Call for Papers

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This 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: 15 September 2024
First Notification: 1 November 2024
Acceptance Notification: 15 January 2024
Final Manuscript Due: 15 February 2024
Publication Date: March 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