EPJ ST Special Issue: Advancing Biocomplexity in Multidisciplinary Research

Guest Editors: Erika E. Rodriguez-Torres, Alejandra Rosales-Lagarde, Oralia Nolasco-Jáuregui

Recent breakthroughs in neurosciences, genetics, and related fields have ushered in an era of transformative research, urging the integration of cutting-edge technologies to unravel the intricacies of biocomplexity. This multidisciplinary approach is pivotal for achieving a comprehensive understanding of how physiological networks function and adapt. We invite researchers across various disciplines to contribute to this dynamic landscape, exploring new directions that align with the latest developments in biocomplexity, science and technology.

Areas covered by this topic include applications, but are not limited to:

  • Gait
  • Wearable clothing to measure changes in electrophysiology
  • Neuromuscular, muscular, and metabolic sciences
  • Neurorehabilitation and Assisted Physical Therapy Adaptive Haptics
  • Cardiovascular sciences
  • Neurocognitive science and neurophysiology
  • Continuous physiological monitoring and analysis
  • Modeling and prediction of resilient physiological states
  • Brain Criticality in Health and Disease
  • Complexity and its applications to neurosciences
  • Hardware input designs
  • Embedded systems
  • Acquisition systems
  • Biomedical prototypes in biosignals acquisition
  • Synchronization in network physiology
  • Sleep analysis

This research topic seeks to bridge the gaps between various disciplines and foster collaboration to unlock the full potential of understanding biocomplexity. By leveraging recent advances in mathematics, physics, control, automation, biocomplexity, and related fields, researchers can gain deeper insights into the complex systems underlying human physiology. Ultimately, this multidisciplinary approach will contribute to improving patient outcomes, enhancing caregiving practices, and advancing our understanding of complex systems.

Submission deadline: 30 April 2024

Articles should be submitted to the Editorial Office of EPJ ST via the submission system, and should be clearly identified as intended for the topical issue “Advancing Biocomplexity in Multidisciplinary Research”.

More detailed author information including paper types can be found in the Submission Guidelines. For the preparation of the manuscripts a special latex template (preferably single-column layout) is available here.

EPJ ST is an ISI-listed journal with an impact factor of 2.8 (2022) - Q2 quartile in the multidisciplinary physics category of Web of Science.

Guest Editors:

Erika E. Rodriguez-Torres, Guadalupe Victoria 28, Pachuquilla, Mineral de la Reforma, Hidalgo, 42180, Mexico, Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Alejandra Rosales-Lagarde, Dr. Barragán 512. Col. Narvarte. Alcaldía Benito Juárez. CDMX 03020, Mexico, Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Oralia Nolasco-Jáuregui, 7447 SE Chinkapin DR, Hillsboro OR 97123 USA , Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Open Access: EPJST is a hybrid journal offering Open Access publication via the Open Choice programme and a growing number of Transformative Agreements. If the institution of the CORRESPONDING AUTHOR is part of such a Transformative Agreement, the Open Access fee will be covered by the agreement partner. All agreements are listed with more details under TRANSFORMATIVE Agreements. Eligibility will be automatically verified when the corresponding author is requested to complete the relevant affiliation information after acceptance of the paper during the production process. Corresponding authors not affiliated to institutes with Transformative Agreements are redirected to proceed with “Please select your publishing model” and have to decide between paying the current Open Access fee or choosing the subscription option without any publication charges.

Open calls for papers