Hassan Fathallah-Shaykh, M.D., Ph.D. Associate Professor, Neurological Sciences Head, Section of Neuro-Oncology
		Education 1985, Mathematics - B.S. –American University of Beirut, Beirut, Lebanon 1981 - 1985, Medicine - M.D. –American University of Beirut, Beirut, Lebanon 2005 - 2007, Ph.D, Mathematics: University of Illinois at Chicago, Chicago, IL. Advisor: Jerry Bona Ph.D.

Training 1985 - 1986, Internal Medicine (PGY-1): American University of Beirut, Beirut, Lebanon 1986 - 1989, Neurology (PGY2-4): The University of Chicago, Chicago, IL 1989 - 1990, Internal Medicine (PGY-2): Duke University, Durham, NC 1990 - 1993, Neuro-Oncology And Biomedical Research: Memorial Sloan-Kettering Cancer Center, New York, NY Contact Information Address: Rush University Medical Center Department of Neurological Sciences 1725 W. Harrison St., Suite 1118 Chicago, IL 60612 Business Phone: (312) 563-3563 Business FAX: (312) 563-3562 E-mail Address: hfathall@rush.edu Research Interests My research goals are to advance our understanding of the molecular pathogenesis of brain tumors and to devise new effective treatments. To achieve these goals, the laboratory has applied immunology, gene therapy, genetics, genomic discovery, and mathematical modeling. The past few years have witnessed important advances in biological research including the development of gene therapy, the completion of the Human Genome Project, and the invention of rapid screening of genetic expression by microarrays. These advances combined with mathematical modeling and with the knowledge gained from simulations of the molecular dynamics of genetic networks will: 1) uncover new and effective targets for gene therapy, 2) advance our understanding of the molecular events leading to tumor formation and dedifferentiation, 3) clarify the genetic interactions between tumor and host, and 4) generate molecular classifications that predict clinical behavior. PubMed Search for Publications Supplementary Information Fathallah-Shaykh HM. Noise and rank dependent geometrical filter improves sensitivity of highly specific discovery by microarrays. Bioinformatics, In press, 2005. Download Data                      Accepted Manuscript (4.3MB PDF) 3D Matlab Figures                 Download Paper Request FS By Email             Download FS Instructions (PDF) Fathallah-Shaykh HM. Logical networks inferred from highly specific discovery of transcriptionally regulated genes predict protein states in cultured gliomas. Biochem Biophys Res Comm 336:1278 –1284, 2005. Download Data            Discovered Genes (Excel)            Download Paper Fathallah-Shaykh HM. Genomic discovery reveals a molecular system for resistance to ER and oxidative stress in cultured glioma. Arch Neurol 62:233-236, 2005. Download Data            Discovered Genes (Excel)            Download Paper Fathallah-Shaykh HM., He B, Zhao L-J, Engelhard H, Cerullo L, Lichtor T, Byrne R, Munoz L, Von Roenn K, Rosseau G, Glick R, Chen S, Khan F. Genomic expression discovery predicts pathways and opposing functions behind phenotypes. J Biol Chem 278:23830-23833, 2003. Download Data            Download Paper Fathallah-Shaykh HM, He B, Zhao LJ, Badruddin A. Mathematical algorithm for discovering states of expression from direct genetic comparison by microarrays. Nucleic Acids Res. 32(13):3807-14, 2004. Download data Fathallah-Shaykh HM, Rigen M, Zhao L-J, Bansal K, He B, Engelhard HH, Cerullo L, Von Roenn K, Richard Byrne, Munoz L, Rosseau GL, Glick R, Lichtor T, DiSavino E. Mathematical modeling of noise and discovery of genetic expression classes in glioma. Oncogene 21:7164-7174, 2002. Supplementary Information (pdf file)