Advanced Ai Techniques And Applications In Bioinformatics

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Advanced AI Techniques and Applications in Bioinformatics

Loveleen Gaur,Arun Solanki,Samuel Fosso Wamba,Noor Zaman Jhanjhi
Advanced AI Techniques and Applications in Bioinformatics Book PDF

Author : Loveleen Gaur,Arun Solanki,Samuel Fosso Wamba,Noor Zaman Jhanjhi
Publisher : CRC Press
Page : 220 pages
File Size : 55,7 Mb
Release : 2021-10-17
Category : Technology & Engineering
ISBN : 9781000463019

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Advanced AI Techniques and Applications in Bioinformatics by Loveleen Gaur,Arun Solanki,Samuel Fosso Wamba,Noor Zaman Jhanjhi Pdf

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

Advanced AI Techniques and Applications in Bioinformatics

Anonim
Advanced AI Techniques and Applications in Bioinformatics Book PDF

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 49,6 Mb
Release : 2021-10
Category : Electronic
ISBN : 0367647672

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Advanced AI Techniques and Applications in Bioinformatics by Anonim Pdf

"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"--

Advanced AI Techniques and Applications in Bioinformatics

Loveleen Gaur,Arun Solanki,Samuel Fosso Wamba,Noor Zaman Jhanjhi
Advanced AI Techniques and Applications in Bioinformatics Book PDF

Author : Loveleen Gaur,Arun Solanki,Samuel Fosso Wamba,Noor Zaman Jhanjhi
Publisher : CRC Press
Page : 282 pages
File Size : 50,6 Mb
Release : 2021-10-18
Category : Computers
ISBN : 9781000462982

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Advanced AI Techniques and Applications in Bioinformatics by Loveleen Gaur,Arun Solanki,Samuel Fosso Wamba,Noor Zaman Jhanjhi Pdf

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

Artificial Intelligence in Bioinformatics and Chemoinformatics

Yashwant Pathak,Surovi Saikia,Sarvadaman Pathak,Jayvadankumar Patel,Bhupendra Gopalbhai Prajapati
Artificial Intelligence in Bioinformatics and Chemoinformatics Book PDF

Author : Yashwant Pathak,Surovi Saikia,Sarvadaman Pathak,Jayvadankumar Patel,Bhupendra Gopalbhai Prajapati
Publisher : CRC Press
Page : 275 pages
File Size : 42,9 Mb
Release : 2023-10-11
Category : Science
ISBN : 9781000952759

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Artificial Intelligence in Bioinformatics and Chemoinformatics by Yashwant Pathak,Surovi Saikia,Sarvadaman Pathak,Jayvadankumar Patel,Bhupendra Gopalbhai Prajapati Pdf

The authors aim to shed light on the practicality of using machine learning in finding complex chemoinformatics and bioinformatics applications as well as identifiying AI in biological and chemical data points. The chapters are designed in such a way that they highlight the important role of AI in chemistry and bioinformatics particularly for the classification of diseases, selection of features and compounds, dimensionality reduction and more. In addition, they assist in the organization and optimal use of data points generated from experiments performed using AI techniques. This volume discusses the development of automated tools and techniques to aid in research plans. Features Covers AI applications in bioinformatics and chemoinformatics Demystifies the involvement of AI in generating biological and chemical data Provides an Introduction to basic and advanced chemoinformatics computational tools Presents a chemical biology based toolset for artificial intelligence usage in drug design Discusses computational methods in cancer, genome mapping, and stem cell research

Intelligent Bioinformatics

Edward Keedwell,Ajit Narayanan
Intelligent Bioinformatics Book PDF

Author : Edward Keedwell,Ajit Narayanan
Publisher : John Wiley & Sons
Page : 294 pages
File Size : 41,9 Mb
Release : 2005-12-13
Category : Medical
ISBN : 9780470021767

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Intelligent Bioinformatics by Edward Keedwell,Ajit Narayanan Pdf

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.

Applications of Machine Learning and Deep Learning on Biological Data

Faheem Masoodi,Mohammad Quasim,Syed Bukhari,Sarvottam Dixit,Shadab Alam
Applications of Machine Learning and Deep Learning on Biological Data Book PDF

Author : Faheem Masoodi,Mohammad Quasim,Syed Bukhari,Sarvottam Dixit,Shadab Alam
Publisher : CRC Press
Page : 211 pages
File Size : 42,5 Mb
Release : 2023-03-13
Category : Computers
ISBN : 9781000833768

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Applications of Machine Learning and Deep Learning on Biological Data by Faheem Masoodi,Mohammad Quasim,Syed Bukhari,Sarvottam Dixit,Shadab Alam Pdf

Unique selling point: Advanced AI solutions for problems in genetics, virology, and related areas of life science Core audience: Researchers in bioinformatics Place in the market: High-level reference book on advanced applied technology

Application Of Omics, Ai And Blockchain In Bioinformatics Research

Jeffrey J P Tsai,Ka-lok Ng
Application Of Omics Ai And Blockchain In Bioinformatics Research Book PDF

Author : Jeffrey J P Tsai,Ka-lok Ng
Publisher : World Scientific
Page : 207 pages
File Size : 46,7 Mb
Release : 2019-10-14
Category : Computers
ISBN : 9789811203596

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Application Of Omics, Ai And Blockchain In Bioinformatics Research by Jeffrey J P Tsai,Ka-lok Ng Pdf

With the increasing availability of omics data and mounting evidence of the usefulness of computational approaches to tackle multi-level data problems in bioinformatics and biomedical research in this post-genomics era, computational biology has been playing an increasingly important role in paving the way as basis for patient-centric healthcare.Two such areas are: (i) implementing AI algorithms supported by biomedical data would deliver significant benefits/improvements towards the goals of precision medicine (ii) blockchain technology will enable medical doctors to securely and privately build personal healthcare records, and identify the right therapeutic treatments and predict the progression of the diseases.A follow-up in the publication of our book Computation Methods with Applications in Bioinformatics Analysis (2017), topics in this volume include: clinical bioinformatics, omics-based data analysis, Artificial Intelligence (AI), blockchain, big data analytics, drug discovery, RNA-seq analysis, tensor decomposition and Boolean network.

Approaches and Applications of Deep Learning in Virtual Medical Care

Zaman, Noor,Gaur, Loveleen,Humayun, Mamoona
Approaches and Applications of Deep Learning in Virtual Medical Care Book PDF

Author : Zaman, Noor,Gaur, Loveleen,Humayun, Mamoona
Publisher : IGI Global
Page : 293 pages
File Size : 43,5 Mb
Release : 2022-02-25
Category : Computers
ISBN : 9781799889304

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Approaches and Applications of Deep Learning in Virtual Medical Care by Zaman, Noor,Gaur, Loveleen,Humayun, Mamoona Pdf

The recent advancements in the machine learning paradigm have various applications, specifically in the field of medical data analysis. Research has proven the high accuracy of deep learning algorithms, and they have become a standard choice for analyzing medical data, especially medical images, video, and electronic health records. Deep learning methods applied to electronic health records are contributing to understanding the evolution of chronic diseases and predicting the risk of developing those diseases. Approaches and Applications of Deep Learning in Virtual Medical Care considers the applications of deep learning in virtual medical care and delves into complex deep learning algorithms, calibrates models, and improves the predictions of the trained model on medical imaging. Covering topics such as big data and medical sensors, this critical reference source is ideal for researchers, academicians, practitioners, industry professionals, hospital workers, scholars, instructors, and students.

Advances in Artificial Intelligence, Computation, and Data Science

Tuan D. Pham,Hong Yan,Muhammad W. Ashraf,Folke Sjöberg
Advances in Artificial Intelligence Computation and Data Science Book PDF

Author : Tuan D. Pham,Hong Yan,Muhammad W. Ashraf,Folke Sjöberg
Publisher : Springer Nature
Page : 373 pages
File Size : 48,8 Mb
Release : 2021-07-12
Category : Science
ISBN : 9783030699512

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Advances in Artificial Intelligence, Computation, and Data Science by Tuan D. Pham,Hong Yan,Muhammad W. Ashraf,Folke Sjöberg Pdf

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 and Machine Learning in Public Healthcare

KC Santosh,Loveleen Gaur
Artificial Intelligence and Machine Learning in Public Healthcare Book PDF

Author : KC Santosh,Loveleen Gaur
Publisher : Springer Nature
Page : 93 pages
File Size : 51,8 Mb
Release : 2022-01-01
Category : Technology & Engineering
ISBN : 9789811667688

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Artificial Intelligence and Machine Learning in Public Healthcare by KC Santosh,Loveleen Gaur Pdf

This book discusses and evaluates AI and machine learning (ML) algorithms in dealing with challenges that are primarily related to public health. It also helps find ways in which we can measure possible consequences and societal impacts by taking the following factors into account: open public health issues and common AI solutions (with multiple case studies, such as TB and SARS: COVID-19), AI in sustainable health care, AI in precision medicine and data privacy issues. Public health requires special attention as it drives economy and education system. COVID-19 is an example—a truly infectious disease outbreak. The vision of WHO is to create public health services that can deal with abovementioned crucial challenges by focusing on the following elements: health protection, disease prevention and health promotion. For these issues, in the big data analytics era, AI and ML tools/techniques have potential to improve public health (e.g., existing healthcare solutions and wellness services). In other words, they have proved to be valuable tools not only to analyze/diagnose pathology but also to accelerate decision-making procedure especially when we consider resource-constrained regions.

Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics

Yi Pan,Jianxin Wang,Min Li
Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics Book PDF

Author : Yi Pan,Jianxin Wang,Min Li
Publisher : John Wiley & Sons
Page : 534 pages
File Size : 46,8 Mb
Release : 2013-11-12
Category : Medical
ISBN : 9781118345788

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Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics by Yi Pan,Jianxin Wang,Min Li Pdf

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.

Deep Learning in Personalized Healthcare and Decision Support

Harish Garg,Jyotir Moy Chatterjee
Deep Learning in Personalized Healthcare and Decision Support Book PDF

Author : Harish Garg,Jyotir Moy Chatterjee
Publisher : Elsevier
Page : 402 pages
File Size : 44,6 Mb
Release : 2023-07-20
Category : Computers
ISBN : 9780443194146

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Deep Learning in Personalized Healthcare and Decision Support by Harish Garg,Jyotir Moy Chatterjee Pdf

Deep Learning in Personalized Healthcare and Decision Support discusses the potential of deep learning technologies in the healthcare sector. The book covers the application of deep learning tools and techniques in diverse areas of healthcare, such as medical image classification, telemedicine, clinical decision support system, clinical trials, electronic health records, precision medication, Parkinson disease detection, genomics, and drug discovery. In addition, it discusses the use of DL for fraud detection and internet of things. This is a valuable resource for researchers, graduate students and healthcare professionals who are interested in learning more about deep learning applied to the healthcare sector. Although there is an increasing interest by clinicians and healthcare workers, they still lack enough knowledge to efficiently choose and make use of technologies currently available. This book fills that knowledge gap by bringing together experts from technology and clinical fields to cover the topics in depth. Discusses the application of deep learning in several areas of healthcare, including clinical trials, telemedicine and health records management Brings together experts in the intersection of deep learning, medicine, healthcare and programming to cover topics in an interdisciplinary way Uncovers the stakes and possibilities involved in realizing personalized healthcare services through efficient and effective deep learning technologies

Metaverse Applications for Intelligent Healthcare

Gaur, Loveleen,Jhanjhi, Noor Zaman
Metaverse Applications for Intelligent Healthcare Book PDF

Author : Gaur, Loveleen,Jhanjhi, Noor Zaman
Publisher : IGI Global
Page : 422 pages
File Size : 46,9 Mb
Release : 2023-11-24
Category : Medical
ISBN : 9781668498248

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Metaverse Applications for Intelligent Healthcare by Gaur, Loveleen,Jhanjhi, Noor Zaman Pdf

Metaverse Applications for Intelligent Healthcare explores the exciting intersection of artificial intelligence (AI) and the metaverse in the field of healthcare. The use of AI technology in healthcare has already shown great potential in assisting with diagnosis, treatment, and patient care. The metaverse, with its immersive virtual environments, has the potential to revolutionize healthcare by making it more accessible, efficient, and personalized. This book introduces various applications of the metaverse in healthcare, including virtual consultations, remote patient monitoring, and virtual rehabilitation. The book discusses how the metaverse can be used to provide immersive experiences that empower patients and providers, while also offering unique learning opportunities. The book is ideal for researchers, practitioners, healthcare professionals, scholars, and students who are interested in exploring the cutting-edge technology of AI and the metaverse in healthcare. It offers insights into the future of healthcare, and how these technologies can be used to provide better care to patients. By combining the latest research in AI and the metaverse, this book provides a comprehensive overview of the potential applications of these technologies in healthcare.

Applying Machine Learning Techniques to Bioinformatics: Few-Shot and Zero-Shot Methods

Lilhore, Umesh Kumar,Kumar, Abhishek,Simaiya, Sarita,Vyas, Narayan,Dutt, Vishal
Applying Machine Learning Techniques to Bioinformatics Few Shot and Zero Shot Methods Book PDF

Author : Lilhore, Umesh Kumar,Kumar, Abhishek,Simaiya, Sarita,Vyas, Narayan,Dutt, Vishal
Publisher : IGI Global
Page : 418 pages
File Size : 50,8 Mb
Release : 2024-03-22
Category : Computers
ISBN : 9798369318232

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Applying Machine Learning Techniques to Bioinformatics: Few-Shot and Zero-Shot Methods by Lilhore, Umesh Kumar,Kumar, Abhishek,Simaiya, Sarita,Vyas, Narayan,Dutt, Vishal Pdf

Why are cutting-edge data science techniques such as bioinformatics, few-shot learning, and zero-shot learning underutilized in the world of biological sciences?. In a rapidly advancing field, the failure to harness the full potential of these disciplines limits scientists’ ability to unlock critical insights into biological systems, personalized medicine, and biomarker identification. This untapped potential hinders progress and limits our capacity to tackle complex biological challenges. The solution to this issue lies within the pages of Applying Machine Learning Techniques to Bioinformatics. This book serves as a powerful resource, offering a comprehensive analysis of how these emerging disciplines can be effectively applied to the realm of biological research. By addressing these challenges and providing in-depth case studies and practical implementations, the book equips researchers, scientists, and curious minds with the knowledge and techniques needed to navigate the ever-changing landscape of bioinformatics and machine learning within the biological sciences.

Proceedings of 3rd International Conference on Mathematical Modeling and Computational Science

Sheng-Lung Peng,Noor Zaman Jhanjhi,Souvik Pal,Fathi Amsaad
Proceedings of 3rd International Conference on Mathematical Modeling and Computational Science Book PDF

Author : Sheng-Lung Peng,Noor Zaman Jhanjhi,Souvik Pal,Fathi Amsaad
Publisher : Springer Nature
Page : 559 pages
File Size : 55,7 Mb
Release : 2023-08-28
Category : Technology & Engineering
ISBN : 9789819936113

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Proceedings of 3rd International Conference on Mathematical Modeling and Computational Science by Sheng-Lung Peng,Noor Zaman Jhanjhi,Souvik Pal,Fathi Amsaad Pdf

The volume is a collection of high-quality, peer-reviewed research papers presented at the Third International Conference on Mathematical Modeling and Computational Science (ICMMCS 2023), held during 24 – 25 February 2023 in hybrid mode. The topics covered in the book are mathematical logic and foundations, numerical analysis, neural networks, fuzzy set theory, coding theory, higher algebra, number theory, graph theory and combinatory, computation in complex networks, calculus, differential educations and integration, application of soft computing, knowledge engineering, machine learning, artificial intelligence, big data and data analytics, high performance computing, network and device security, Internet of Things (IoT).