Paper accepted for publication

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Our #paper entitled “Machine Learning in Nano-Scale Biomedical Engineering”, has been accepted for publication in IEEE Transactions on Molecular, Biological, and Multi-Scale Communications. #MachineLearning (ML) empowers #biomedical systems with the capability to optimize their performance through modeling of the available data extremely well, without using strong assumptions about the modeled system. Especially in #nano-scale #biosystems, where the generated #datasets are too vast and complex to mentally parse without computational assist, ML is instrumental in analyzing and extracting new insights, accelerating #material and #structure discoveries, and designing experience as well as supporting nano-scale #communications and #networks. However, despite these efforts, the use of ML in nano-scale #biomedical #engineering remains still under-explored in certain areas and research challenges are still open in fields such as structure and material design and simulations, communications and signal processing, and bio-medicine applications. This paper is a review of the existing #research literature in this field.
The paper was co-authored by: Alexandros-Apostolos A. Boulogeorgos, Stylianos E. Trevlakis, Sotirios A. Tegos, Vasilis K. Papanikolaou, and George K. Karagiannidis.
You can find a version of the paper in #researchgate: https://www.researchgate.net/publication/344764320_Machine_Learning_in_Nano-Scale_Biomedical_Engineering

PAPER ACCEPTED FOR PUBLICATION

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Our paper entitled “Electrical vs Optical Cell Stimulation: A communication perspective” has been accepted for publication in #IEEE #Access. It was co-authored by: Stylianos E. Trevlakis, Alexandros-Apostolos A. Boulogeorgos, Nestor D. Chatzidiamantis, George K. Karagiannidis, and Xianfu Lei.

Paper accepted for Publication

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Our #paper entitled “Optical wireless communications for in-body and transdermal biomedical applications” was accepted for publication in #IEEE#Communications#Magazine (IF: 11.05). This #paper discusses the fundamental architectures for optical-wireless-systems for biomedical-applications. After summarizing the main applications and reporting their requirements, we describe the characteristics of the #transdermal and #in-body optical-channels (OCs) as well as the challenges that they impose in the design of #communication systems. Specifically, we provide three possible #architectures for transdermal communications, namely electro-optical (EO) monitoring, optoelectrical (OE), and all-optical (AO) for #neural#stimulation, which are currently under investigation, whereas for in-body communications, we provide a nano-scale AO (NAO) concept. For each architecture, we discuss the main operation principles, the technology enablers, and research directions for their development. Finally, we highlight the necessity of designing an #information#theoretic framework.#researchgate: https://www.researchgate.net/publication/344218864_Optical_wireless_communications_for_in-body_and_transdermal_biomedical_applicationsAuthors: Alexandros-Apostolos A. Boulogeorgos, Stelios Trevlakis, and Chatzidiamantis Nestor

New Preprint: “Machine Learning in Nano-Scale Biomedical Engineering”

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#preprint of our #paper, entitled “Machine Learning in Nano-Scale Biomedical Engineering”, has been uploaded in #ArXiV#MachineLearning (ML) empowers #biomedical systems with the capability to optimize their performance through modeling of the available data extremely well, without using strong assumptions about the modeled system. Especially in #nano-scale #biosystems, where the generated #datasets are too vast and complex to mentally parse without computational assist, ML is instrumental in analyzing and extracting new insights, accelerating #material and #structure discoveries, and designing experience as well as supporting nano-scale #communications and #networks. However, despite these efforts, the use of ML in nano-scale #biomedical #engineering remains still under-explored in certain areas and research challenges are still open in fields such as structure and material design and simulations, communications and signal processing, and bio-medicine applications. This paper is a review of the existing #research literature in this field. You can read the full paper at https://lnkd.in/gCNGSba.

PAPER ACCEPTED FOR PUBLICATION

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Our paper entitled “How much do hardware imperfections affect the performance of reconfigurable intelligent surface-assisted systems?” has been accepted for publication to IEEE Open Journal of the Communications Society.