Automated disease diagnostics for low-resource areas using mobile phones
By: M.V. D’Ambrosio, M. Bakalar, C. Reber, F. Myers, D. Friedman, A. Joffe and D.A. Fletcher
Authors
M.V. D’Ambrosio
Department of Bioengineering & Blum Center, UC Berkeley, Berkeley, CA, USA
M. Bakalar
Department of Bioengineering & Blum Center, UC Berkeley, Berkeley, CA, USA
C. Reber
Department of Bioengineering & Blum Center, UC Berkeley, Berkeley, CA, USA
F. Myers
Department of Bioengineering & Blum Center, UC Berkeley, Berkeley, CA, USA
D. Friedman
Department of Bioengineering & Blum Center, UC Berkeley, Berkeley, CA, USA
A. Joffe
Department of Bioengineering & Blum Center, UC Berkeley, Berkeley, CA, USA
D.A. Fletcher
Department of Bioengineering & Blum Center, UC Berkeley, Berkeley, CA, USA
DOI: https://doi.org/10.1016/j.aogh.2016.04.245 | Journal eISSN: 2214-9996
Language: English
Published on: Aug 20, 2016
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
© 2016 M.V. D’Ambrosio, M. Bakalar, C. Reber, F. Myers, D. Friedman, A. Joffe, D.A. Fletcher, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.