Manuscript Topics

The increasing role of computer modeling, bioinformatics and operation research in medicine and biology has been remarkable over the last decades or so, owing to the rapid increase in computer processing speed and a greater demand on realistic models capable of predicting actual biological or medical phenomena and optimizing discovery through big data processing. Clearly, naturally occurring biological or physiological processes are complicated and often impossible to be sufficiently simulated or automate ex vivo using 1D or 2D idealized models, let alone its performance optimization. The trend is now moving towards using sophisticated patient-specific real time 3D models; some may even incorporate complex biomaterials or design structures in an effort to produce accurate surrogates to represent biological or medical processes in the laboratory. This drives a greater interest in the optimization of biomaterials, design structures, or biometric techniques with an ultimate aim of repairing or replacement of malfunctioned anatomical structures or translating laboratory research into real life applications. For most of such given problems, multi- objective optimization and data mining can provide the optimal solution using an integrated informatics platform. And machine learning such as artificial neural network, deep learning, evolutionary algorithm, and genetic algorithm are some of the other well-established computing techniques we can explore for solutions generation.

In the medical industry, using these algorithms can help biomedical engineers find the potential factors which affect the process design more accurately and improve bio-device performance. It can also identify trends that bridge the gaps among fragments of seemingly unrelated information. In addition, the process of information management also promotes the development of bioinformatics, including membrane computing, gene expressions, genetic computing, etc. for the development of new products in the medical industry. These new technologies can offer much higher quality and personalized service for humans.

This special issue is dedicated to report cutting edge theoretical, experimental, biological, or clinical investigations using advanced biomaterials, design structures, bioinformatics platform, or biometric techniques. We aim at elucidating the complex designs of life through laboratory investigations or computational modeling. We invite submissions from all fields in biomedical engineering, applied biology or medical sciences with a focus on the following:

• Optimization of flow or structural motions that occurs in nature for biometrics and/or bioinformatics studies.
• Development or optimization of biomaterials that mimic physiological structures.
• Novel design or experimental techniques based on multi-objective optimization.
• Understanding physiological processes into the design of devices for superior performance.
• Evolutionary algorithm that help predict disease initiation, progression or end-point to guide and optimize management through informatics.

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