Artificial Intelligence Methods And Tools For Systems Biology

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Artificial Intelligence Methods and Tools for Systems Biology

Author : W. Dubitzky
Publisher : Springer Science & Business Media
ISBN 13 : 140205811X
Total Pages : 231 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Artificial Intelligence Methods and Tools for Systems Biology by : W. Dubitzky

Download or read book Artificial Intelligence Methods and Tools for Systems Biology written by W. Dubitzky and published by Springer Science & Business Media. This book was released on 2007-09-29 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides simultaneously a design blueprint, user guide, research agenda, and communication platform for current and future developments in artificial intelligence (AI) approaches to systems biology. It places an emphasis on the molecular dimension of life phenomena and in one chapter on anatomical and functional modeling of the brain. As design blueprint, the book is intended for scientists and other professionals tasked with developing and using AI technologies in the context of life sciences research. As a user guide, this volume addresses the requirements of researchers to gain a basic understanding of key AI methodologies for life sciences research. Its emphasis is not on an intricate mathematical treatment of the presented AI methodologies. Instead, it aims at providing the users with a clear understanding and practical know-how of the methods. As a research agenda, the book is intended for computer and life science students, teachers, researchers, and managers who want to understand the state of the art of the presented methodologies and the areas in which gaps in our knowledge demand further research and development. Our aim was to maintain the readability and accessibility of a textbook throughout the chapters, rather than compiling a mere reference manual. The book is also intended as a communication platform seeking to bride the cultural and technological gap among key systems biology disciplines. To support this function, contributors have adopted a terminology and approach that appeal to audiences from different backgrounds.

Advanced AI Techniques and Applications in Bioinformatics

Author : Loveleen Gaur
Publisher : CRC Press
ISBN 13 : 100046301X
Total Pages : 220 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Advanced AI Techniques and Applications in Bioinformatics by : Loveleen Gaur

Download or read book Advanced AI Techniques and Applications in Bioinformatics written by Loveleen Gaur and published by CRC Press. This book was released on 2021-10-17 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics

Author : Yi Pan
Publisher : John Wiley & Sons
ISBN 13 : 1118345789
Total Pages : 534 pages
Book Rating : 4.1/5 (183 download)

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Book Synopsis Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics by : Yi Pan

Download or read book Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics written by Yi Pan and published by John Wiley & Sons. This book was released on 2013-11-12 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics An in-depth look at the latest research, methods, and applications in the field of protein bioinformatics This book presents the latest developments in protein bioinformatics, introducing for the first time cutting-edge research results alongside novel algorithmic and AI methods for the analysis of protein data. In one complete, self-contained volume, Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics addresses key challenges facing both computer scientists and biologists, arming readers with tools and techniques for analyzing and interpreting protein data and solving a variety of biological problems. Featuring a collection of authoritative articles by leaders in the field, this work focuses on the analysis of protein sequences, structures, and interaction networks using both traditional algorithms and AI methods. It also examines, in great detail, data preparation, simulation, experiments, evaluation methods, and applications. Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics: Highlights protein analysis applications such as protein-related drug activity comparison Incorporates salient case studies illustrating how to apply the methods outlined in the book Tackles the complex relationship between proteins from a systems biology point of view Relates the topic to other emerging technologies such as data mining and visualization Includes many tables and illustrations demonstrating concepts and performance figures Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics is an essential reference for bioinformatics specialists in research and industry, and for anyone wishing to better understand the rich field of protein bioinformatics.

Artificial Intelligence Technologies for Computational Biology

Author : Ranjeet Kumar Rout
Publisher : CRC Press
ISBN 13 : 100077869X
Total Pages : 339 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Artificial Intelligence Technologies for Computational Biology by : Ranjeet Kumar Rout

Download or read book Artificial Intelligence Technologies for Computational Biology written by Ranjeet Kumar Rout and published by CRC Press. This book was released on 2022-11-10 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text emphasizes the importance of artificial intelligence techniques in the field of biological computation. It also discusses fundamental principles that can be applied beyond bio-inspired computing. It comprehensively covers important topics including data integration, data mining, machine learning, genetic algorithms, evolutionary computation, evolved neural networks, nature-inspired algorithms, and protein structure alignment. The text covers the application of evolutionary computations for fractal visualization of sequence data, artificial intelligence, and automatic image interpretation in modern biological systems. The text is primarily written for graduate students and academic researchers in areas of electrical engineering, electronics engineering, computer engineering, and computational biology. This book: • Covers algorithms in the fields of artificial intelligence, and machine learning useful in biological data analysis. • Discusses comprehensively artificial intelligence and automatic image interpretation in modern biological systems. • Presents the application of evolutionary computations for fractal visualization of sequence data. • Explores the use of genetic algorithms for pair-wise and multiple sequence alignments. • Examines the roles of efficient computational techniques in biology.

Kernel Methods in Computational Biology

Author : Bernhard Schölkopf
Publisher : MIT Press
ISBN 13 : 9780262195096
Total Pages : 428 pages
Book Rating : 4.1/5 (95 download)

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Book Synopsis Kernel Methods in Computational Biology by : Bernhard Schölkopf

Download or read book Kernel Methods in Computational Biology written by Bernhard Schölkopf and published by MIT Press. This book was released on 2004 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: A detailed overview of current research in kernel methods and their application to computational biology.

Artificial Intelligence Bioinformatics: Development and Application of Tools for Omics and Inter-Omics Studies

Author : Angelo Facchiano
Publisher : Frontiers Media SA
ISBN 13 : 2889637522
Total Pages : 175 pages
Book Rating : 4.8/5 (896 download)

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Book Synopsis Artificial Intelligence Bioinformatics: Development and Application of Tools for Omics and Inter-Omics Studies by : Angelo Facchiano

Download or read book Artificial Intelligence Bioinformatics: Development and Application of Tools for Omics and Inter-Omics Studies written by Angelo Facchiano and published by Frontiers Media SA. This book was released on 2020-06-18 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Intelligent Bioinformatics

Author : Edward Keedwell
Publisher : John Wiley & Sons
ISBN 13 : 0470021764
Total Pages : 294 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Intelligent Bioinformatics by : Edward Keedwell

Download or read book Intelligent Bioinformatics written by Edward Keedwell and published by John Wiley & Sons. This book was released on 2005-12-13 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bioinformatics is contributing to some of the most important advances in medicine and biology. At the forefront of this exciting new subject are techniques known as artificial intelligence which are inspired by the way in which nature solves the problems it faces. This book provides a unique insight into the complex problems of bioinformatics and the innovative solutions which make up ‘intelligent bioinformatics’. Intelligent Bioinformatics requires only rudimentary knowledge of biology, bioinformatics or computer science and is aimed at interested readers regardless of discipline. Three introductory chapters on biology, bioinformatics and the complexities of search and optimisation equip the reader with the necessary knowledge to proceed through the remaining eight chapters, each of which is dedicated to an intelligent technique in bioinformatics. The book also contains many links to software and information available on the internet, in academic journals and beyond, making it an indispensable reference for the 'intelligent bioinformatician'. Intelligent Bioinformatics will appeal to all postgraduate students and researchers in bioinformatics and genomics as well as to computer scientists interested in these disciplines, and all natural scientists with large data sets to analyse.

Advances in Artificial Intelligence, Computation, and Data Science

Author : Tuan D. Pham
Publisher : Springer Nature
ISBN 13 : 303069951X
Total Pages : 373 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Advances in Artificial Intelligence, Computation, and Data Science by : Tuan D. Pham

Download or read book Advances in Artificial Intelligence, Computation, and Data Science written by Tuan D. Pham and published by Springer Nature. This book was released on 2021-07-12 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) has become pervasive in most areas of research and applications. While computation can significantly reduce mental efforts for complex problem solving, effective computer algorithms allow continuous improvement of AI tools to handle complexity—in both time and memory requirements—for machine learning in large datasets. Meanwhile, data science is an evolving scientific discipline that strives to overcome the hindrance of traditional skills that are too limited to enable scientific discovery when leveraging research outcomes. Solutions to many problems in medicine and life science, which cannot be answered by these conventional approaches, are urgently needed for society. This edited book attempts to report recent advances in the complementary domains of AI, computation, and data science with applications in medicine and life science. The benefits to the reader are manifold as researchers from similar or different fields can be aware of advanced developments and novel applications that can be useful for either immediate implementations or future scientific pursuit. Features: Considers recent advances in AI, computation, and data science for solving complex problems in medicine, physiology, biology, chemistry, and biochemistry Provides recent developments in three evolving key areas and their complementary combinations: AI, computation, and data science Reports on applications in medicine and physiology, including cancer, neuroscience, and digital pathology Examines applications in life science, including systems biology, biochemistry, and even food technology This unique book, representing research from a team of international contributors, has not only real utility in academia for those in the medical and life sciences communities, but also a much wider readership from industry, science, and other areas of technology and education.

Artificial Intelligence in Bioinformatics

Author : Mario Cannataro
Publisher : Elsevier
ISBN 13 : 0128229292
Total Pages : 270 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Artificial Intelligence in Bioinformatics by : Mario Cannataro

Download or read book Artificial Intelligence in Bioinformatics written by Mario Cannataro and published by Elsevier. This book was released on 2022-05-12 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in Bioinformatics: From Omics Analysis to Deep Learning and Network Mining reviews the main applications of the topic, from omics analysis to deep learning and network mining. The book includes a rigorous introduction on bioinformatics, also reviewing how methods are incorporated in tasks and processes. In addition, it presents methods and theory, including content for emergent fields such as Sentiment Analysis and Network Alignment. Other sections survey how Artificial Intelligence is exploited in bioinformatics applications, including sequence analysis, structure analysis, functional analysis, protein classification, omics analysis, biomarker discovery, integrative bioinformatics, protein interaction analysis, metabolic networks analysis, and much more. Bridges the gap between computer science and bioinformatics, combining an introduction to Artificial Intelligence methods with a systematic review of its applications in the life sciences Brings readers up-to-speed on current trends and methods in a dynamic and growing field Provides academic teachers with a complete resource, covering fundamental concepts as well as applications

Automated Reasoning for Systems Biology and Medicine

Author : Pietro Liò
Publisher : Springer
ISBN 13 : 9783030172992
Total Pages : 0 pages
Book Rating : 4.1/5 (729 download)

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Book Synopsis Automated Reasoning for Systems Biology and Medicine by : Pietro Liò

Download or read book Automated Reasoning for Systems Biology and Medicine written by Pietro Liò and published by Springer. This book was released on 2020-08-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents outstanding contributions in an exciting, new and multidisciplinary research area: the application of formal, automated reasoning techniques to analyse complex models in systems biology and systems medicine. Automated reasoning is a field of computer science devoted to the development of algorithms that yield trustworthy answers, providing a basis of sound logical reasoning. For example, in the semiconductor industry formal verification is instrumental to ensuring that chip designs are free of defects (or “bugs”). Over the past 15 years, systems biology and systems medicine have been introduced in an attempt to understand the enormous complexity of life from a computational point of view. This has generated a wealth of new knowledge in the form of computational models, whose staggering complexity makes manual analysis methods infeasible. Sound, trusted, and automated means of analysing the models are thus required in order to be able to trust their conclusions. Above all, this is crucial to engineering safe biomedical devices and to reducing our reliance on wet-lab experiments and clinical trials, which will in turn produce lower economic and societal costs. Some examples of the questions addressed here include: Can we automatically adjust medications for patients with multiple chronic conditions? Can we verify that an artificial pancreas system delivers insulin in a way that ensures Type 1 diabetic patients never suffer from hyperglycaemia or hypoglycaemia? And lastly, can we predict what kind of mutations a cancer cell is likely to undergo? This book brings together leading researchers from a number of highly interdisciplinary areas, including: · Parameter inference from time series · Model selection · Network structure identification · Machine learning · Systems medicine · Hypothesis generation from experimental data · Systems biology, systems medicine, and digital pathology · Verification of biomedical devices “This book presents a comprehensive spectrum of model-focused analysis techniques for biological systems ...an essential resource for tracking the developments of a fast moving field that promises to revolutionize biology and medicine by the automated analysis of models and data.”Prof Luca Cardelli FRS, University of Oxford

Systemic Approaches in Bioinformatics and Computational Systems Biology: Recent Advances

Author : Lecca, Paola
Publisher : IGI Global
ISBN 13 : 1613504365
Total Pages : 471 pages
Book Rating : 4.6/5 (135 download)

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Book Synopsis Systemic Approaches in Bioinformatics and Computational Systems Biology: Recent Advances by : Lecca, Paola

Download or read book Systemic Approaches in Bioinformatics and Computational Systems Biology: Recent Advances written by Lecca, Paola and published by IGI Global. This book was released on 2011-12-31 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: The convergence of biology and computer science was initially motivated by the need to organize and process a growing number of biological observations resulting from rapid advances in experimental techniques. Today, however, close collaboration between biologists, biochemists, medical researchers, and computer scientists has also generated remarkable benefits for the field of computer science. Systemic Approaches in Bioinformatics and Computational Systems Biology: Recent Advances presents new techniques that have resulted from the application of computer science methods to the organization and interpretation of biological data. The book covers three subject areas: bioinformatics, computational biology, and computational systems biology. It focuses on recent, systemic approaches in computer science and mathematics that have been used to model, simulate, and more generally, experiment with biological phenomena at any scale.

Elements of Computational Systems Biology

Author : Huma M. Lodhi
Publisher : John Wiley & Sons
ISBN 13 : 0470556749
Total Pages : 435 pages
Book Rating : 4.4/5 (75 download)

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Book Synopsis Elements of Computational Systems Biology by : Huma M. Lodhi

Download or read book Elements of Computational Systems Biology written by Huma M. Lodhi and published by John Wiley & Sons. This book was released on 2010-03-25 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: Groundbreaking, long-ranging research in this emergent field that enables solutions to complex biological problems Computational systems biology is an emerging discipline that is evolving quickly due to recent advances in biology such as genome sequencing, high-throughput technologies, and the recent development of sophisticated computational methodologies. Elements of Computational Systems Biology is a comprehensive reference covering the computational frameworks and techniques needed to help research scientists and professionals in computer science, biology, chemistry, pharmaceutical science, and physics solve complex biological problems. Written by leading experts in the field, this practical resource gives detailed descriptions of core subjects, including biological network modeling, analysis, and inference; presents a measured introduction to foundational topics like genomics; and describes state-of-the-art software tools for systems biology. Offers a coordinated integrated systems view of defining and applying computational and mathematical tools and methods to solving problems in systems biology Chapters provide a multidisciplinary approach and range from analysis, modeling, prediction, reasoning, inference, and exploration of biological systems to the implications of computational systems biology on drug design and medicine Helps reduce the gap between mathematics and biology by presenting chapters on mathematical models of biological systems Establishes solutions in computer science, biology, chemistry, and physics by presenting an in-depth description of computational methodologies for systems biology Elements of Computational Systems Biology is intended for academic/industry researchers and scientists in computer science, biology, mathematics, chemistry, physics, biotechnology, and pharmaceutical science. It is also accessible to undergraduate and graduate students in machine learning, data mining, bioinformatics, computational biology, and systems biology courses.

Bioinformatics in Agriculture

Author : Pradeep Sharma
Publisher : Academic Press
ISBN 13 : 0323885993
Total Pages : 707 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Bioinformatics in Agriculture by : Pradeep Sharma

Download or read book Bioinformatics in Agriculture written by Pradeep Sharma and published by Academic Press. This book was released on 2022-04-28 with total page 707 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bioinformatics in Agriculture: Next Generation Sequencing Era is a comprehensive volume presenting an integrated research and development approach to the practical application of genomics to improve agricultural crops. Exploring both the theoretical and applied aspects of computational biology, and focusing on the innovation processes, the book highlights the increased productivity of a translational approach. Presented in four sections and including insights from experts from around the world, the book includes: Section I: Bioinformatics and Next Generation Sequencing Technologies; Section II: Omics Application; Section III: Data mining and Markers Discovery; Section IV: Artificial Intelligence and Agribots. Bioinformatics in Agriculture: Next Generation Sequencing Era explores deep sequencing, NGS, genomic, transcriptome analysis and multiplexing, highlighting practices forreducing time, cost, and effort for the analysis of gene as they are pooled, and sequenced. Readers will gain real-world information on computational biology, genomics, applied data mining, machine learning, and artificial intelligence. This book serves as a complete package for advanced undergraduate students, researchers, and scientists with an interest in bioinformatics. Discusses integral aspects of molecular biology and pivotal tool sfor molecular breeding Enables breeders to design cost-effective and efficient breeding strategies Provides examples ofinnovative genome-wide marker (SSR, SNP) discovery Explores both the theoretical and practical aspects of computational biology with focus on innovation processes Covers recent trends of bioinformatics and different tools and techniques

Computational Intelligence Methods for Bioinformatics and Biostatistics

Author : Francesco Masulli
Publisher : Springer Science & Business Media
ISBN 13 : 364202503X
Total Pages : 304 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Computational Intelligence Methods for Bioinformatics and Biostatistics by : Francesco Masulli

Download or read book Computational Intelligence Methods for Bioinformatics and Biostatistics written by Francesco Masulli and published by Springer Science & Business Media. This book was released on 2009-07-14 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the Fifth International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2008, held in Vietri sul Mare, Italy, in October 2008. The 23 revised full papers presented together with 3 invited lectures were carefully reviewed and selected from 69 submissions. The main goal of the CIBB meetings is to provide a forum open to researchers from different disciplines to present and discuss problems concerning computational techniques in bioinformatics, systems biology and medical informatics with a particular focus on neural networks, machine learning, fuzzy logic, and evolutionary computation methods.

Computational Systems Biology Approaches in Cancer Research

Author : Inna Kuperstein
Publisher : CRC Press
ISBN 13 : 1000682927
Total Pages : 167 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Computational Systems Biology Approaches in Cancer Research by : Inna Kuperstein

Download or read book Computational Systems Biology Approaches in Cancer Research written by Inna Kuperstein and published by CRC Press. This book was released on 2019-09-09 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for Computational Systems BiologyApproaches in Cancer Research: "Complex concepts are written clearly and with informative illustrations and useful links. The book is enjoyable to read yet provides sufficient depth to serve as a valuable resource for both students and faculty." — Trey Ideker, Professor of Medicine, UC Xan Diego, School of Medicine "This volume is attractive because it addresses important and timely topics for research and teaching on computational methods in cancer research. It covers a broad variety of approaches, exposes recent innovations in computational methods, and provides acces to source code and to dedicated interactive web sites." — Yves Moreau, Department of Electrical Engineering, SysBioSys Centre for Computational Systems Biology, University of Leuven With the availability of massive amounts of data in biology, the need for advanced computational tools and techniques is becoming increasingly important and key in understanding biology in disease and healthy states. This book focuses on computational systems biology approaches, with a particular lens on tackling one of the most challenging diseases - cancer. The book provides an important reference and teaching material in the field of computational biology in general and cancer systems biology in particular. The book presents a list of modern approaches in systems biology with application to cancer research and beyond. It is structured in a didactic form such that the idea of each approach can easily be grasped from the short text and self-explanatory figures. The coverage of topics is diverse: from pathway resources, through methods for data analysis and single data analysis to drug response predictors, classifiers and image analysis using machine learning and artificial intelligence approaches. Features Up to date using a wide range of approaches Applicationexample in each chapter Online resources with useful applications’

Machine Learning and Systems Biology in Genomics and Health

Author : Shailza Singh
Publisher :
ISBN 13 : 9789811659942
Total Pages : 0 pages
Book Rating : 4.6/5 (599 download)

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Book Synopsis Machine Learning and Systems Biology in Genomics and Health by : Shailza Singh

Download or read book Machine Learning and Systems Biology in Genomics and Health written by Shailza Singh and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the application of machine learning in genomics. Machine Learning offers ample opportunities for Big Data to be assimilated and comprehended effectively using different frameworks. Stratification, diagnosis, classification and survival predictions encompass the different health care regimes representing unique challenges for data pre-processing, model training, refinement of the systems with clinical implications. The book discusses different models for in-depth analysis of different conditions. Machine Learning techniques have revolutionized genomic analysis. Different chapters of the book describe the role of Artificial Intelligence in clinical and genomic diagnostics. It discusses how systems biology is exploited in identifying the genetic markers for drug discovery and disease identification. Myriad number of diseases whether be infectious, metabolic, cancer can be dealt in effectively which combines the different omics data for precision medicine. Major breakthroughs in the field would help reflect more new innovations which are at their pinnacle stage. This book is useful for researchers in the fields of genomics, genetics, computational biology and bioinformatics.

Artificial Intelligence Theory, Models, and Applications

Author : P Kaliraj
Publisher : CRC Press
ISBN 13 : 1000460606
Total Pages : 506 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Artificial Intelligence Theory, Models, and Applications by : P Kaliraj

Download or read book Artificial Intelligence Theory, Models, and Applications written by P Kaliraj and published by CRC Press. This book was released on 2021-10-21 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the fundamentals and technologies of Artificial Intelligence (AI) and describes their tools, challenges, and issues. It also explains relevant theory as well as industrial applications in various domains, such as healthcare, economics, education, product development, agriculture, human resource management, environmental management, and marketing. The book is a boon to students, software developers, teachers, members of boards of studies, and researchers who need a reference resource on artificial intelligence and its applications and is primarily intended for use in courses offered by higher education institutions that strive to equip their graduates with Industry 4.0 skills. FEATURES: Gender disparity in the enterprises involved in the development of AI-based software development as well as solutions to eradicate such gender bias in the AI world A general framework for AI in environmental management, smart farming, e-waste management, and smart energy optimization The potential and application of AI in medical imaging as well as the challenges of AI in precision medicine AI’s role in the diagnosis of various diseases, such as cancer and diabetes The role of machine learning models in product development and statistically monitoring product quality Machine learning to make robust and effective economic policy decisions Machine learning and data mining approaches to provide better video indexing mechanisms resulting in better searchable results ABOUT THE EDITORS: Prof. Dr. P. Kaliraj is Vice Chancellor at Bharathiar University, Coimbatore, India. Prof. Dr. T. Devi is Professor and Head of the Department of Computer Applications, Bharathiar University, Coimbatore, India.