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Early Detection

Advances research to determine the effectiveness and clinical impact – harms and benefits – of cancer early detection technologies and practices, including imaging and molecular biomarker approaches. Fosters technological development, statistical modeling, and dissemination of scientific findings to promote early cancer detection practices.

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Major Programs

Resources

Staff List

Photo Name, Email, Phone Room Group(s)/Office
LeeVan, Elyse, M.D., M.P.H.
elyse.leevan@nih.gov
240-276-7314
5E110 Program Officer | Early Detection
McCarty, Larae
larae.mccarty@nih.gov
240-276-5777
5E322 Program Specialist | Community Oncology and Prevention Trials
Early Detection
Miller, Eric, Ph.D.
eric.miller2@nih.gov
240-276-5336
5E212 Program Officer | Early Detection
Ong, Mary Jane
maryjane.ong@nih.gov
240-858-3296
5E120 Nurse Consultant | Early Detection
Pinsky, Paul, Ph.D.
paul.pinsky@nih.gov
240-276-7014
5E108 Chief | Early Detection
Saxena, Neeraj, Ph.D.
neeraj.saxena@nih.gov
240-276-6302
5E218 Program Officer | Early Detection
Zhu, Claire, Ph.D.
claire.zhu@nih.gov
240-276-7013
5E106 Program Officer | Early Detection

Grants

PI Name Sort descending PI Organization Title Grant Number Program Official
Hayes, Richard Bernard

New York University School Of Medicine
United States

The Oral Microbiome and Upper Aerodigestive Squamous Cell Cancer 5R01CA159036-09 Claire Zhu, Ph.D.
Hruska, Carrie B

Mayo Clinic Rochester
United States

Density MATTERS Clinical Trial 5R01CA239200-05 Claire Zhu, Ph.D.
Hsu, Li

Fred Hutchinson Cancer Center
United States

Statistical Methods for Precision Prevention 1R01CA297681-01 Claire Zhu, Ph.D.
James, Aimee S

Washington University
United States

Administrative Supplement to Building equity in cancer screening through research: The Siteman Catchment CSRN Hub 3UG1CA286946-02S1 Elyse LeeVan, M.D., M.P.H.
Ji, Hanlee P

Stanford University
United States

Single-molecule nanopore-based identification of methylome signatures in cfDNA for early colorectal cancer detection 5U01CA282212-02 Claire Zhu, Ph.D.
Kanetsky, Peter A

H. Lee Moffitt Cancer Ctr & Res Inst
United States

A hybrid effectiveness-implementation trial to integrate precision skin cancer risk feedback in federally qualified health centers 5R01CA291735-02 Claire Zhu, Ph.D.
Kim, Michelle Kang

Cleveland Clinic Lerner Com-Cwru
United States

Assessing feasibility of gastric cancer screening in the US 1R37CA300540-01 Claire Zhu, Ph.D.
Kooperberg, Charles L

Fred Hutchinson Cancer Center
United States

Statistics and Data Management Center (SDMC) for the NCI Cancer Screening Research Network (CSRN) 5UG1CA287013-02 Elyse LeeVan, M.D., M.P.H.
Krist, Alexander H

Virginia Commonwealth University
United States

Virginia Cancer Screening Research Network Access Hub (Virginia CSRN Hub) 3UG1CA287017-02S1 Elyse LeeVan, M.D., M.P.H.
Lee, Jeffrey Kuang Zou

Kaiser Foundation Research Institute
United States

Vanguard Study Administrative Supplement 3UG1CA287011-02S1 Elyse LeeVan, M.D., M.P.H.
Livneh, Zvi

Weizmann Institute Of Science
United States

Analysis of the predictability of lung cancer using DNA Repair functional assays and cryopreserved blood samples of the PLCO prospective cohort 5U01CA279001-03 Claire Zhu, Ph.D.
Lowry, Kathryn Paige

University Of Washington
United States

Evaluation of Commercial Mammography-Based Artificial Intelligence Algorithms for Breast Cancer Risk Prediction in U.S. Screening Populations 5R37CA292399-02 Claire Zhu, Ph.D.
Nabavi, Sheida

University Of Connecticut Storrs
United States

SCH: Robust Multimodal Longitudinal AI for Enhanced Breast Cancer Screening 5R01CA297855-02 Claire Zhu, Ph.D.
Neslund-Dudas, Christine Marie

Henry Ford Health + Michigan State University Health Sciences
United States

HFH-MSU CSRN ACCrual Enrollment and Screening Site 3UG1CA287007-02S1 Elyse LeeVan, M.D., M.P.H.
Ostrin, Edwin Justin

University Of Tx Md Anderson Can Ctr
United States

Validation of blood-based biomarkers for risk assessment of lung cancer among individuals with no smoking history in the PLCO Cohort 1U01CA295902-01A1 Claire Zhu, Ph.D.