About the Book
Translational bioinformatics (TBI) involves development of storage, analytics, and advanced computational methods to harvest knowledge from voluminous biomedical and genomic data into 4P healthcare (proactive, predictive, preventive, and participatory). Translational Bioinformatics Applications in Healthcare offers a detailed overview on concepts of TBI, biological and clinical databases, clinical informatics, and pertinent real-case applications. It further illustrates recent advancements, tools, techniques, and applications of TBI in healthcare, including Internet of Things (IoT) potential, toxin databases, medical image analysis and telemedicine applications, analytics of COVID-19 CT images, viroinformatics and viral diseases, and COVID-19–related research.
Covers recent technologies such as Blockchain, IoT, and Big data analytics in bioinformatics
Presents the role of translational bioinformatic methods in the field of viroinformatics, as well as in drug development and repurposing
Includes translational healthcare and NGS for clinical applications
Illustrates translational medicine systems and their applications in better healthcare
Explores medical image analysis with focus on CT images and novel coronavirus disease detection
Aimed at researchers and graduate students in computational biology, data mining and knowledge discovery, algorithms and complexity, and interdisciplinary fields of studies, including bioinformatics, health-informatics, biostatistics, biomedical engineering, and viroinformatics.
Khalid Raza is an Assistant Professor, the Department of Computer Science, Jamia Millia Islamia (Central University), New Delhi. His research interests include translational bioinformatics, computational intelligence methods and its applications in bioinformatics, viroinformatics, and health informatics.
Nilanjan Dey is an Associate Professor, the Department of Computer Science and Engineering, JIS University, Kolkata, India. His research interests include medical imaging, machine learning, computer-aided diagnosis, and data mining.
Table of Contents:
Part I T ranslational Healthcare, Next-Generation
Sequence Analysis, and Drug Repurposing
Chapter 1 Translational Healthcare System through Bioinformatics....................3
Mrinal Kumar Sarma, Rina Ningthoujam, Manasa Kumar
Panda, Punuri Jayasekhar Babu, Ankit Srivastava,
Maohinikanti Das and Yengkhom Disco Singh
Chapter 2 Next-Generation Sequence Analysis for Clinical Applications..........23
Agnik Haldar and Ajay Kumar Singh
Chapter 3 Clinical Applications of Next-Generation Sequence Analysis
in Acute Myelogenous Leukemia........................................................ 41
Fatima Nazish Khan, Shaban Ahmad and Khalid Raza
Chapter 4 Translational Bioinformatics Methods for Drug Repurposing........... 67
Jyoti Rani, Urmi Bajpai and Srinivasan Ramachandran
Part II Internet of Things, Viroinformatics,
and Toxin Databases for Healthcare
Applications
Chapter 5 The Fundamentals and Potential of IoT for Bioinformatics
and Healthcare.....................................................................................87
Reinaldo Padilha França, Ana Carolina Borges Monteiro,
Rangel Arthur, and Yuzo Iano
Chapter 6 Viroinformatics and Viral Diseases:
A New Era of Interdisciplinary Science for a Thorough
Apprehension of Virology...................................................................109
Kayenat Sheikh and Khalid Raza
Chapter 7 Toxin Databases and Healthcare Applications.................................. 133
Sushmita Baishnab, Subrata Sinha, Arabinda Ghosh,
Ashwani Sharma and Surabhi Johari
Part III Medical Image Processing
and Other Healthcare Applications
Chapter 8 Lossless Medical Image Compression Using Hybrid
Block-Based Algorithm for Telemedicine Application..................... 147
Lenin Fred A. and L. R. Jonisha Miriam
Chapter 9 Improved FCM Based on Gaussian Kernel and Crow Search
Optimization for ROI Extraction on Corona Virus Disease
(COVID-19) CT Images.................................................................... 173
S. N. Kumar, Lenin Fred A., L. R. Jonisha Miriam, Ajay Kumar
H. Parasuraman Padmanabhan, and Balázs Gulyás
Chapter 10 Estimating the Effect of Social Distancing in the Progression
Dynamics of COVID-19.................................................................... 193
Narender Kumar, Shweta Sankhwar and Ravins Dohare
