $496,567 and awarded by the National Cancer Institute (CFDA 93.394 - Cancer Detection and Diagnosis Research) on June 1, 2024, will support research to develop, validate, and implement advanced computational tumor phenotyping techniques to characterize head and neck squamous cell carcinoma (HNSCC) at multiple biological levels. The research involves high-throughput analysis of quantitative features from radiology images (radiomics) and digital pathology images...

This federal Project Grant award from the National Institute of Dental and Craniofacial Research (NIDCR) under the Oral Diseases and Disorders Research Program (CFDA 93.121) provides $732,513 to The University of Texas MD Anderson Cancer Center for the "HARVARD MD ANDERSON COLLABORATIVE TO REDUCE LYMPHATIC MORBIDITY IN HEAD AND NECK CANCER WITH ARTIFICIAL INTELLIGENCE (HARMONIC-AI)" project. The project aims to leverage computational imaging and AI to enhance early detection and risk assessment of lymphedema and fibrosis, two common and debilitating post-treatment complications for head and neck cancer patients. The research seeks to harness CT scans and AI-based tools to tailor treatment plans, improve diagnostic capabilities, and offer more precise therapeutic interventions - thereby radically improving quality of life for this patient population. The project period runs from April 2025 through January 2030.

Generated 4/29/25, 3:25 AM