This federal Project Grant award from the National Cancer Institute (CFDA 93.394 - Cancer Detection and Diagnosis Research) provides $572,490 to The Regents of the University of California, San Francisco (UCSF) to develop an AI-based tool called "PILLAR" that can predict breast cancer risk from longitudinal multi-modal breast imaging data. The key objectives are to: Develop PILLAR, an AI model that leverages longitudinal mammograms, tomosynthesis, and MRI imaging to achieve improved...
The National Cancer Institute (NCI) awarded a 5-year, $3,537,456 Project Grant under the Cancer Cause and Prevention Research program (CFDA 93.393) to The Regents of the University of California, San Francisco (UCSF) to conduct research on optimizing subtype-specific breast cancer screening and prevention. The project aims to develop improved risk assessment models that can predict the specific type of breast cancer a woman is likely to develop, in order to tailor screening and prevention...
This Project Grant award from the National Cancer Institute (CFDA 93.393 - Cancer Cause and Prevention Research) to the Sloan-Kettering Institute for Cancer Research provides $1,504,098.00 in funding to identify the genetic determinants of radiation-associated breast cancer and develop a comprehensive model for estimating contralateral breast cancer (CBC) risk. The key objectives are to screen for genetic variants that confer risk for radiation-associated CBC, and to develop and validate an...
This federal Project Grant award, provided by the National Cancer Institute (NCI) under the Cancer Cause and Prevention Research program (CFDA 93.393), supports a $644,804 research project titled "Advancing Breast Cancer Risk Assessment for Black Women." The project aims to develop and validate a novel deep learning-based breast cancer risk assessment tool focused on Black women, leveraging digital breast tomosynthesis (DBT) imaging data. Key objectives include: Developing a DBT-driven...
The National Cancer Institute (NCI) awarded a $872,878 Project Grant under the Cancer Cause and Prevention Research program (CFDA 93.393) to the University of California, Davis (UC Davis) to conduct the Latin America Genomics of Breast Cancer Risk Study (LAGENO-BCR). The five-year project, which began on September 1, 2024, aims to study the genetic architecture of breast cancer risk in Hispanic/Latina populations and improve predictive models for risk stratification. The project leverages the...
This Project Grant award from the National Cancer Institute (CFDA 93.393 - Cancer Cause and Prevention Research) to Northwestern University provides $187,000.00 in funding from March 2025 to February 2027 to conduct research on the role of lipid metabolism and epigenetic reprogramming in the development of estrogen receptor-negative breast cancer. The key objectives of the project are to: 1) Determine if the increased expression of neural genes observed in an in vitro model of lipid-induced...
This $989,122 Project Grant award from the National Cancer Institute (NCI) under the Cancer Detection and Diagnosis Research program (CFDA 93.394) aims to evaluate the performance of four commercial mammography-based artificial intelligence (AI) algorithms for breast cancer risk prediction in diverse U.S. screening populations. The project will assess the accuracy and equity of these AI risk models compared to traditional clinical risk factor-based models, using data from the Breast Cancer...
This $388,673 Project Grant awarded by the National Cancer Institute (NCI) under the Cancer Detection and Diagnosis Research program (CFDA 93.394) supports the development of novel statistical methods to identify and evaluate predictive biomarkers for targeted cancer therapies using data from non-randomized Phase II clinical trials. The key products of this 2-year project, led by the University of Kentucky Research Foundation, include: Novel semiparametric statistical models to identify and...
This Project Grant award from the National Cancer Institute (CFDA 93.393 - Cancer Cause and Prevention Research) provides $595,374.00 to the University of Vermont & State Agricultural College to identify gene expression profiles that can predict late recurrence risk for estrogen receptor-positive breast cancer patients. The project aims to analyze gene expression data from 200 cases of late distant breast cancer recurrence and 200 matched controls to develop a predictive model for...
This $432,304 Project Grant award from the National Cancer Institute (NCI) under the Cancer Cause and Prevention Research (CFDA 93.393) program will fund research to develop enhanced cancer risk prediction models for underrepresented Black and Hispanic populations. The key products to be delivered include: Novel data integration methods that can effectively leverage diverse data sources, including electronic health records and biobanks, while addressing challenges around data privacy and the...