Computational Modeling and Data Analysis in Biological and Health-Related Processes

Dear Colleagues,

Advances in experimental biology, biotechnology, and data acquisition have led to a surge of high-resolution data across scales—from molecular signatures and clinical data to time-series measurements in microbial, cellular, and engineered systems. Alongside these developments, the integration of computational modeling, systems engineering, and artificial intelligence (AI) provides powerful new ways to simulate, analyze, and optimize complex biological processes.

This Special Issue, “Computational Modeling and Data Analysis in Biological and Health-Related Processes,” welcomes contributions that combine mechanistic or data-driven models with experimental or observational data to improve understanding, prediction, and control of biological systems. We are particularly interested in studies that connect data analysis with biological processes, from sub-cellular mechanisms and microbial interactions to bioreactor dynamics and health-related applications.

Topics may include (but are not limited to) the following:

• Modeling metabolic, signaling, or genetic systems;
• Model estimation and sensitivity analysis;
• Machine learning for modeling biological systems;
• Multi-modal data integration and biomarker discovery;
• Data analysis in biological or health-related studies;
• AI and decision-support in bio/health systems;
• Optimization of bioprocesses or health-related workflows.

We hope this Special Issue can bring together researchers working across different fields to share new ideas and methods. We warmly invite your contributions and look forward to your support.

Dr. Zuyi (Jacky) Huang
Dr. Yunyun Zhou
Guest Editors

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. Processes is an international peer-reviewed open access semimonthly 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 2400 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.