Project Grant R01CA298988
Award Date
12/1/24
Completion Date
11/30/29
Dollars Obligated
$1.2M
Federal Agency
National Cancer Institute
Federal Grant Program
93.395
Assistance Type
Project Grant
Place of Performance
California, USA
Similar Awards
This Project Grant award from the National Cancer Institute (CFDA 93.393 - Cancer Cause and Prevention Research) provides $762,258 to Cedars-Sinai Medical Center to conduct a cluster randomized controlled trial. The project aims to assess whether providing natural language processing (NLP)-based feedback with artificial intelligence (AI) summaries of key treatment tradeoffs to patients and physicians after prostate cancer consultations can improve patient decision-making and physician risk...
This Project Grant awarded by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286) provides $1,418,716 to develop and validate an artificial intelligence (AI) surgical coaching system designed to enhance surgical performance and patient outcomes during urologic endoscopy procedures. The project aims to utilize machine learning algorithms to model real-life...
This $700,611 Project Grant, awarded on March 11, 2025 by the National Cancer Institute (NCI) under the Cancer Cause and Prevention Research (CFDA 93.393) program, supports a practical randomized controlled trial (RCT) of artificial intelligence (AI) for melanoma diagnosis at Memorial Sloan Kettering Cancer Center (MSK) and Stanford University (SU). The goal is to determine the potential benefits and barriers to clinical adoption of AI-assisted dermoscopy, and to evaluate the impact on the...
The National Institute of Biomedical Imaging and Bioengineering (NIBIB) has awarded a $693,156 Project Grant (CFDA 93.286 Discovery and Applied Research for Technological Innovations to Improve Human Health) to the Dana-Farber Cancer Institute, Inc. (DFCI) to develop artificial intelligence (AI) algorithms for predicting prognosis and optimizing treatment selection for cutaneous squamous cell carcinoma (CSCC), a highly prevalent form of skin cancer. The project aims to train and validate AI...
This $591,606 Project Grant, awarded by the National Cancer Institute (NCI) under the Cancer Cause and Prevention Research (CFDA 93.393) program, supports research to optimize human-computer interaction in pathology and understand the impact of computer-aided diagnosis (CAD) tools on pathologists' interpretive performance. The project, led by the University of California, Los Angeles (UCLA), will randomize 250 pathologists to evaluate the effects of different types and timing of CAD cues on...
The National Cancer Institute (NCI) awarded a $570,634 Project Grant under the Cancer Detection and Diagnosis Research program (CFDA 93.394) to the University of Connecticut to develop a robust, multimodal, and longitudinal artificial intelligence (AI) system to enhance breast cancer screening. The overarching objective is to optimize and personalize breast cancer screening by advancing AI algorithms that can transform clinical decision-making. The key products/services to be delivered...
The National Cancer Institute (NCI) awarded a $178,444 Project Grant under the Cancer Research Manpower (CFDA 93.398) federal grant program to the University of California, Los Angeles (UCLA) for the "UCLA SURGEON-SCIENTIST BASIC CANCER RESEARCH TRAINING PROGRAM (UCLA SURGEON-SCIENTIST BCRTP)". The program aims to provide rigorous curriculum and mentored research experiences to exceptional surgical residents dedicated to advancing cancer research and treatment innovation. The program...
This Project Grant award from the National Cancer Institute (CFDA 93.394 - Cancer Detection and Diagnosis Research) to Yale University totals $167,500 and will be executed from September 2023 through August 2025. The primary objectives are to: Develop deep neural network-based emulation analysis methods and software to objectively quantify the relative effectiveness of drugs, devices, and treatment procedures on cancer prognosis, especially when randomized clinical trials are not feasible. The...
This $300,000 Project Grant awarded by the National Science Foundation (NSF) under the Integrative Activities (CFDA 47.083) program supports the development of an innovative, intelligent surgical probe for prostate cancer treatment. The project aims to create an edge artificial intelligence (AI) system-on-chip for bioimpedance analysis that can accurately distinguish cancerous from healthy tissue during prostate removal surgery. The novel technology being developed includes an adaptive filter to...
This federal Project Grant award of $718,456 from the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286) supports research and development of an AI-powered system for automated analysis of abdominal CT scans to enhance detection and tracking of metastatic colorectal cancer. The key products and services to be delivered include: 1) Creating a large-scale...