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 federal Project Grant award, provided by the National Cancer Institute (CFDA 93.394 - Cancer Detection and Diagnosis Research), will fund a research project titled "SESAME: SUN EXPOSURE AND ACTIVITIES AFTER SKIN CANCER: OPTIMIZATION OF MHEALTH INTERVENTIONS". The $331,781 award, effective September 13, 2024 through August 31, 2027, will support Northwestern University in refining and enhancing intervention tools, including a mobile app, to reduce unprotected sun exposure and...
The National Cancer Institute (NCI) awarded a $700,611 Project Grant under the Cancer Cause and Prevention Research (CFDA 93.393) program to the Sloan-Kettering Institute for Cancer Research. The grant aims to conduct a randomized controlled trial to evaluate the impact of using artificial intelligence (AI) as a second opinion to enhance dermatologists' ability to diagnose melanoma, with the goal of reducing the number of unnecessary skin biopsies while maintaining high melanoma detection rates....
This federal Project Grant award from the National Cancer Institute (CFDA 93.394 - Cancer Detection and Diagnosis Research) totaling $263,086 will fund the development of a multiparametric endoscopic ultrasound (MPEUS) imaging system to improve pancreatic cancer screening and characterization. The project will implement real-time MPEUS imaging in high-risk individuals enrolled in a pancreatic cancer screening program to assess the feasibility and benefits of this novel approach. As a secondary...
This Project Grant award from the National Cancer Institute (NCI), under the Cancer Detection and Diagnosis Research program (CFDA 93.394), will fund a hybrid effectiveness-implementation study to evaluate the impact of a precision prevention intervention to improve skin cancer prevention activities among diverse patients in low-resourced, community primary care settings. The $706,771 award to the H. Lee Moffitt Cancer Center and Research Institute Hospital, Inc. will support recruiting 1,430...
This Project Grant award from the National Cancer Institute (CFDA 93.395 - Cancer Treatment Research) provides $391,325 to the University of Arizona to develop a new Portable Confocal Microscope (PCM) device and evaluate its clinical utility for assessing Chemotherapy-Induced Peripheral Neuropathy (CIPN) in cancer patients. The key objectives are to: 1) Develop a PCM device for rapid imaging of Meissner's corpuscles, which are mechanoreceptors in the skin that can indicate CIPN; 2) Evaluate...
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 Project Grant award from the National Cancer Institute (NCI) under the Cancer Detection and Diagnosis Research program (CFDA 93.394) provides $703,540 to support the development and optimization of an implantable microdevice (IMD) technology for predicting optimal cancer therapies in patients with head and neck cancer. The project aims to validate the IMD's performance in effectively predicting patient response to immunotherapy and chemotherapy, enable testing of a novel antibody-cytokine...
This Project Grant award of $593,383 from the National Cancer Institute (CFDA 93.394 - Cancer Detection and Diagnosis Research) aims to develop an AI-augmented, multimodal, label-free optical microscopy system for rapid and precise diagnosis of thyroid cancer and lymph node metastasis. The key products and services to be delivered include: A benchtop system for label-free imaging and AI-enhanced analysis of fine needle aspiration (FNA) samples to enable rapid and accurate thyroid cancer...
This federal Project Grant award for $599,191, provided by the National Cancer Institute (CFDA 93.394 Cancer Detection and Diagnosis Research program), supports the development and validation of a 3D dynamic contrast-enhanced ultrasound (3D DCE-US) framework to characterize tumor vascular properties for liver malignancies. The goal is to introduce computational approaches that leverage the interconnected nature of voxels in 3D DCE-US imaging to capture new information beyond conventional...
This Project Grant award from the National Cancer Institute (CFDA 93.394 - Cancer Detection and Diagnosis Research) provides $349,878 to the University of Utah to develop an Electrical Impedance Dermography (EID) technology to improve the diagnosis and management of basal cell carcinoma (BCC) and squamous cell carcinoma (SCC).
The key objectives are to: 1) Collect EID data on 80 subjects with lesions clinically suspicious for BCC, and use that data to train a machine learning algorithm to distinguish BCC subtypes, which will then be tested on a separate cohort of 40 subjects; and 2) Expand the SCC/seborrheic keratosis cohort to 80 subjects to further improve the diagnostic performance of the EID-based machine learning algorithm at distinguishing SCC-in-situ, invasive SCC, actinic keratosis, and inflamed seborrheic keratosis. The award period runs from January 1, 2025 to December 31, 2026.