Ricardo Henao

Ricardo Henao

Associate Professor in Biostatistics & Bioinformatics

Appointments and Affiliations

  • Associate Professor in Biostatistics & Bioinformatics
  • Assistant Professor in the Department of Electrical and Computer Engineering
  • Member of Duke Center for Applied Genomics and Precision Medicine

Contact Information

  • Office Location: 140 Science Drive, Durham, NC 27710
  • Office Phone: (919) 668-0647
  • Email Address: ricardo.henao@duke.edu

Education

  • Ph.D. Technical University of Denmark (Denmark), 2011

Courses Taught

  • ECE 392: Projects in Electrical and Computer Engineering
  • ECE 494: Projects in Electrical and Computer Engineering
  • ECE 891: Internship
  • ECE 899: Special Readings in Electrical Engineering
  • EGR 393: Research Projects in Engineering
  • IDS 793: Independent Study

In the News

Representative Publications

  • Economou-Zavlanos, NJ; Bessias, S; Cary, MP; Bedoya, AD; Goldstein, BA; Jelovsek, JE; O'Brien, CL; Walden, N; Elmore, M; Parrish, AB; Elengold, S; Lytle, KS; Balu, S; Lipkin, ME; Shariff, AI; Gao, M; Leverenz, D; Henao, R; Ming, DY; Gallagher, DM; Pencina, MJ; Poon, EG, Translating ethical and quality principles for the effective, safe and fair development, deployment and use of artificial intelligence technologies in healthcare., J Am Med Inform Assoc, vol 31 no. 3 (2024), pp. 705-713 [10.1093/jamia/ocad221] [abs].
  • Hong, C; Liu, M; Wojdyla, DM; Hickey, J; Pencina, M; Henao, R, Trans-Balance: Reducing demographic disparity for prediction models in the presence of class imbalance., J Biomed Inform, vol 149 (2024) [10.1016/j.jbi.2023.104532] [abs].
  • Assaad, S; Dov, D; Park, C; Davis, R; Kovalsky, SZ; Lee, WT; Kahmke, RR; Rocke, DJ; Cohen, J; Weiss-Meilik, A; Henao, R; Carin, L; Range, D, A preliminary study comparing the performance of thyroid molecular tests to a deep learning algorithm in predicting malignancy in indeterminate thyroid fine needle aspiration biopsies., Thyroid : Official Journal of the American Thyroid Association (2023) [10.1089/thy.2023.0054] [abs].
  • Steinbrink, JM; Liu, Y; Henao, R; Tsalik, EL; Ginsburg, GS; Ramsburg, E; Woods, CW; McClain, MT, 305. PBMC-Derived Transcriptomic Signatures Accurately Discriminate Between Viral, Bacterial, and Fungal Infections and can be Translated to Real-World Human Infections, Open Forum Infectious Diseases, vol 10 no. Supplement_2 (2023) [10.1093/ofid/ofad500.377] [abs].
  • Dow, ER; Jeong, HK; Katz, EA; Toth, CA; Wang, D; Lee, T; Kuo, D; Allingham, MJ; Hadziahmetovic, M; Mettu, PS; Schuman, S; Carin, L; Keane, PA; Henao, R; Lad, EM, A Deep-Learning Algorithm to Predict Short-Term Progression to Geographic Atrophy on Spectral-Domain Optical Coherence Tomography., Jama Ophthalmology, vol 141 no. 11 (2023), pp. 1052-1061 [10.1001/jamaophthalmol.2023.4659] [abs].