Raza / Dey | Translational Bioinformatics Applications in Healthcare | Buch | 978-0-367-70577-0 | sack.de

Buch, Englisch, 224 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 322 g

Reihe: Intelligent Signal Processing and Data Analysis

Raza / Dey

Translational Bioinformatics Applications in Healthcare


1. Auflage 2024
ISBN: 978-0-367-70577-0
Verlag: Taylor & Francis Ltd (Sales)

Buch, Englisch, 224 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 322 g

Reihe: Intelligent Signal Processing and Data Analysis

ISBN: 978-0-367-70577-0
Verlag: Taylor & Francis Ltd (Sales)


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.

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Weitere Infos & Material


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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