Gary D Luker, MD
Reed Dunnick Research Professor of Radiology
Associate Chair, Radiology Clinical Research
Professor of Biomedical Engineering
Medical School
Office:
University of Michigan
Radiology
109 Zina Pitcher Place, BSRB A710
Ann Arbor, MI 48109-2200
Radiology
109 Zina Pitcher Place, BSRB A710
Ann Arbor, MI 48109-2200
Email:
[email protected]
Available to mentor
Gary D Luker, MD
Professor
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About
I am a physician-scientist whose research centers at the interface of cancer biology and molecular imaging. I serve as the Editor of the RSNA journal, Radiology: Imaging Cancer.
Links
Lab website
Qualifications
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Research FellowshipWashington University in St. Louis School of Medicine, Laboratory of Molecular Radiopharmacology, St Louis, United States
1996 - 2002
Postdoctoral Fellowship
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FellowshipMallinckrodt Institute of Radiology, Pediatric Radiology, St. Louis, United States
1995 - 1996
Postdoctoral Fellowship
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ResidencyWashington University in St. Louis School of Medicine, Diagnostic Radiology, St Louis, United States
1991 - 1995
Residency
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MDWashington University School of Medicine, St Louis, MO, United States
1987 - 1991
Center Memberships
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Center MemberRogel Cancer Center
Research Overview
The Luker Lab investigates tumor-stromal interactions in cancer that drive tumor growth, metastasis, and drug resistance. The lab applies multi-scale imaging methods to understand tumor heterogeneity and predict early responses to therapy in models ranging from single cells to clinical studies.
Recent Publications
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Viola H, Carter H, Griffin K, Costa RM, McDonald R, Callow B, Gonzalez de Los Santos F, Panovich P, Carey S, Martinez M, Chen R, Hunter Z, Piotrowski-Daspit A, Luker G, Moore BB, Shea L. Biomaterials, 2026 Dec 1; 335:Journal ArticleAntifibrotic monocyte activation by nanoparticles resolves murine pulmonary fibrosis
DOI:10.1016/j.biomaterials.2026.124388 -
Huang C, Srivastava S, Ho KKY, Luker KE, Luker GD, Huan X, Garikipati K. Computer Methods in Applied Mechanics and Engineering, 2026 Aug 15; 458:Journal ArticleFP-IRL: Fokker–Planck inverse reinforcement learning — A physics-constrained approach to Markov decision processes
DOI:10.1016/j.cma.2026.119010 -
Fuller BT, Jones TH, Chan ET, D’Souza MW, Luker KE, Luker GD, Song JW. Analytical Chemistry, 2026 Jun 30; 98 (25): 18607 - 18622.Journal ArticleQuantitative Spatiotemporal Analysis of Intracellular Kinase Activity in Metastatic Breast Cancer Cells Using a Microfluidic-Based Lateral Diffusion Assay
DOI:10.1021/acs.analchem.6c01060 -
Malyarenko D, Ross BD, Peeters JM, Devaraj A, Jafari R, Tariq H, Pettit KM, Talpaz M, Luker GD, Chenevert TL. Magnetic Resonance in Medicine, 2026 Jun 1; 95 (6): 3386 - 3395.Journal ArticleOn-Scanner Correction of Gradient Nonlinearity Bias for Accurate Assessment of Diffusion Heterogeneity Across Bone Sites in Myelofibrosis Patients
DOI:10.1002/mrm.70273 PMID: 41612146 -
Huang C, Srivastava S, Ho KKY, Luker KE, Luker GD, Huan X, Garikipati K. 2023 Jun 22; arXiv,PreprintFP-IRL: Fokker--Planck Inverse Reinforcement Learning -- A Physics-Constrained Approach to Markov Decision Processes
DOI:10.48550/arxiv.2306.10407 -
Radiology Imaging Cancer, 2026 Mar 1; 8 (2): e260186Journal Article2025 Manuscript Reviewers: A Note of Thanks
DOI:10.1148/rycan.260186 PMID: 41891823 -
Radiology Imaging Cancer, 2026 Mar 1; 8 (2): e260187Journal ArticleEditor's Recognition Awards
DOI:10.1148/rycan.260187 PMID: 41891824 -
Cani AK, Dolce EM, Darga EP, Hu K, Liu C, Robinson D, Wu Y, Paoletti C, Luker GD, Tomlins SA, Udager AM, Henderson NC, Thomas DG, Rae JM, Arul CM, Cobain EF, Hayes DF. Clinical Cancer Research, 2026 Feb 23; 32 (4_Supplement): ps2-07-22-ps2-07-22Journal ArticleAbstract PS2-07-22: Serial, multi-omic, multi-analyte, liquid biopsy monitoring of metastatic lobular breast cancer to detect clinically-relevant heterogeneity and evolution
DOI:10.1158/1557-3265.sabcs25-ps2-07-22
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How breast cancer cells survive in bone marrow after remission
A new study from researchers at the University of Michigan and the University of California San Diego has shed light on a previously poorly understood aspect of breast cancer recurrence: how cancer cells survive in bone marrow despite targeted therapies.