Author
Listed:
- Robert G. Mannino
(The Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University
Emory University School of Medicine
Georgia Institute of Technology)
- David R. Myers
(The Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University
Emory University School of Medicine
Georgia Institute of Technology)
- Erika A. Tyburski
(The Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University
Emory University School of Medicine
Georgia Institute of Technology)
- Christina Caruso
(Emory University School of Medicine)
- Jeanne Boudreaux
(Emory University School of Medicine)
- Traci Leong
(Emory University)
- G. D. Clifford
(The Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University
Emory University)
- Wilbur A. Lam
(The Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University
Emory University School of Medicine
Georgia Institute of Technology)
Abstract
We introduce a paradigm of completely non-invasive, on-demand diagnostics that may replace common blood-based laboratory tests using only a smartphone app and photos. We initially targeted anemia, a blood condition characterized by low blood hemoglobin levels that afflicts >2 billion people. Our app estimates hemoglobin levels by analyzing color and metadata of fingernail bed smartphone photos and detects anemia (hemoglobin levels
Suggested Citation
Robert G. Mannino & David R. Myers & Erika A. Tyburski & Christina Caruso & Jeanne Boudreaux & Traci Leong & G. D. Clifford & Wilbur A. Lam, 2018.
"Smartphone app for non-invasive detection of anemia using only patient-sourced photos,"
Nature Communications, Nature, vol. 9(1), pages 1-10, December.
Handle:
RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-07262-2
DOI: 10.1038/s41467-018-07262-2
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