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Advanced AI Techniques and Applications in Bioinformatics
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Main description:

The advanced AI techniques are essential for resolving various problematic aspects emerging in the field of bioinformatics. This book covers the recent approaches in artificial intelligence and machine learning methods and their applications in Genome and Gene editing, cancer drug discovery classification, and the protein folding algorithms among others. Deep learning, which is widely used in image processing, is also applicable in bioinformatics as one of the most popular artificial intelligence approaches. The wide range of applications discussed in this book are an indispensable resource for computer scientists, engineers, biologists, mathematicians, physicians, and medical informaticists.

Features:


Focusses on the cross-disciplinary relation between computer science and biology and the role of machine learning methods in resolving complex problems in bioinformatics


Provides a comprehensive and balanced blend of topics and applications using various advanced algorithms


Presents cutting-edge research methodologies in the area of AI methods when applied to bioinformatics and innovative solutions


Discusses the AI/ML techniques, their use, and their potential for use in common and future bioinformatics applications


Includes recent achievements in AI and bioinformatics contributed by a global team of researchers


Contents:

Contents

Contributors..............................................................................................................vii

Editors........................................................................................................................xi

Chapter 1 An Artificial Intelligence-based Expert System for the Initial

Screening of COVID-19........................................................................1

Anurag Sharma, Hitesh Marwaha, Vikrant Sharma and Love Kumar

Chapter 2 An Insight into the Potential Role of Artificial Intelligence in

Bioinformatics..................................................................................... 17

Divya Bhatia and Deepak Malik

Chapter 3 AI-Based Natural Language Processing for the Generation of

Meaningful Information Electronic Health Record (EHR) Data....... 41

Kuldeep Singh Kaswan, Loveleen Gaur, Jagjit Singh

Dhatterwal, and Rajesh Kumar

Chapter 4 AI and Genomes for Decisions Regarding the Expression of

Genes...............................................................................................87

Abeedha Tu-Allah Khan and Haleema Qamar

Chapter 5 Implementation of Donor Recognition and Selection for

Bioinformatics Blood Bank Application........................................... 105

Soobia Saeed, N.Z. Jhanjhi, and Memood Naqvi

Chapter 6 Deep Learning Techniques for miRNA Sequence Analysis............. 139

Saswati Mahapatra, Jayashankar Das, David Correa

Martins-Jr, and Tripti Swarnkar

Chapter 7 Role of Machine Intelligence in Cancer Drug Discovery and

Development...................................................................................... 153

Kaushik Kumar Bharadwaj, Bijuli Rabha, Gaber El-Saber

Batiha, Debabrat Baishya, and Arabinda Ghosh

Chapter 8 Genome and Gene Editing by Artificial Intelligence Programs....... 165

Imran Zafar, Aamna Rafique, Javaria Fazal, Misbah Manzoor,

Qurat Ul Ain, and Rehab A. Rayan

Chapter 9 Artificial Neural Network (ANN) Techniques in Solving the

Protein Folding Problem................................................................... 189

Raghunath Satpathy

Chapter 10 Application of Machine Learning and Molecular Modeling in

Drug Discovery and Cheminformatics............................................. 201

Manish Kumar Tripathi, Sushant Kumar Shrivastava, S.

Karthikeyan, Dhiraj Sinha, and Abhigyan Nath

Chapter 11 Role of Advanced Artificial Intelligence Techniques in

Bioinformatics................................................................................... 215

Harshit Bhardwaj, Pradeep Tomar, Aditi Sakalle,

and Uttam Sharma

Chapter 12 A Bioinformatics Perspective on Artificial Intelligence in

Healthcare and Diagnosis: Applications, Implications, and

Limitations........................................................................................227

Anuradha Bhardwaj, Arun Solanki, and Vikrant Nain

Chapter 13 Accelerating Translational Medical Research by Leveraging

Artificial Intelligence: Digital Healthcare........................................ 243

G. M. Roopa, K. Shryavani, N. Pradeep, and Vicente Garcia Diaz

Index.......................................................................................................................265


PRODUCT DETAILS

ISBN-13: 9780367641696
Publisher: Taylor & Francis (CRC Press)
Publication date: October, 2021
Pages: 296
Weight: 594g
Availability: Available
Subcategories: Biomedical Engineering, General Practice

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