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Advanced Wearable Sensors for Medical Applications

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".

Deadline for manuscript submissions: 31 July 2024 | Viewed by 177

Special Issue Editors


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Guest Editor
Independent Researcher, 330 01 Pilsen, Czech Republic
Interests: in-silico modelling; artificial intelligence; high-performance computing; diabetes

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Guest Editor
Department of Information Engineering, University of Padua, Via Gradenigo 6, 35131 Padova, Italy
Interests: deep learning (ensembles of deep learners, transfer learning); computer vision (general-purpose image classifiers, medical image classification, texture descriptors); biometrics systems (fingerprint classification and recognition, signature verification, face recognition)
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Special Issue Information

Dear Colleagues,

Personalized medicine conveys new, exciting challenges to our research when working with sensors, artificial intelligence, and wearable and smart devices to enhance the existing state of the art in personalized medicine. In recent years, we have observed great progress, as engineering has greatly contributed to the success of personalized medicine. Today, we employ a wide range of sensors and wearables to collect various data, which we can feed to artificial intelligence and in silico models. We are thus also able to create new and enhance existing diagnostics and therapeutics methods, which could be utilized to precisely target individual patients. However, this does not come for free. With new and improved methods, we see novel opportunities to improve the underlying models with extended datasets. This poses new challenges to sensors and wearables, and thus increases their capabilities. On the other hand, smart devices usually possess a low power, so that the computing power required for data processing must be limited or connected to the cloud. All these issues create manifold research challenges, and are therefore exiting to engage with.

This Special Issue will address topics related to the delivery of personalized medicine. These span sensory input to diagnostics methods, including, but not limited to, the following:

  • Data collection and process with wearables and smart sensors.
  • Application of artificial intelligence in medical sensors.
  • Intelligent sensors for personalized/precision medicine.
  • Image recognition and classification in medical sensing.

Dr. Tomas Koutny
Dr. Loris Nanni
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • sensors
  • personalized medicine
  • smart devices
  • wearables
  • imaging
  • artificial intelligence
  • deep learning
  • diagnostics

Published Papers

This special issue is now open for submission.
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