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.
This two-volume set explores many significant topics of biomedical engineering and bioinformatics including recent developments and applications in bioinformatics, biomechanics, AI, signal processing, wearable sensors, biomaterials, cell biology, synthetic biology, biostatistics, prosthetics, big data, and algorithms.
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 -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
Dr. Pranav D. Pathak is an Associate professor in MIT School of Bioengineering Sciences & Research, Pune. He received his undergraduate, postgraduate degrees from Amravati University and doctoral degrees from Visvesvaraya National Institute of Technology, Nagpur, India. His research interests include use of Indian traditional knowledge in medicines, biorefinery, adsorptive separation, solid waste utilization, and wastewater treatment.
Dr Roshani Raut is an experienced academic and researcher in the field of Computer Science and Engineering at Pimpri Chinchwad College of Engineering, Savitribai Phule Pune University, Pune, India. She completed her PhD in Computer Science and Engineering from SGBAU, Maharashtra, india, ME from VIT, pune, India and Bachelors in Computer Science and Engineering from Nagpur Univeristy. She has more than 18 years of experience and is currently working as Associate Professor in the Department of Information Technology and also handling the charge of Associate Dean International Relations, in Pimpri Chinchwad College of Engineering, Pune, India.
Sebastián Jaramillo-Isaza is currently working as a Principal Professor in Biomedical Engineering, at the School of Medicine and Health Sciences at the Universidad del Rosario, Colombia. He received a PhD in Biomechanics, Bioengineering, and Biomaterials from Sorbonne Universités - Université de Technologie de Compiègne (UTC), France. He completed his masters from École Nationale dIngénieurs de Metz (ENIM), Metz, France, and received his Bachelors in Bioengineering from the University of Antioquia, Medellin, Colombia. His current research interests are centred around the fields of biomechanics, assistive technologies, neuroengineering, and rehabilitation engineering.
Dr. Pradnya Borkar, AssociateProfessor, Department of Computer Science and Engineering and R&D Cell Incharge, Jhulelal Institute of Technology, Nagpur did her B.E. in Computer Technology in year 2002, M.Tech in Computer Science and Engineering in 2008 and PHD in Computer Science and Engineering in 2018 from RashtrasantTukdoji Maharaj Nagpur University (formerly Nagpur University).She has worked with many reputed organizations and has an overall teaching experience of around 19 years. She has filed two patents. She has published books as "Data Warehousing and Mining" and "Object Oriented Modelling". Her area of interests are high performance computing, bioinformatics, parallel computing, database management systems, compilers and theory of computation. She is a member of ISTE, CSI, and SDIWC.
Dr. Rutvij H. Jhaveri is an experienced researcher working in the Department of Computer Science & Engineering, Pandit Deendayal Energy University, Gandhinagar, India since Dec. 2019. He conducted his Postdoctoral Research at Delta-NTU Corporate Lab for Cyber-Physical Systems, Nanyang Technological University, Singapore. Before joining PDEU, he worked for more than seventeen years at S.V.M. Institute of Technology affiliated to Gujarat Technological University. He completed his PhD in Computer Engineering from CHARUSAT University, India, Masters degree from Saradar Vallabhbhai National Institute of Technology (SVNIT), Surat and Bachelor's degree from Birla VishvakarmaMahavidyalaya, V. V. Nagar. Apart from numerous academic assignments, he shouldered the responsibility as Head of the Department (IT) for 5 years. In 2017, he was awarded with prestigious Pedagogical Innovation Award by Gujarat Technological University.
