Numerical Simulation and AI in Biological Systems
A special issue of Bioengineering (ISSN 2306-5354).
Deadline for manuscript submissions: 30 June 2025 | Viewed by 503
Special Issue Editor
Interests: cardiovascular and respiratory system numerical/hybrid modelling; e-learning and medical simulation training; numerical stem cell therapy
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent decades, scientific research and the medical and sports community have paid close attention to biomedical engineering, which integrates information from multiple medical, engineering, and informatics domains. In order to better grasp how to employ modern simulation and Artificial Intelligent (AI) software for therapy optimization and outcome prediction based on patient-specific modeling, many physicians have given it some thought.
Specific clinical uses include understanding human pathologies and diseases, advancing the fields of biology and medicine, and enhancing diagnosis, treatment, and therapeutic outcomes.
Athletes' performances can be studied and improved with a variety of AI tools and computational modeling. The development of numerical or hybrid (numerical-hydraulic) models may also aid in reducing the quantity of animal testing and may enhance animal welfare.
Last but not least, the study of biological issues including stem cell therapy, tumor treatment, wound healing, microfluidics, and diffusion processes has been made possible by the development of numerical models and AI tools.
Many universities and hospitals utilize simulation software, and AI tools that describe organ or cell behavior are becoming increasingly popular for teaching purposes.
This Special Issue focuses on numerical modeling and artificial intelligence techniques applied to solve complex problems in the field of biomechanical and biomedical engineering, including, but not limited to, the following:
- computational biofluid dynamics;
- multiscale flow modeling (3D, 1D, and 0D models);
- cardiovascular mechanics;
- biomechanics in athletics;
- AI tools applied in biological fields;
- movement analysis and biomechanics for endurance sports;
- clinical application of novel numerical algorithms to the biomedical engineering;
- the use of numerical simulation in education;
- tissue and cell mechanics;
- numerical methods applied to biomechanics;
- computer assisted surgery and fluid dynamics;
- application and impact of numerical models for decision making in sport;
- molecular and cell therapies.
As such, high-quality original research papers are welcome.
Dr. Claudio De Lazzari
Guest Editor
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 100 words) can be sent to the Editorial Office for announcement on this website.
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
- numerical model
- software simulator
- AI tools
- e-learning
- 0D, 1D, and 3D model
- clinical environment
- hybrid model
- athletic performance
- biomechanics in athletics
- movement analysis
- computer assist surgery
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