This $435,827 Project Grant from the National Cancer Institute (NCI) under the CFDA 93.394 Cancer Detection and Diagnosis Research program supports research conducted by New York University (NYU) School of Medicine to develop deep learning methods for analyzing mass spectrometry imaging (MSI) data. The goal is to make MSI data more accessible to existing machine learning workflows by expanding the dimensionality of the data structure to treat each metabolite or lipid as an individual "color...
This National Cancer Institute (NCI) Project Grant award for $599,191 under the Cancer Detection and Diagnosis Research program (CFDA 93.394) supports the development and validation of a new 3D dynamic contrast-enhanced ultrasound (3D DCE-US) framework to characterize complex tumor vascular properties in liver malignancies. The project aims to introduce computational approaches to capture the interconnected nature of voxels in 3D DCE-US imaging, with the goal of identifying new biomarkers for...
The National Cancer Institute (NCI) awarded a $505,613 Project Grant (CFDA 93.394 - Cancer Detection and Diagnosis Research) to the Fred Hutchinson Cancer Center in Seattle, WA. The grant, awarded on December 4, 2024, supports the development of statistical and computational approaches to leverage genomic data and spatial omics technology for precision cancer prevention. The key objectives are to: 1) Create deep learning-based methods to identify tumor subtypes associated with poor outcomes...
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...
The National Cancer Institute (NCI) awarded a $549,536 Project Grant (CFDA 93.394 - Cancer Detection and Diagnosis Research) to Trustees of Dartmouth College to develop a comprehensive 3D wearable near-infrared (NIR) spectral tomography system for early prediction of residual cancer burden in breast cancer patients undergoing neoadjuvant chemotherapy. The project aims to integrate flexible circuit strips into a sleek, 64-channel wearable breast interface and apply 3D image reconstruction...
This Project Grant award from the National Cancer Institute (CFDA 93.394 - Cancer Detection and Diagnosis Research) provides $704,563 to the Beckman Research Institute of the City of Hope to develop a quantitative MRI (qMRI) toolset and automated prostate cancer tumor segmentation method. The key products and services to be delivered through this 5-year project include: Building a qMRI toolset using magnetic resonance fingerprinting, arterial spin labeling, and diffusion-weighted MRI to generate...
This $593,383 Project Grant awarded by the National Cancer Institute (NCI) under the Cancer Detection and Diagnosis Research program (CFDA 93.394) aims to develop an AI-augmented, multimodal, label-free nonlinear optical microscopy system for rapid and precise diagnosis of thyroid cancer and lymph node metastasis. The award supports the creation of a compact, portable, AI-integrated label-free microendoscope designed to fit within a core biopsy needle. This device is intended to enable...
This $266,614 federal Project Grant awarded by the National Cancer Institute (CFDA 93.393 - Cancer Cause and Prevention Research) will fund the development of a principled framework to systematically explain AI-based histopathological models for cancer diagnosis and subtyping. The project aims to achieve four key tasks: Develop a "generative explainer" framework to explain DL histopathological models by generating a spectrum of images that can lead to different model predictions....
This $194,022 Project Grant was awarded by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under the "Discovery and Applied Research for Technological Innovations to Improve Human Health" (CFDA 93.286) program. The goal of this 4-year grant is to facilitate the transition of the Principal Investigator, an oncologist at Massachusetts General Hospital (MGH), to independence as a translational researcher using deep learning to study therapeutic resistance in...
The National Cancer Institute (NCI) awarded a $256,487 Project Grant under the Cancer Research Manpower (CFDA 93.398) program to the Sloan-Kettering Institute for Cancer Research in New York, NY. The grant supports a 5-year research project to develop multimodal predictive models that leverage real-world data from sources like circulating tumor DNA sequencing, radiomics, and clinician notes to improve risk stratification and clinical management of non-small cell lung cancer (NSCLC). The goal...