Multiscale Computational Biomechanics and AI
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biomechanics and Sports Medicine".
Deadline for manuscript submissions: 31 May 2026 | Viewed by 16
Special Issue Editors
Interests: biomechanics; design innovation; nano/micro-technology; drug delivery devices
Special Issues, Collections and Topics in MDPI journals
Interests: bio-fluids; aerosol science; inhalation drug delivery; medical devices; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue focuses on the integration of multiscale modeling, computational biomechanics, and AI-driven techniques to address complex biological and biomedical challenges. We welcome contributions that span molecular, cellular, tissue, and organ-level mechanics, especially those that bridge scales through innovative computational frameworks. We invite original research articles, reviews, and case studies that explore innovative computational methods and their applications in understanding biomechanical phenomena.
Topics of interest include, but are not limited to, the following:
- Multiscale modeling of biological systems;
- Finite element and meshless methods in biomechanics;
- AI and machine learning in biomechanical simulations;
- Digital twins for personalized medicine;
- Data-driven modeling of tissue mechanics;
- Generative AI for synthetic biomechanical data;
- Physics-informed neural networks (PINNs) for integrating governing equations with deep learning in biomechanical modeling;
- Markerless motion capture and computer vision for biomechanical assessment beyond laboratory settings;
- Biomechanics of growth, adaptation, and remodeling;
- Computational modeling of disease progression (e.g., cancer, cardiovascular, neurodegenerative);
- Soft tissue mechanics and viscoelastic modeling;
- Coupled fluid-structure interaction in biological systems;
- Multiphysics simulations in bioengineering;
- High-performance computing and GPU-accelerated biomechanics;
- Inverse modeling and parameter estimation using AI;
- Integration of imaging data into biomechanical models;
- Predictive modeling for surgical planning and rehabilitation;
- Bio-signal processing.
Prof. Dr. Ramana Pidaparti
Dr. Jinxiang Xi
Guest Editors
Dr. Israr Ibrahim
Guest Editor Assistant
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 250 words) can be sent to the Editorial Office for assessment.
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. Bioengineering is an international peer-reviewed open access monthly 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 2700 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
- multiscale biomechanics
- computational modeling
- machine learning in bioengineering
- tissue mechanics
- finite element analysis
- AI in biomechanics
- physics-informed neural networks (PINNs)
- markerless motion capture
- generative AI
- digital twin
- biomechanical simulation
- biofluid dynamics
- mechanobiology
- personalized medicine
- biomedical applications
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