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  1. 1.   Exploring approaches for predictive cancer patient digital twins: Opportunities for collaboration and innovation
  2. Stahlberg,Eric; Abdel-Rahman, Mohamed; Aguilar, Boris; Asadpoure, Alireza; Beckman, Robert A; Borkon,Lynn; Bryan, Jeffrey N; Cebulla, Colleen M; Chang, Young Hwan; Chatterjee, Ansu; Deng, Jun; Dolatshahi, Sepideh; Gevaert, Olivier; Greenspan, Emily J; Hao, Wenrui; Hernandez-Boussard, Tina; Jackson, Pamela R; Kuijjer, Marieke; Lee, Adrian; Macklin, Paul; Madhavan, Subha; McCoy, Matthew D; Mohammad Mirzaei, Navid; Razzaghi, Talayeh; Rocha, Heber L; Shahriyari, Leili; Shmulevich, Ilya; Stover, Daniel G; Sun, Yi; Syeda-Mahmood, Tanveer; Wang, Jinhua; Wang, Qi; Zervantonakis, Ioannis
  3. Frontiers in Digital Health. 2022, Oct 6; 4: 1007784.
  1. 2.   Inter-Institutional Partnerships to Develop Veterinarian-Investigators through the NIH Comparative Biomedical Scientist Training Program Benefit One Health Goals
  2. Simpson, R. Mark; Hoover, Shelley B.; Davis, Barbara J.; Hickerson, John; Miller, Margaret A.; Kiupel, Matti; Cullen, John M.; Dwyer, Jennifer E.; Wei,Bih; Rosol, Thomas J.; Kornegay, Joe N.; Samal, Siba K.
  3. JOURNAL OF VETERINARY MEDICAL EDUCATION. 2020, OCT; 47(5): 619-631.
  1. 3.   Insulin-like growth factor 1 receptor antibody induces rhabdomyosarcoma cell death via a process involving AKT and Bcl-x(L)
  2. Mayeenuddin, L. H.; Yu, Y.; Kang, Z.; Helman, L. J.; Cao, L.
  3. Oncogene. 2010, Dec; 29(48): 6367-6377.
  1. 4.   Approaching Solid Tumor Heterogeneity on a Cellular Basis by Tissue Proteomics Using Laser Capture Microdissection and Biological Mass Spectrometry
  2. Johann, D. J.; Rodriguez-Canales, J.; Mukherjee, S.; Prieto, D. A.; Hanson, J. C.; Emmert-Buck, M.; Blonder, J.
  3. Journal of Proteome Research. 2009 8(5): 2310-2318.
  1. 5.   DNA fingerprinting of the NCI-60 cell line panel
  2. Lorenzi, P. L.; Reinhold, W. C.; Varma, S.; Hutchinson, A. A.; Pommier, Y.; Chanock, S. J.; Weinstein, J. N.
  3. Molecular Cancer Therapeutics. 2009 8(4): 713-724.
  1. 6.   Progressive CD4(+) central-memory T cell decline results in CD4(+) effector-memory insufficiency and overt disease in chronic SIV infection
  2. Okoye, A.; Meier-Schellersheim, M.; Brenchley, J. M.; Hagen, S. I.; Walker, J. M.; Rohankhedkar, M.; Lum, R.; Edgar, J. B.; Planer, S. L.; Legasse, A.; Sylwester, A. W.; Piatak, M.; Lifson, J. D.; Maino, V. C.; Sodora, D. L.; Douek, D. C.; Axthelm, M. K.; Grossman, Z.; Picker, L. J.
  3. Journal of Experimental Medicine. 2007, Sep; 204(9): 2171-2185.
  1. 7.   Chemoinformatic analysis of NCI preclinical tumor data: Evaluating compound efficacy from mouse xenograft data, NCI-60 screening data, and compound descriptors
  2. Wallqvist, A.; Huang, R. L.; Covell, D. G.
  3. Journal of Chemical Information and Modeling. 2007, Jul-Aug; 47(4): 1414-1427.
  1. 8.   Using mutual information to measure the impact of multiple genetic factors on AIDS
  2. Nelson, G. W.; O'Brien, S. J.
  3. Jaids-Journal of Acquired Immune Deficiency Syndromes. 2006, Jul; 42(3): 347-354.
  1. 9.   Limiting dilution analysis of interleukin-2 producing helper T-cell frequencies as a tool in allogeneic hematopoietic cell transplantation
  2. Petersen, S. L.; Sidorov, I. A.; Russell, C. A.; Dickmeiss, E.; Vindelov, L. L.
  3. Transplantation. 2005, SEP 15; 80(5): 573-581.
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