Springer Nature Editor
From the Editors

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.
Go to the profile of Pep Pàmies
Pep Pàmies
Chief Editor, Nature Biomedical Engineering, Nature Research
Like
Go to the profile of India Ambler

Share this post

Choose a social network to share with, or copy the URL to share elsewhere

Share with...

...or copy the link

This is a representation of how your post may appear on social media. The actual post will vary between social networks

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.

Go to the profile of Pep Pàmies
Pep Pàmies
Chief Editor, Nature Biomedical Engineering, Nature Research

Please sign in or register for FREE

If you are a registered user on Research Communities by Springer Nature, please sign in

Sign In Register

Follow the Topic

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

Related Collections

With Collections, you can get published faster and increase your visibility.

Implantable wireless communication technologies

This collection brings together research that addresses critical engineering challenges in implantable wireless communications. It demonstrates how electromagnetic, optical, acoustic, or hybrid methods can be engineered to achieve reliable wireless communications and power delivery through biological tissues.

Publishing Model: Hybrid

Deadline: Nov 28, 2026

Explore this Collection

Biosensing

With this cross-journal Collection, the editors of Communications Biology, Nature Biomedical Engineering, Nature Sensors, Nature Communications, and Scientific Reports welcome the submission of primary research Articles focusing on the development of engineered biosensing devices with the potential to be applied in biomedical research and in the management of disease conditions.

Publishing Model: Hybrid

Deadline: Jun 30, 2026

Explore this Collection

Recommended Content

Cookies

We use cookies to ensure the functionality of our website, to personalize content and advertising, to provide social media features, and to analyze our traffic. If you allow us to do so, we also inform our social media, advertising and analysis partners about your use of our website. You can decide for yourself which categories you want to deny or allow. Please note that based on your settings not all functionalities of the site are available.

Further information can be found in our privacy policy.

Cookie Control

Customise your preferences for any tracking technology

The following allows you to customize your consent preferences for any tracking technology used to help us achieve the features and activities described below. To learn more about how these trackers help us and how they work, refer to the cookie policy. You may review and change your preferences at any time.

See the full cookie policy See the full privacy policy
More information

These trackers are used for activities that are strictly necessary to operate or deliver the service you requested from us and, therefore, do not require you to consent.

More information

These trackers help us to deliver personalized marketing content and to operate, serve and track ads.

More information

These trackers help us to deliver personalized marketing content to you based on your behaviour and to operate, serve and track social advertising.

More information

These trackers help us to measure traffic and analyze your behaviour with the goal of improving our service.

More information

These trackers help us to provide a personalized user experience by improving the quality of your preference management options, and by enabling the interaction with external networks and platforms.