Cytology., Orthopedics., Biomedical engineering., Biomedical materials., Materials science., Medicine., Molecular Medicine., and Biophysics and Biological Physics.

Developments in the area of biomaterials, bionanotechnology, tissue engineering, and medical devices are becoming the core of health care. Almost all medical specialties involve the use of biomaterials, and research plays a key role in the development of new and improved treatment modalities. This volume focuses on several current trends in tissue engineering, remodelling and regeneration. Leading researchers describe the use of nanomaterials to create new functionalities when interfaced with biological molecules or structures. In addition to coverage of basic science and engineering aspects, a range of applications in bionanotechnology are presented, including diagnostic devices, contrast agents, analytical tools, physical therapy applications, and vehicles for targeted drug delivery. The use of polymers, alloys, and composites, or a combination of these, for biomaterials applications in orthopaedics is also explored. These contributions represent essential reading for the biomaterials and biomedical engineering communities, and can serve as instructional course lectures targeted at graduate and post-graduate students.

Includes the latest results in highly interdisciplinary aspects of the field such as synthetic morphogens and promorphogens in tissue regeneration, the use of restriction enzymes, and endothelial cell response to metals

Presents cutting-edge research on scaffold design and processing for bone tissue engineering, and biodegradable and biocompatible composites in orthopaedic applications

Discusses state-of-the-art developments in treatment and diagnostics

Highlights practical aspects of rapid prototyping in developing new implants

Organized for use as instructional course lectures

Artificial Intelligence (incl. Robotics), Computer science., Information theory., Computer software., Artificial intelligence., Theory of Computation., Algorithm Analysis and Problem Complexity., and Programming Techniques.

These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Topics in this volume include: evolutionary constraints, relaxation of selection mechanisms, diversity preservation strategies, flexing fitness evaluation, evolution in dynamic environments, multi-objective and multi-modal selection, foundations of evolvability, evolvable and adaptive evolutionary operators, foundation of injecting expert knowledge in evolutionary search, analysis of problem difficulty and required GP algorithm complexity, foundations in running GP on the cloud – communication, cooperation, flexible implementation, and ensemble methods. Additional focal points for GP symbolic regression are: (1) The need to guarantee convergence to solutions in the function discovery mode; (2) Issues on model validation; (3) The need for model analysis workflows for insight generation based on generated GP solutions – model exploration, visualization, variable selection, dimensionality analysis; (4) Issues in combining different types of data. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.