Grant Status Currently Funded
Division Division of Cancer Control and Population Sciences
Program Epidemiology and Genomics Research Program (EGRP)
Branch Risk Factor Assessment Branch
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
Evenson, Kelly R. Univ of North Carolina Chapel Hill Physical Activity, Sedentary Behavior, and Cancer Incidence in Women 5R01CA227122-04 PA18-010 624578 2022
Figueiredo, Jane C. Cedars-Sinai Medical Center Time-Restricted Eating and Cancer: Clinical Outcomes, Mechanisms, and Moderators 5R01CA258222-03 CA20-004 867802 2023
Fulkerson, Jayne Allyn University of Minnesota Innovation in Measurement for Diet-Related Disease Research: Optimizing Utility and Reach to Reduce Health Disparities 5R01CA248200-03 PA18-856 576143 2023
Hennessy, Erin Tufts University Boston AC/DC: Artificial Intelligence and Computer Visioning to Assess Dietary Composition 5R21CA250024-02 PAR18-857 197745 2021
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 1R01CA277782-01 PAR21-190 389126 2023
Intille, Stephen S Northeastern University Accelerating the Development of Novel Methods to Measure 24-Hr Physical Behavior 5R01CA252966-04 PA18-856 10340 2023
Neuhouser, Marian L Fred Hutchinson Cancer Center Nutrition and Physical Activity Assessment Study 5R01CA119171-17 PA18-856 713531 2023
Schembre, Susan Georgetown University Mobile Ecological Momentary Diet Assessment: a Low Burden, Ecologically-Valid Approach to Measuring Dietary Intake in Near-Real Time 5R01CA244404-04 PA18-856 652326 2023
Strath, Scott J University of Wisconsin Milwaukee Calibrating Free-Living Physical Activity Characteristics Across Functionally-Limited Populations Using Machine-Learned Accelerometer Approaches 5R01CA215318-05 PA16-167 475626 2021
Sulam, Jeremias Johns Hopkins University SCH: Quantifying and Mitigating Demographic Biases of Machine Learning in Real World Radiology 1R01CA287422-01 PAR23-001 318506 2023
Tasevska, Natasha Arizona State University-Tempe Campus Application of Predictive Biomarkers of Sugars and Animal Protein Intake for Investigation of Dietary Measurement Error and Its Effect on Diet-Disease Associations 5U01CA197902-07 PA20-185 447242 2023
Wang, Molin Brigham and Women's Hospital New Epidemiologic Methods for Reducing Measurement Error and Misclassification Bias in Cancer Epidemiology 1R01CA279175-01A1 PA20-185 749965 2023
Wilkens, Lynne R University of Hawaii at Manoa Traditional and New Dietary Assessment Methods (TANDAM) for Personalized Nutrition 3U24CA268228-02S1 PA20-272 440900 2023
Wilkens, Lynne R University of Hawaii at Manoa Traditional and New Dietary Assessment Methods (TANDAM) for Personalized Nutrition 5U24CA268228-02 RM21-004 1439140 2023
Zhu, Fengqing Maggie Purdue University SCH: Wearable Sensing and Visual Analytics to Estimate Receptivity to Just-in-Time Interventions for Eating Behavior 5R01CA277839-02 PAR22-001 292485 2023