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Full Description
Computational Approaches in Bioengineering, Volume 2—Computational Approaches in Biomaterials and Biomedical Engineering Applications is a comprehensive and up-to-date resource that provides a broad overview of the use of computational methods in the fields of biomaterials and biomedical engineering. Written by a team of experts in the field of biomaterials and biomedical engineering, it provides a wealth of information on the use of computational methods in these fields. Furthermore, it explores emerging trends and discusses future directions and associated limitations in the field. Through thorough exploration and explanation, it showcases the latest research and advancements, offering valuable insights into how computational methods are utilized to design and optimize biomaterials, simulate biological processes, and develop innovative medical devices.
FEATURES
Provides practical guidance and real-world examples to help readers apply computational approaches effectively in their work
Explores the diverse computational approaches employed in biomaterials and biomedical engineering applications, offering a comprehensive view of the field
Introduces emerging topics and cutting-edge techniques, keeping wide range of readers at the forefront of advancements in computational bioengineering
Discusses the integration of computational methods in biomaterials and biomedical engineering, fostering a deeper understanding of their synergistic potential
Provides a valuable resource for researchers, practitioners, and students alike, serving as a comprehensive guide to computational approaches in biomaterials and biomedical engineering applications
The book is well-organized and easy to read. The chapters are written in a clear and concise style, and they provide a comprehensive overview of the topics covered. The book is also well-illustrated with figures and tables that help to explain the concepts discussed in the text. With its comprehensive coverage, practical examples, and expert insights, this book serves as a valuable resource for researchers, students, and professionals in the fields of biomaterials and biomedical engineering.
Contents
1. Use of Biomaterials in the Field of Biomedical Engineering: Current Trends, Challenges, and Opportunities in Implementations ; 2. Applications of Biomaterials in Advanced Drug Delivery Systems ; 3. Biomaterials in Ophthalmology: Advancements, Applications, and Challenges ; 4. Use of AI and Machine Learning for the Analysis of Cellular Images in Breast Cancer ; 5. Genetic Diagnosis, Classification, and Risk Prediction in Cancer Using Next-Generation Sequencing in Oncology ; 6. AI and ML in the Treatment of Cardiovascular Diseases ; 7. Role of Big Data, AI, and Machine Learning in Decisions for Disease Diagnosis and Treatment ; 8. Artificial Intelligence in Drug Research—A New Wave of Innovation in Drug Discovery162 ; 9. Significance of Artificial Intelligence in the Recognition, Characterization, and Prediction of Hepatocellular Carcinoma ; 10. Artificial Intelligence Applied to Neuromotor Rehabilitation Engineering: Advances and Challenges; 11. Emerging Computational Methods Applied to BCI Systems for Restoring Motor Functions ; 12. Enhancing Telerehabilitation Using Wearable Sensors and AI-Based Machine Learning Methods
