Active/Completed Active GrantsCompleted Grants PI Name Sort descending PI Organization Title Grant Number Program Official Lee, Hakho Massachusetts General Hospital United States Expanding early cancer detection with high throughput OCEANA - Ovarian Cancer Exosome Analysis with Nanoplasmonic Array 5U01CA284982-03 Nicholas Hodges, Ph.D. Lenburg, Marc Elliott Boston University Medical Campus United States The Boston University - UCLA Lung Cancer Biomarker Characterization Center 5U2CCA271898-04 Guillermo Marquez, Ph.D. Li, Christopher I Fred Hutchinson Cancer Center United States Fred Hutchinson Breast Cancer Clinical Validation Center 5U01CA152637-15 Sidney Fu, M.D. Li, Christopher I Fred Hutchinson Cancer Center United States Fred Hutchinson Breast Cancer Clinical Validation Center 5U01CA152637-15 Sidney Fu, M.D. Li, Bo Children'S Hosp Of Philadelphia United States Tracking Peripheral T-Cell Repertoire Changes for Preoperative and Early Ovarian Cancer Diagnosis 5R01CA258524-06 Christos Patriotis, Ph.D., M.Sc. Li, Debiao Cedars-Sinai Medical Center United States Predicting Pancreatic Ductal Adenocarcinoma (PDAC) Through Artificial Intelligence Analysis of Pre-Diagnostic CT Images 5R01CA260955-05 Matthew Young, Ph.D. Liang, Han University Of Tx Md Anderson Can Ctr United States The Cancer Proteome Atlas: an Integrated Bioinformatics Resource for Functional Cancer Proteomic Data 5U24CA264128-04 Christos Patriotis, Ph.D., M.Sc. Lin, Jia-Ren Harvard Medical School United States Advancing technologies for the collection and analysis of high dimensional immunoprofiles and tumor images 5R50CA274277-04 Guillermo Marquez, Ph.D. 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. Lokshin, Anna E University Of Pittsburgh At Pittsburgh United States Urine and serum biomarkers for early diagnosis and risk assessment of pancreatic cancer 5R01CA254036-05 Matthew Young, 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. Lubman, David M. University Of Michigan At Ann Arbor United States Serum Glyco-Markers of Early Hepatocellular Carcinoma Using a Mass Spec Approach 5R01CA160254-14 Matthew Young, Ph.D. Lyden, David Charles Weill Medical Coll Of Cornell Univ United States Application of 4D proteomics and super-resolution microscopy in extracellular vesicle and particle-borne biomarker discovery for early pancreatic cancer detection 5R01CA218513-08 Matthew Young, Ph.D. Maitra, Anirban New York University School Of Medicine United States Clinical Validation Center for Early Detection of Pancreatic Cancer 7U01CA200468-09 Matthew Young, Ph.D. Maitra, Anirban New York University School Of Medicine United States Clinical Validation Center for Early Detection of Pancreatic Cancer 7U01CA200468-09 Matthew Young, Ph.D. Pagination « First First page ‹ Previous Previous page … 6 7 8 9 … Next › Next page Last » Last page
