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.

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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.

See Karlas et al.

Image: INMYWORK Studio, Abu Dabi, UAE. Cover design: Alex Wing.

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Life Sciences > Health Sciences > Clinical Medicine > Diseases > Diabetes