Michael J. Becich, MD, PhD

King AJ, Fisher AM, Becich MJ, Boone DN. Computer science, biology and biomedical informatics academy: outcomes from 5 years of immersing high-school students into informatics research. J Pathol Inform [serial online] 2017 [cited 2017 Mar 1];8:2. Available from: http://www.jpathinformatics.org/text.asp?2017/8/1/2/201110

Jacobson RS, Becich MJ, Bollag RJ, Chavan G, Dhir R, Corrigan J, Feldman M, Ganguly A, Gaudioso C, Legowski E, Maihle N, Mitchell K, Murphy M, Sakthivel M, Tseytlin E, Weaver J.  A Federated Network for Translational Cancer Research Using Clinical Data and Biospecimens.  Cancer Research 2015;75(24):5194-201. PMID:26670560 PMCID:PMC4683415 [Available on 2016-12-15]

Cooper GF, Bahar I, Becich MJ, Benos PV, Berg J, Espino JU, Jacobson RC, Kienholz M, Lee AV, Lu X, Scheines R, Center for Causal Discovery team. The Center for causal discovery of biomedical knowledge from Big Data. Journal of the American Medical Informatics Association 2015 Jul 2. pii: ocv059. doi: 10.1093/jamia/ocv059. [Epub ahead of print]  PMID: 26138794

Louis DN, Feldman M, Carter AB, Dighe AS, Pfeifer JD, Bry L, Almeida JS, Saltz J, Braun J, Tomaszewski JE, Gilbertson JR, Sinard JH, Gerber GK, Galli SJ, Golden JA, Becich MJ. Computational Pathology: A Path Ahead. Arch Pathol Lab Med. 2015 Jun 22. PMID: 26098131

Amin W, Tsui FC, Borromeo C, Chang CH, Espino JU, Ford D, Hwang W, Kapoor W, Lehmann H, Martich GD, Morton S, Paranjape A, Shirey W, Sorensen A, Becich MJ, Hess R. PaTH: towards a learning health system in the Mid-Atlantic region. J Am Med Inform Assoc.. 2014;21(4):63-6, PMID: 24821745 PMCID: PMC4078296

Dutta-Moscato J, Gopalakrishnan V, Lotze MT, Becich MJ. Creating a pipeline of talent for informatics: STEM initiative for high school students in computer science, biology, and biomedical informatics. J Pathol Inform 2014;5:12

http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2014;volume=5;issue=1;spage=12;epage=12;aulast=Dutta-Moscato

Risinger JI, Allard J, Chandran U, Day R, Chandramouli GV, Miller C, Zahn C, Oliver J, Litzi T, Marcus C, Dubil E, Byrd K, Cassablanca Y, Becich M, Berchuck A, Darcy KM, Hamilton CA, Conrads TP, Maxwell GL. Gene expression analysis of early stage endometrial cancers reveals unique transcripts associated with grade and histology but not depth of invasion.  Front Oncol. 2013 Jun 17;3:139. doi: 10.3389/fonc.2013.00139. Print 2013. PMID: 23785665

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