Evolutionary Strategies in Biological Systems Repurposed for Public Safety and Health
A special issue of Biomimetics (ISSN 2313-7673). This special issue belongs to the section "Development of Biomimetic Methodology".
Deadline for manuscript submissions: closed (31 March 2023) | Viewed by 3352
Special Issue Editors
Interests: AI; neuroscience; biology; origin of life; public policy
Interests: evolution; cell signaling; neuroscience; science policy
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The study of natural systems, from molecules to cells and organisms to social networks, enables insights into complex rule sets that encode information for the emergence of dynamic complex adaptive systems. Understanding these rule sets, and the elements that enable them, is crucial for developing, through artificial or synthetic biological means, tools and strategies to protect human health and society based on intelligent systems design within nanotechnology, biologics, and machine learning. Additionally, convergent research on co-evolutionary systems as seen in genetically encoded behavior modifying peptides, biological toxins, and viral–host system interactions enables an additional venue for exploring regulatory features of biological systems embedded within predator–prey dynamics and organismal survival strategies. Convergent research from the many different disciplines empowers national and public health strategies for biodefense, healthcare, and national security.
This Special Issue aims to leverage recent advances in various interrelated fields that aim to uncover principles of natural selection shared within biological systems across the biosphere. The overarching aim is to develop new tools and strategies that can benefit humanity through greater health and safety. The Special Issue welcomes original research and review articles as well as hypothesis and position papers from both experimental and modeling approaches aimed at the study of natural design and evolutionary principles. We highly encourage submissions from multidisciplinary efforts across the domains of science and policy.
Prof. Dr. James L. Olds
Dr. Nadine Kabbani
Guest Editors
Manuscript Submission Information
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Keywords
- systems biology
- evolution
- synthetic biology
- artificial intelligence
- biodefense
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