Joel Dudley

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Joel Dudley
Dudley 162R2-2.jpg
Joel Dudley
Alma mater Stanford University
Known for Personalized medicine, Personal genomics
Scientific career
Fields Bioinformatics, Health informatics, Personalized medicine, Genomics, Evolutionary Biology
Institutions Icahn School of Medicine at Mount Sinai
Doctoral advisor Atul 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[edit]

2017[edit]

  • Hodos, R; Zhang, P; Lee, H. C; Duan, Q; Wang, Z; Clark, N. R; Ma'Ayan, A; Wang, F; Kidd, B; Hu, J; Sontag, D; Dudley, J (2018). "Cell-specific prediction and application of drug-induced gene expression profiles". Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing. 23: 32–43. PMC 5753597. PMID 29218867.
  • Wang, Zichen; Li, Li; Glicksberg, Benjamin S; Israel, Ariel; Dudley, Joel T; Ma'Ayan, Avi (2017). "Predicting age by mining electronic medical records with deep learning characterizes differences between chronological and physiological age". Journal of Biomedical Informatics. 76: 59–68. doi:10.1016/j.jbi.2017.11.003. PMC 5716867. PMID 29113935.
  • Scott, Stuart A; Owusu Obeng, Aniwaa; Botton, Mariana R; Yang, Yao; Scott, Erick R; Ellis, Stephen B; Wallsten, Richard; Kaszemacher, Tom; Zhou, Xiang; Chen, Rong; Nicoletti, Paola; Naik, Hetanshi; Kenny, Eimear E; Vega, Aida; Waite, Eva; Diaz, George A; Dudley, Joel; Halperin, Jonathan L; Edelmann, Lisa; Kasarskis, Andrew; Hulot, Jean-Sébastien; Peter, Inga; Bottinger, Erwin P; Hirschhorn, Kurt; Sklar, Pamela; Cho, Judy H; Desnick, Robert J; Schadt, Eric E (2017). "Institutional profile: Translational pharmacogenomics at the Icahn School of Medicine at Mount Sinai". Pharmacogenomics. 18 (15): 1381–1386. doi:10.2217/pgs-2017-0137. PMC 5694020. PMID 28982267.

2016[edit]

  • Kini, Annapoorna S; Vengrenyuk, Yuliya; Shameer, Khader; Maehara, Akiko; Purushothaman, Meerarani; Yoshimura, Takahiro; Matsumura, Mitsuaki; Aquino, Melissa; Haider, Nezam; Johnson, Kipp W; Readhead, Ben; Kidd, Brian A; Feig, Jonathan E; Krishnan, Prakash; Sweeny, Joseph; Milind, Mahajan; Moreno, Pedro; Mehran, Roxana; Kovacic, Jason C; Baber, Usman; Dudley, Joel T; Narula, Jagat; Sharma, Samin (2017). "Intracoronary Imaging, Cholesterol Efflux, and Transcriptomes After Intensive Statin Treatment". Journal of the American College of Cardiology. 69 (6): 628–640. doi:10.1016/j.jacc.2016.10.029. PMID 27989886.
  • Shameer, Khader; Johnson, Kipp W; Yahi, Alexandre; Miotto, Riccardo; Li, LI; Ricks, Doran; Jebakaran, Jebakumar; Kovatch, Patricia; Sengupta, Partho P; Gelijns, Sengupta; Moskovitz, Alan; Darrow, Bruce; David, David L; Kasarskis, Andrew; Tatonetti, Nicholas P; Pinney, Sean; Dudley, Joel T (2017). "Predictive modeling of hospital readmission rates using electronic medical record-wide machine learning: a case-study using Mount Sinai Heart Failure Cohort". Biocomputing 2017. Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing. 22. pp. 276–287. doi:10.1142/9789813207813_0027. ISBN 978-981-320-780-6. PMC 5362124. PMID 27896982.
  • Karim, Sajjad; Noureldin, Hend Fakhri; Abusamra, Heba; Salem, Nada; Alhathli, Elham; Dudley, Joel; Sanderford, Max; Scheinfeldt, Laura B; Kumar, Sudhir (2016). "E-GRASP: An integrated evolutionary and GRASP resource for exploring disease associations". BMC Genomics. 17. doi:10.1186/s12864-016-3088-1.

2015[edit]

Google Scholar Citations

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

References[edit]

  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.

External links[edit]