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Funded Grants

Grants awarded in the current fiscal year and carried over from prior fiscal years.

PI Name PI Organization Title Sort descending Grant Number Program Official
Kober, Kord Michael

University Of California, San Francisco
United States

An Investigation of the Molecular Mechanisms for and Prediction of the Severity of Cancer Chemotherapy-Related Fatigue Using a Multi-staged Integrated Omics Approach 5R37CA233774-07 Brandy Heckman-Stoddard, Ph.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.
Huang, Yijian

Emory University
United States

Analytic diagnosis methods for disease ruling 5R01CA283687-02 Guillermo Marquez, Ph.D.
Jiang, Qing

Purdue University
United States

Anti-cancer effects of tocotrienols and a carboxychromanol in an innovative colon cancer model 5R03CA283236-02 Amit Kumar, Ph.D.
Buczynski, Matthew Wallace

Virginia Polytechnic Inst And St Univ
United States

Anti-nociceptive actions of CART II in chemotherapy-induced peripheral neuropathy 5R01CA284075-03 Rachel Altshuler, Ph.D.
Wallace, Douglas C

Children'S Hosp Of Philadelphia
United States

Anti-tumor immunity and intestinal microbiota are modulated by mitochondrial DNA 5R01CA259635-04 Young Kim, Ph.D.
Langel, Stephanie N.

Case Western Reserve University
United States

Antibody bound bacteria during HPV infection and cervical dysplasia 3R21CA289927-02S1 Goli Samimi, Ph.D., M.P.H.
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.
Saenger, Yvonne Margaret

Albert Einstein College Of Medicine
United States

Applying pathomics to establish a biosignature for aggressive skin melanoma 5R01CA260375-05 Guillermo Marquez, Ph.D.
Tewari, Ashutosh K

Icahn School Of Medicine At Mount Sinai
United States

Artificial intelligence enabled Stroma-Weighted Automated Grading system to improve risk stratification in Black Men 1R01CA290438-01A1 Indu Kohaar, Ph.D., M.Phil., M.Sc.