Grant Status Currently Funded
Division Division of Cancer Control and Population Sciences
Program Epidemiology and Genomics Research Program (EGRP)
Branch Risk Factor Assessment Branch
Topic Health Disparities
PI Name Organization Name Project Title
(Click for Abstract, Pubs, etc.)
Grant Number Initiative
(Click for Funding Announcement)
Awarded Dollars Fiscal Year Abstract Page URL Funding Announcement URL
Bailey, Regan Texas A&M Agrilife Research Development of a Total Nutrient Index 2U01CA215834-05A1 PA20-185 281646 2024 https://maps.cancer.gov/overview/DCCPSGrants/abstract.jsp?applId=10886389&term=CA215834 https://grants.nih.gov/grants/guide/pa-files/PA-20-185.html
Evenson, Kelly R. Univ of North Carolina Chapel Hill Physical Activity, Sedentary Behavior, and Cancer Incidence in Women 5R01CA227122-04 PA18-010 624578 2022 https://maps.cancer.gov/overview/DCCPSGrants/abstract.jsp?applId=10477019&term=CA227122 https://grants.nih.gov/grants/guide/pa-files/PA-18-010.html
Figueiredo, Jane C. Cedars-Sinai Medical Center Time-Restricted Eating and Cancer: Clinical Outcomes, Mechanisms, and Moderators 5R01CA258222-04 CA20-004 841251 2024 https://maps.cancer.gov/overview/DCCPSGrants/abstract.jsp?applId=10851964&term=CA258222 https://grants.nih.gov/grants/guide/rfa-files/RFA-CA-20-004.html
Fulkerson, Jayne Allyn University of Minnesota Innovation in Measurement for Diet-Related Disease Research: Optimizing Utility and Reach to Reduce Health Disparities 5R01CA248200-05 PA18-856 577953 2025 https://maps.cancer.gov/overview/DCCPSGrants/abstract.jsp?applId=11074096&term=CA248200 https://grants.nih.gov/grants/guide/pa-files/PA-18-856.html
Hong, Julian Clint University of California, San Francisco Multi-Institutional Validation of a Multi-Modal Machine Learning Algorithm to Predict and Reduce Acute Care During Cancer Therapy 5R01CA277782-02 PAR21-190 356096 2024 https://maps.cancer.gov/overview/DCCPSGrants/abstract.jsp?applId=10795876&term=CA277782 https://grants.nih.gov/grants/guide/pa-files/PAR-21-190.html
Intille, Stephen S Northeastern University Accelerating the Development of Novel Methods to Measure 24-Hr Physical Behavior 5R01CA252966-05 PA18-856 428554 2024 https://maps.cancer.gov/overview/DCCPSGrants/abstract.jsp?applId=10918102&term=CA252966 https://grants.nih.gov/grants/guide/pa-files/PA-18-856.html
Kehm, Rebecca D Columbia University Health Sciences Characterizing the Role of Adolescent Physical Activity in Early Onset Breast Cancer Risk for Women Across the Familial Risk Continuum 4R00CA263024-03 PA20-188 249000 2024 https://maps.cancer.gov/overview/DCCPSGrants/abstract.jsp?applId=10948999&term=CA263024 https://grants.nih.gov/grants/guide/pa-files/PA-20-188.html
Neuhouser, Marian L Fred Hutchinson Cancer Center Nutrition and Physical Activity Assessment Study (NPAAS) 2R01CA119171-18 PA20-185 896761 2024 https://maps.cancer.gov/overview/DCCPSGrants/abstract.jsp?applId=10994555&term=CA119171 https://grants.nih.gov/grants/guide/pa-files/PA-20-185.html
Qu, Annie University of California-Irvine SCH: Individualized Learning and Prediction for Heterogeneous Multimodal Data From Wearable Devices 1R01CA297869-01 PAR24-002 299988 2024 https://maps.cancer.gov/overview/DCCPSGrants/abstract.jsp?applId=11064395&term=CA297869 https://grants.nih.gov/grants/guide/pa-files/PAR-24-002.html
Rummo, Pasquale New York University School of Medicine A Large-Scale Quasi-Experimental Evaluation of Added Sugar Warning Labels in Restaurants 1R37CA294883-01 PAR21-305 717441 2024 https://maps.cancer.gov/overview/DCCPSGrants/abstract.jsp?applId=10998314&term=CA294883 https://grants.nih.gov/grants/guide/pa-files/PAR-21-305.html
Schembre, Susan Georgetown University Mobile Ecological Momentary Diet Assessment: a Low Burden, Ecologically-Valid Approach to Measuring Dietary Intake in Near-Real Time 5R01CA244404-05 PA18-856 616731 2024 https://maps.cancer.gov/overview/DCCPSGrants/abstract.jsp?applId=10818326&term=CA244404 https://grants.nih.gov/grants/guide/pa-files/PA-18-856.html
Sulam, Jeremias Johns Hopkins University SCH: Quantifying and Mitigating Demographic Biases of Machine Learning in Real World Radiology 5R01CA287422-02 PAR23-001 282680 2024 https://maps.cancer.gov/overview/DCCPSGrants/abstract.jsp?applId=10875636&term=CA287422 https://grants.nih.gov/grants/guide/pa-files/PAR-23-001.html