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English
CRC Press
07 October 2024
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.
Edited by:   , , ,
Imprint:   CRC Press
Country of Publication:   United Kingdom
Dimensions:   Height: 234mm,  Width: 156mm, 
Weight:   412g
ISBN:   9780367705770
ISBN 10:   036770577X
Series:   Intelligent Signal Processing and Data Analysis
Pages:   210
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active
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

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