Project Grant R43DK141305

Award Date 9/4/24
Completion Date 8/31/25
Dollars Obligated $307K
Federal Grant Program
93.847
Assistance Type
Project Grant
Place of Performance
Clifton Park, NY 12065, USA
Similar Awards
This $1,470,094 project grant award from the National Institute of Diabetes and Digestive and Kidney Diseases (CFDA 93.847) will fund research by New York University School of Medicine to optimize pre-implantation kidney transplant biopsy interpretation using artificial intelligence (AI) assistance. The key products and services to be delivered under this 5-year project include: Developing a comprehensive unbiased atlas of histopathology in pre-implantation deceased donor kidney biopsies using...
This $152,453 Project Grant award from the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), under the Diabetes, Digestive, and Kidney Diseases Extramural Research program (CFDA 93.847), will support the development and validation of a deep learning approach to automatically assess kidney vascular pathology and predict cardiovascular risk from digitized kidney biopsy images. The award will be used by the Boston Medical Center Corporation to: 1) develop and validate an...
The U.S. National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) awarded a $702,754 Project Grant (CFDA 93.847 - Diabetes, Digestive, and Kidney Diseases Extramural Research) to Mayo Clinic to develop artificial intelligence-based methods for characterizing kidney macrostructure from pre- and post-nephrectomy computed tomography (CT) images. The goal is to evaluate automated imaging biomarkers as prognostic tools for predicting progressive chronic kidney disease in patients...
The University of Louisville, through its Office of Research & Innovation Division, received a $464,073 Project Grant award from the National Institute of Diabetes and Digestive and Kidney Diseases (CFDA 93.847) to develop a generative AI-based system for accurate prediction of deceased donor liver-transplant (DDLT) outcomes and viability. The proposed system will use deep learning techniques to produce "virtual" Masson's trichrome stained slides from input hematoxylin and eosin...
This Project Grant award from the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), under the Diabetes, Digestive, and Kidney Diseases Extramural Research program (CFDA 93.847), provides $192,888 to The Leland Stanford Junior University to develop a machine learning-based risk assessment model for predicting progressive chronic kidney disease (CKD) among patients undergoing cancer therapy. The project aims to address data gaps in assessing kidney function for this patient...
This $166,643 Project Grant awarded by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) under the Diabetes, Digestive, and Kidney Diseases Extramural Research program (CFDA 93.847) supports the development of robust phenotyping pipelines for early detection of collagen type IV-associated nephropathy (COL4A-AN) using electronic health records (EHR) data. The primary goal is to establish scalable phenotyping methods that leverage natural language processing (NLP) and...
This federal Project Grant award from the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), under the Diabetes, Digestive, and Kidney Diseases Extramural Research program (CFDA 93.847), provides $199,999 to the University of Florida to develop innovative artificial intelligence (AI)-based methods to support the discovery of potent, orally available small-molecule heparanase inhibitors. The goal is to evaluate these novel heparanase inhibitors in murine models as a...
This Project Grant award from the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), under the Diabetes, Digestive, and Kidney Diseases Extramural Research program (CFDA 93.847), is funding research to develop a deep learning model that can diagnose urinary tract obstruction in children with antenatal hydronephrosis more accurately than current clinical standards. The $155,011 award, with a project period from March 15, 2025 to January 31, 2030, aims to create a multimodal...
This Project Grant award of $3,740,270, provided by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) under the Diabetes, Digestive, and Kidney Diseases Extramural Research program (CFDA 93.847), supports the development and evaluation of a subnormothermic (room temperature) oxygenated perfusion platform for extended preservation of high-risk kidney grafts. The awardee, Biomedinnovations, Inc. (BMI), is collaborating with investigators at the Duke Ex Vivo Organ Lab...
The U.S. National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) awarded a $243,750 Project Grant under the Diabetes, Digestive, and Kidney Diseases Extramural Research program (CFDA 93.847) to The Trustees of the University of Pennsylvania. The grant will fund the development of novel methods to improve detection of mosaic chromosomal alterations (MCA) in non-neoplastic tissues like the kidney and blood. The project aims to create single-cell sequencing techniques and spatial...

This Project Grant award of $306,873 from the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) under the Diabetes, Digestive, and Kidney Diseases Extramural Research program (CFDA 93.847) aims to develop an AI-driven automated system for accurately generating Banff lesion scores from kidney biopsy slides. The project, titled "BANFF-AID: BANFF Automated Nephrology Feature Framework - Artificial Intelligence Diagnosis", will create custom AI models to extract essential features from biopsy slides and provide continuous, explainable Banff lesion scores. This will reduce subjectivity and variability in the current manual evaluation process, potentially increasing the utilization of viable donor kidneys. The project will initially focus on arteriosclerosis, glomerulosclerosis, and interstitial fibrosis and tubular atrophy, with plans to expand to computing multiple Banff lesion scores from various stains. Key sub-awardees include the University of Alberta, Icahn School of Medicine at Mount Sinai, Emory University, and the University of Pittsburgh, who will contribute specialized expertise in medical research, computational imaging, and AI development.

Generated 7/1/25, 2:46 AM