Computational Approaches in Bioengineering

Computational Approaches in Biomedical Engineering is a two-volume set that explores many significant topics of biomedical engineering and bioinformatics in an easily understandable format. It explores the recent developments and applications in bioinformatics, biomechanics, AI, signal processing, wearable sensors, biomaterials, cell biology, synthetic biology, biostatistics, prosthetics, big data, and algorithms. This book is divided into two volumes, Volume 1: Computational Approaches in Biotechnology and Bioinformatics; Volume 2: Computational Approaches in Biomaterials and Biomedical Engineering Applications. From applications of biomaterials in advanced drug delivery systems to the role of big data, AI, and machine learning in the decision for disease diagnosis and treatment, this set will help readers get an insight into understanding how these technologies are being applied across areas of biomedical engineering, bioinformatics, and healthcare. The chapters also include case studies on the role of medical robots in surgery, and the determination of protein structure using genetic algorithms. The contributors are all leading experts across multiple disciplines and provide chapters that truly represent a complete view of these state-of-the-art technologies. This set is ideally designed for biomedical professionals, biomedical engineers, healthcare professionals, data engineers, clinicians, physicians, medical students, hospital directors, clinical researchers, and those who work in the fields of artificial intelligence, bioinformatics, and computational biology.

Table of Contents:
Computational Approaches in Biomaterials and Biomedical Engineering Applications 1. Use of Biomaterials in the Field of Biomedical Engineering: Current Trends, Challenges, and Opportunities in Implementations Manisha Rajendra Mirjankar, Madhu Prakash Ganeshkar, Anjana Thatesh Gaddigal, et al. 2. Applications of Biomaterials in the Advanced Drug Delivery Systems Nabajyoti Baildya, Subhankar Choudhury, Poulami Jana, et al. 3. Biomaterials in Ophthalmology: Advancements, Applications, and Challenges Harshit Sajal Yuvaraj Sivamani , Ramyakrishna A Rangaswamy, Apoorva M Venkatesh, et al. 4. Use of AI and Machine Learning for Analysis of Cellular Images in Breast Cancer Reena Thakur, Pradnya S. Borkar, Parul Bhanarkar, et al. 5. Genetic Diagnosis, Classification and Risk Prediction in Cancer Using Next-Generation Sequencing in Oncology Kazeem A. Dauda, Kabir O. Olorede, Alabi W. Banjoko, et al. 6. Artificial Intelligence and Machine Learning in the Treatment of Cardiovascular Diseases Reena Thakur, Pradnya S. Borkar, and Madhavi Wairagade 7. Role of Big Data, AI and Machine Learning in Decision for Diseases Diagnosis and Treatment J.Sujipriya, R.Thirumalaisamy, S.Aruna, et al. 8. Artificial Intelligence in Drug Research- A New Wave of Innovation in Drug Discovery Puja Hjost, Muhasina KM, Akey Krishna Swaropp, et al. 9. Significance of Artificial Intelligence in the Recognition, Characterisation, and Prediction of Hepatocellular Carcinoma Smriti Parashar and Rupesh K. Gautam 10. Artificial Intelligence Applied to Neuromotor Rehabilitation Engineering: Advances and Challenges Cristian David Guerrero-Mendez, Cristian Felipe Blanco-Díaz, Sebastián Jaramillo-Isaza, et al. 11. Emerging Computational Methods Applied to BCI Systems for Restoring Motor Functions Andrés F. Ruiz-Olaya, Javier M. Antelis, Alexander Cerquera, et al. 12. Enhancing Telerehabilitation Using Wearable Sensors and AI-based Machine Learning Methods Sebastián Jaramillo-Isaza, Alberto López Delis, Edith Pulido Herrera, et al. Computational Approaches in Biotechnology and Bioinformatics 1. Computational Approaches for Discovery of New Drugs for Inflammatory and Infectious Diseases Vikram Dalal and Sagarika Biswas 2. A Bioinformatics Approach Towards Plant-Based Anticancer Drug Discovery Smitha S. Bhat, Sindhu R, and Shashanka K. Prasad 3. Recent Advances in Anticancer Activity and Bioinformatics Approach from Potential Plants Odangowei Inetiminebi Ogidi 4. Extraction of Phenolic Compounds from some Ayurvedic Botanicals (Nigella sativa, Andrographis paniculata and Phyllanthus amarus) and Evaluation of their Antibacterial and Antiviral Properties using Bioinformatics Approaches Yusuf Oloruntoyin Ayipo, Umar Muhammad Badeggi, Abdulfatai Temitope Ajiboye, et al. 5. Phenolic Compounds: A Systematic Review of Extraction Methods and A Bioinformatics Approach for their Antibacterial and Antiviral Properties Chinmayi Joshi, Ritul Patel, and Viraj Limbhachiya 6. Role of Tissue Engineering in The Treatment of Degenerative Diseases Hitesh Malhotra, Sweta Kamboj, Amrit Sarwara, et al. 7. An Algorithmic Soft Computing Technique for Identifying Lipase-producing Yeast Using its Gene Expression Data Sundaramahalingam M.A, Relli Teja, and Sivashanmugam 8. Plant Phenolic Compound Isolation and its Bioinformatics Approaches of Molecular Mechanisms in Antimicrobial Activities and Resistance Odangowei Inetiminebi Ogidi and Ngozi Georgewill Emaikwu 9. Computational Evaluation of Peanut Skin Bioactive Compounds for Cancer Treatment Somya Hari and Meenambiga Setti Sudarshan 10. Bioinformatics Tools for the Discovery of Potential Anti Diabetic Drugs from Lichens Madhushree M.V. Rao, Likith M, Gayathri D S, Ravikumar H, and Hariprasad T P N 11. In silico Analysis of Lapachol and Nickel Lapachol Against Tumor Proteins – Insights into the Molecular Interactions and Drug Likeliness Likith M, Madhushree M.V. Rao, Gayathri D S et al. 12. Transcriptome Analysis Identifies Genes Involved in Vitamin B Biosynthesis in Solanum virginianum Whole Fruit Megha Gowri Thippeswamy, Sumachirayu Chitradurga Kubera, Rajeshwara Achur, et al. 13. Identification of Compounds Present in the Eethanolic Extract of Cecropia pachyatachya Trécul Leaves by CG-MS and in silico Studies with the Enzymes 5-LOX and α-1-antitrypsin Penina S. Mourão, Rafael de O. Gomes, Clara A. C. B. Costa, et al. Yogita Ranade and Pranav Pathak 15. Screenings of Inhibitory Ability of Vietnamese Medicinal Plants-based Substances and Protein Related Structures: Computation-Pharmacological Experiment Correlation Nguyen Thi Ai Nhung, Nguyen Thi Xuan Dieu, and Nguyen Thanh Triet