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=== 2017 ===
=== 2017 ===
*{{cite journal |pmid=29218867 }}

*{{cite journal |doi=10.1016/j.jbi.2017.11.003 }}
* Hodos R, Zhang P, Lee HC, Duan Q, Wang Z, Clark NR, Ma'ayan A, Wang F, Kidd B, Hu J, Sontag D, Dudley J. (2017) Cell-specific prediction and application of drug-induced gene expression profiles. Pac Symp Biocomput. 2018;23:32-43. {{PMID|29218867}}
*{{cite journal |doi=10.2217/pgs-2017-0137 }}
* Wang Z, Li L, Glicksberg BS, Israel A, Dudley JT, Ma'ayan A. (2017) Predicting Age by Mining Electronic Medical Records with Deep Learning Characterizes Differences between Chronological and Physiological Age. J Biomed Inform. 2017 Nov 4. pii: S1532-0464(17)30240-X. DOI: 10.1016/j.jbi.2017.11.003. [Epub ahead of print] {{PMID|29113935}}
* Scott SA, Obeng AO, Botton MR, Yang Y, Scott ER, Ellis SB, Wallsten R, Kaszemacher T, Zhou X, Chen R, Nicoletti P, Naik H, Kenny EE, Vega A, Waite E, Diaz GA, Dudley J, Halperin JL, Edelmann L, Kasarskis A, Hulot JS, Peter I, Bottinger EP, Hirschhorn K, Sklar P, Cho JH, Desnick RJ, Schadt EE. (2017) Institutional profile: translational pharmacogenomics at the Icahn School of Medicine at Mount Sinai. Pharmacogenomics. 2017 Oct 6. DOI: 10.2217/pgs-2017-0137. [Epub ahead of print] {{PMID|28982267}}


=== 2016 ===
=== 2016 ===
*{{cite journal |doi=10.1016/j.jacc.2016.10.029 }}

*{{cite journal |pmid=27896982 }}
* Kini AS, Vengrenyuk Y, Shameer K, Maehara A, Purushothaman M, Yoshimura T, Matsumura M, Aquino M, Haider N, Johnson KW, Readhead B, Kidd BA, Feig JE, Krishnan P, Sweeny J, Mahajan M, Moreno P, Mehran R, Kovacic JC, Baber U, Dudley JT, Narula J, Sharma S. (2016) Intracoronary Imaging, Cholesterol Efflux, and Transcriptomes after Intensive Statin Treatment: The YELLOW II study. J Am Coll Cardiol. 2016 Oct 27. DOI: 10.1016/j.jacc.2016.10.029 {{PMID|27989886}}
*{{cite journal |pmid=27766955 }}
* Shameer K, Johnson KW, Yahi A, Miotto R, Li LI, Ricks D, Jebakaran J, Kovatch P, Sengupta PP, Gelijns S, Moskovitz A, Darrow B, David DL, Kasarskis A, Tatonetti NP, Pinney S, Dudley JT. (2016) Predictive Modeling of Hospital Readmission Rates Using Electronic Medical Record-Wide Machine Learning: A Case-Study Using Mount Sinai Heart Failure Cohort. Pac Symp Biocomput. 2016;22:276-287. {{PMID|27896982}}
* Karim S, NourEldin HF, Abusamra H, Salem N, Alhathli E, Dudley J, Sanderford M, Scheinfeldt LB, Kumar S. (2016) e-GRASP: an integrated evolutionary and GRASP resource for exploring disease associations. BMC Genomics. 2016 Oct 17. {{PMID|27766955}}


=== 2015 ===
=== 2015 ===
*{{cite journal |doi=10.1038/mp.2015.215 }}

*{{cite journal |doi=10.2217/pme.14.87 }}
* Readhead B, Haure-Mirande JV, Zhang B, Haroutunian V, Gandy S, Schadt EE, Dudley JT, Ehrlich ME. (2015) Molecular Systems Evaluation of Oligomerogenic APPE693Q and Fibrillogenic APPKM670/671NL/PSEN1Δexon9 Mouse Models Identifies Shared Features with Human Alzheimer’s Brain Molecular Pathology. Molecular Psychiatry. DOI: 10.1038/mp.2015.215 {{PMID|26782051}}
*{{cite journal |doi=10.1634/theoncologist.2014-0361 }}
* Kidd BA, Readhead BP, Eden C, Parekh S, Dudley JT. (2015) Integrative network modeling approaches to personalized cancer medicine. Personalized Medicine. Vol. 12, No. 3, Pages 245-257
* Age-Stratified Risk of Unexpected Uterine Sarcoma Following Surgery for Presumed Benign Leiomyoma Brohl AS, Li L, Andikyan V, Običan SG, Cioffi A, Hao K, Dudley JT, Ascher-Walsh C, Kasarskis A, Maki RG. (2015) Age-Stratified Risk of Unexpected Uterine Sarcoma Following Surgery for Presumed Benign Leiomyoma. Oncologist. 2015 Apr;20(4):433-9


Google Scholar Citations
Google Scholar Citations

Revision as of 15:07, 29 June 2018

Joel Dudley
Joel Dudley
Alma materStanford University
Known forPersonalized medicine, Personal genomics
Scientific career
FieldsBioinformatics, Health informatics, Personalized medicine, Genomics, Evolutionary Biology
InstitutionsIcahn School of Medicine at Mount Sinai
Doctoral advisorAtul Butte

Joel Dudley is currently Associate Professor of Genetics and Genomic Sciences and founding Director of the Institute for Next Generation Healthcare at the Icahn School of Medicine at Mount Sinai.[1][2] In March, 2018 Dr. Dudley was named Executive Vice President for Precision Health for the Mount Sinai Health System (MSHS). In 2017 he was awarded an Endowed Professorship by Mount Sinai in Biomedical Data Science. Prior to Mount Sinai, he held positions as Co-founder and Director of Informatics at NuMedii, Inc. and Consulting Professor of Systems Medicine in the Department of Pediatrics at Stanford University School of Medicine. His work is focused at the nexus of -omics, digital health, artificial intelligence (AI), scientific wellness, and healthcare delivery. His work has been featured in the Wall Street Journal, Scientific American, MIT Technology Review, CNBC, and other popular media outlets.[3][4][5][6] He was named in 2014 as one of the 100 most creative people in business by Fast Company magazine.[7] He is co-author of the book Exploring Personal Genomics from Oxford University Press.[8] Dr. Dudley received a BS in Microbiology from Arizona State University and an MS and PhD in Biomedical Informatics from Stanford University School of Medicine.

Selected publications

2017

  • . PMID 29218867. {{cite journal}}: Cite journal requires |journal= (help); Missing or empty |title= (help)
  • . doi:10.1016/j.jbi.2017.11.003. {{cite journal}}: Cite journal requires |journal= (help); Missing or empty |title= (help)
  • . doi:10.2217/pgs-2017-0137. {{cite journal}}: Cite journal requires |journal= (help); Missing or empty |title= (help)

2016

2015

Google Scholar Citations

https://scholar.google.com/citations?user=206DEM0AAAAJ

References

  1. ^ "Joel Dudley - The Mount Sinai Hospital". The Mount Sinai Hospital. Retrieved 2017-12-11.
  2. ^ "Joel T. Dudley - Director, INGH". nextgenhealthcare.org. Retrieved 2017-12-11.
  3. ^ Amy Dockser Marcus (2011-08-24). "Researchers Show Gains in Finding Reusable Drugs". The Wall Street Journal. Retrieved 2017-12-12.
  4. ^ Ariel Bleicher (2017-08-09). "Demystifying the Black Box That Is AI". Scientific American. Retrieved 2017-12-12.
  5. ^ Courtney Humphries (2013-09-26). "A Hospital Takes Its Own Big-Data Medicine". MIT Technology Review. Retrieved 2017-12-12.
  6. ^ Christine Wang (2016-03-29). "Mt. Sinai researchers to share Theranos study data". CNBC. Retrieved 2017-12-12.
  7. ^ "Why Health Care Needs Creative Thinking More Than Ever". Fast Company. Retrieved 2017-12-12.
  8. ^ "Exploring Personal Genomics". Oxford University Press. Retrieved 2017-12-12.

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