Optoacoustically detected skin angiopathy correlates with diabetes stage
Skin-microangiopathy phenotypes can be correlated with diabetes stage by leveraging clinically explainable morphophysiological features obtained from the analysis, via machine learning, of raster-scan optoacoustic mesoscopy images of skin on the leg.
Published in
General & Internal Medicine
The cover illustrates that explainable morphophysiological features extracted via machine learning from raster-scan optoacoustic mesoscopy images of the skin can be used to correlate skin-microangiopathy phenotypes with diabetes stage.
Image: INMYWORK Studio, Abu Dabi, UAE. Cover design: Alex Wing.
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Diabetes
Life Sciences > Health Sciences > Clinical Medicine > Diseases > Diabetes
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Nature Biomedical Engineering
This journal aspires to become the most prominent publishing venue in biomedical engineering by bringing together the most important advances in the discipline, enhancing their visibility, and providing overviews of the state of the art in each field.
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