Journal Information
IEEE Transactions on Molecular, Biological, and Multi-Scale Communications (TMBMC)
https://www.comsoc.org/publications/journals/ieee-tmbmcImpact Factor: |
2.400 |
Publisher: |
IEEE |
ISSN: |
2372-2061 |
Viewed: |
8395 |
Tracked: |
0 |
Call For Papers
As a result of recent advances in MEMS/NEMS and systems biology, as well as the emergence of synthetic bacteria and lab/process-on-a-chip techniques, it is now possible to design chemical “circuits”, custom organisms, micro/nanoscale swarms of devices, and a host of other new systems at small length scales, and across multiple scales (e.g., micro to macro). This success opens up a new frontier for interdisciplinary signaling techniques using chemistry, biology, novel electron transfer, and other principles not previously examined. This journal is devoted to the principles, design, and analysis of signaling and information systems that use physics beyond conventional electromagnetism, particularly for small-scale and multi-scale applications. This includes: molecular, quantum, and other physical, chemical and biological (and biologically-inspired) techniques; as well as new signaling techniques at these scales. As the boundaries between communication, sensing and control are blurred in these novel signaling systems, research contributions in a variety of areas are invited. Original research articles on one or more of the following topics are within the scope of the journal: mathematical modeling, information/communication-theoretic or network-theoretic analysis, networking, implementations and laboratory experiments, systems biology, data-starved or data-rich statistical analyses of biological systems, industrial applications, biological circuits, biosystems analysis and control, information/communication theory for analysis of biological systems, unconventional electromagnetism for small or multi-scale applications, and experiment-based studies on information processes or networks in biology. Contributions on related topics would also be considered for publication.
Last updated by Dou Sun in 2024-07-24
Special Issues
Special Issue on Feedback Control in Multicellular Molecular Communication SystemsSubmission Date: 2024-11-15The advancement of synthetic biology has enabled the construction of intricate biomolecular circuits spanning multiple layers, from the level of genes to cells, tissues and organs facilitated by molecular-based communication at the cellular population level. The multilayer control and communication of biocircuits have opened the opportunity to harness the collective power of individual molecular components and elevate them into sophisticated dynamical systems capable of orchestrating complex behaviors, such as pattern formation, spatial organization, and collective decision-making. The field of control engineering is increasingly important in advancing the rational design of even more sophisticated dynamic molecular communication (MC) systems. In particular, control theory can provide valuable insights for the design of regulatory mechanisms achieving stable and robust coordination of MC systems. The aim of this Special Issue is to facilitate the interaction of researchers from the MC and the control community. The Special Issue focuses on control aspects of multicellular MC systems, ranging from fundamental theory to experimental applications. We invite submissions on the following topics (but are not limited to): Fundamental control and communication theory for multi-cellular control systems Modeling of reaction, diffusion and signal propagation kinetics at the level of cell populations, tissues and organs Analysis methods of spatio-temporal kinetics at the level of cell populations, tissues and organs Design of molecular feedback controller for multi-cellular control systems Computational toolkits for analyzing and optimizing multi-cellular control systems Multi-cellular control systems using Internet of Bio-Nano Things (IoBNT) Engineering multi-cellular control systems using synthetic biology Experimental testbeds for actuating and measuring multicellular control systems Experimental verification of design/control strategies of multi-cellular control systems Submission Guidelines Prospective authors should submit their manuscripts following the IEEE TMBMC guidelines. Authors should submit a manuscript through Manuscript Central. Important Dates Manuscript Submission Deadline: 15 November 2024 First Notification: 15 February 2025 Acceptance Notification: 31 April 2025 Final Manuscript Due: 15 June 2025 Publication Date: June 2025 Accepted papers will be published Early Access on IEEE Xplore immediately after acceptance, and then included in the Special Issue planned for June 2025. Guest Editors Yutaka Hori (Lead Guest Editor) Keio University, Japan Giulia Giordano University of Trento, Italy Christopher Rose Brown University, USA Ken Duffy Northeastern University, USA
Last updated by Dou Sun in 2024-07-24
Special Issue on The Internet of BioNanoThings – Applications, Components, and ChallengesSubmission Date: 2024-12-15One of the most fascinating envisioned applications of Molecular Communications (MC) is the realization of the Internet of BioNanoThings (IoBNT) which is expected to significantly extend the reach of digitalization and to have a strong influence on the evolution of digital health in society. The IoBNT should allow the detection and treatment of diseases inside the human body based on the communication between an in-body network of nanodevices and an external control unit. The in-body network includes synthetic or biological sensors and actuators fixed in or moving through the cardiovascular system to detect biomarkers and provide localized and personalized treatment. The technical feasibility of the IoBNT requires the deployment of an MC network inside the body, a gateway between the inner and the outer network, and suitable and secure communication protocols for the involved monitoring and control processes. Next to these technical challenges, also societal questions concerning the privacy of sensitive data and ethical issues have to be taken into account. All of these challenges are of interdisciplinary nature and their solution requires the close collaboration of researchers from engineering and life sciences. This Special Issue aims to address the topic from a holistic point of view and to facilitate the interaction between researchers from MC and life sciences. Therefore, we welcome a variety of topics related to applications within the IoBNT. To this end, we invite submissions on the following topics (but are not limited to): Applications and concepts for the IoBNT Communication protocols for the IoBNT Gateway design and communication interfaces for the IoBNT Information theoretical limits of in-body to out-of-body communication Experimental design of communication nodes (transmitters, receivers, relays) for the IoBNT Security and privacy issues in the IoBNT Edge and Cloud Computing for IoBNT Materials and devices for IoBNT Engineering biosensors for IoBNT AI and Machine Learning in IoBNT Submission Guidelines Prospective authors should submit their manuscripts following the IEEE TMBMC guidelines. Authors should submit a manuscript trough Manuscript Central. Important Dates Manuscript Submission Deadline: 15 December 2024 First Notification: 12 February 2025 Acceptance Notification: 15 April 2025 Final Manuscript Due: 1 May 2025 Publication Date: July 2025 Guest Editors Maximilian Schäfer Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany Robert Schober Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany Laura Galluccio University of Catania, Italy Falko Dressler Technical University of Berlin, Germany Stefan Fischer University of Lübeck, Germany Cyrus Khandanpour University Hospital Schleswig-Holstein, Germany
Last updated by Dou Sun in 2024-10-03
Special Issue on Microphysiological Systems to Study and Experiment Bio-molecular Communications and ComputingSubmission Date: 2025-02-01This Special Issue (SI) focuses on microphysiological systems that can be used to characterize, study and experiment natural bio-communications, as well as artificial molecular communication and computing. Microphysiological systems are infrastructure that interconnects a sequence of organs-on-chips or in vitro constructs to enable deep understandings of two- or three-dimensional cellular models. Such systems can facilitate deep understandings of molecular communications not only within homogeneous tissues, but also between different organs. The SI aims to attract submissions on the use of microphysiological system to understand molecular communication, as well as new technologies that can be integrated into microphysiological system to sense communication molecules. We wish to investigate using microphysiological systems that can be used for studying biological intelligence. The concept revolves around using in vitro models to extract natural computing functions and one example is organoid intelligence. This can be used for natural cell models or engineered synthetic systems that lead to new forms of biological computations. This can result in new understanding of how synthetic biology used to engineer biological communications, can lead to new insights for biological intelligence, which can lead to new discoveries for the field of Artificial Intelligence. The SI is also open to using microphysiological systems to understand the underlying principles that control life based on cell communication. The knowledge gained from works on this SI has the potential to lead to revolutionary advancements in a variety of fields, including medicine, environmental science, and information technology. To this end, we invite submissions on the following topics (but are not limited to): Using microphysiological systems to understand natural and engineered bio-molecular communications Advanced design and new technologies for microphysiological systems Integration of AI and machine learning tools with microphysiological system for bio-molecular communications and computing analysis Organoid and biological intelligence Novel applications and paradigms in biological AI AI in imaging and molecular data analysis of bio-molecular communications Ethical and safety considerations of using microphysiological systems for studying bio-molecular communications Submission Guidelines Prospective authors should submit their manuscripts following the IEEE TMBMC guidelines. Authors should submit a manuscript through Manuscript Central. Important Dates Manuscript Submission Deadline: 1 February 2025 First Notification: 1 April 2025 Acceptance Notification: 1 June 2025 Final Manuscript Due: 1 July 2025 Publication Date: September 2025 Guest Editors Michael Barros (Lead Editor) University of Essex, UK Reinhold Scherer University of Essex, UK Jari Hyttinen Tampere University, Finland Gabriella Panuccio Italian Institute of Technology, Italy
Last updated by Dou Sun in 2024-10-03
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Standards | MDPI | |
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