Computational Intelligence For Oncology And Neurological Disorders
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Computational Intelligence For Oncology And Neurological Disorders
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Author : Mrutyunjaya Panda
language : en
Publisher: CRC Press
Release Date : 2024-07-15
Computational Intelligence For Oncology And Neurological Disorders written by Mrutyunjaya Panda and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-15 with Computers categories.
With the advent of computational intelligence-based approaches, such as bio-inspired techniques, and the availability of clinical data from various complex experiments, medical consultants, researchers, neurologists, and oncologists, there is huge scope for CI-based applications in medical oncology and neurological disorders. This book focuses on interdisciplinary research in this field, bringing together medical practitioners dealing with neurological disorders and medical oncology along with CI investigators. The book collects high-quality original contributions, containing the latest developments or applications of practical use and value, presenting interdisciplinary research and review articles in the field of intelligent systems for computational oncology and neurological disorders. Drawing from work across computer science, physics, mathematics, medical science, psychology, cognitive science, oncology, and neurobiology among others, it combines theoretical, applied, computational, experimental, and clinical research. It will be of great interest to any neurology or oncology researchers focused on computational approaches.
Computational Intelligence For Oncology And Neurological Disorders
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Author : Mrutyunjaya Panda
language : en
Publisher:
Release Date : 2024-07
Computational Intelligence For Oncology And Neurological Disorders written by Mrutyunjaya Panda and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07 with Medical categories.
Computational Intelligence Algorithms For The Diagnosis Of Neurological Disorders
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Author : S. N. Kumar
language : en
Publisher: CRC Press
Release Date : 2025-08-06
Computational Intelligence Algorithms For The Diagnosis Of Neurological Disorders written by S. N. Kumar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-06 with Computers categories.
This book delves into the transformative potential of artificial intelligence (AI) and machine learning (ML) as game-changers in diagnosing and managing neurodisorder conditions. It covers a wide array of methodologies, algorithms, and applications in depth. Computational Intelligence Algorithms for the Diagnosis of Neurological Disorders equips readers with a comprehensive understanding of how computational intelligence empowers healthcare professionals in the fight against neurodisorders. Through practical examples and clear explanations, it explores the diverse applications of these technologies, showcasing their ability to analyze complex medical data, identify subtle patterns, and contribute to the development of more accurate and efficient diagnostic tools. The authors delve into the exciting possibilities of AI-powered algorithms, exploring their ability to analyze various data sources like neuroimaging scans, genetic information, and cognitive assessments. They also examine the realm of ML for pattern recognition, enabling the identification of early disease markers and facilitating timely intervention. Finally, the authors also address the critical challenges of data privacy and security, emphasizing the need for robust ethical frameworks to safeguard sensitive patient information. This book aims to spark a conversation and foster collaboration among researchers, clinicians, and technologists, and will assist radiologists and neurologists in making precise diagnoses with enhanced accuracy.
Sustainable Computing And Intelligent Systems
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Author : Jagdish Chand Bansal
language : en
Publisher: Springer Nature
Release Date : 2025-05-06
Sustainable Computing And Intelligent Systems written by Jagdish Chand Bansal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-06 with Computers categories.
This book presents selected papers from International Conference on Sustainable Computing and Intelligent Systems (SCIS 2024), held on 9–10 September 2024, in University of Canberra, Bruce, Australia. The topics covered in the book are green computing, renewable energy integration, sustainable urban computing, IoT and sustainability, sustainable IoT applications, data analytics for sustainability, internet of things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, intelligent IoT eHealth, bio-inspired intelligence, brain modeling and simulation, cognitive systems, cyber-physical systems, data analytics, data/web mining, data science, hybrid systems and intelligence for security.
Computational Intelligence In Oncology
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Author : Khalid Raza
language : en
Publisher: Springer Nature
Release Date : 2022-03-01
Computational Intelligence In Oncology written by Khalid Raza and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-01 with Technology & Engineering categories.
This book encapsulates recent applications of CI methods in the field of computational oncology, especially cancer diagnosis, prognosis, and its optimized therapeutics. The cancer has been known as a heterogeneous disease categorized in several different subtypes. According to WHO’s recent report, cancer is a leading cause of death worldwide, accounting for over 10 million deaths in the year 2020. Therefore, its early diagnosis, prognosis, and classification to a subtype have become necessary as it facilitates the subsequent clinical management and therapeutics plan. Computational intelligence (CI) methods, including artificial neural networks (ANNs), fuzzy logic, evolutionary computations, various machine learning and deep learning, and nature-inspired algorithms, have been widely utilized in various aspects of oncology research, viz. diagnosis, prognosis, therapeutics, and optimized clinical management. Appreciable progress has been made toward the understanding the hallmarks of cancer development, progression, and its effective therapeutics. However, notwithstanding the extrinsic and intrinsic factors which lead to drastic increment in incidence cases, the detection, diagnosis, prognosis, and therapeutics remain an apex challenge for the medical fraternity. With the advent in CI-based approaches, including nature-inspired techniques, and availability of clinical data from various high-throughput experiments, medical consultants, researchers, and oncologists have seen a hope to devise and employ CI in various aspects of oncology. The main aim of the book is to occupy state-of-the-art applications of CI methods which have been derived from core computer sciences to back medical oncology. This edited book covers artificial neural networks, fuzzy logic and fuzzy inference systems, evolutionary algorithms, various nature-inspired algorithms, and hybrid intelligent systems which are widely appreciated for the diagnosis, prognosis, and optimization of therapeutics of various cancers. Besides, this book also covers multi-omics exploration, gene expression analysis, gene signature identification of cancers, genomic characterization of tumors, anti-cancer drug design and discovery, drug response prediction by means of CI, and applications of IoT, IoMT, and blockchain technology in cancer research.
Principles Of Computational Genomics
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Author : Paolo Provero
language : en
Publisher: CRC Press
Release Date : 2025-05-13
Principles Of Computational Genomics written by Paolo Provero and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-13 with Science categories.
The advent of high-throughput experimental assays, and in particular of next-generation sequencing, has revolutionized life sciences by enabling the generation of data at the scale of the whole genome. Extracting biologically useful or clinically actionable information from this data requires analytical methods quite different from the ones used to analyze low-throughput experimental results. The development of these methods is the goal of computational biology. Understanding the principles on which these methods are based is thus necessary for all students and researchers in life sciences. This book provides the conceptual framework needed to understand computational genomics enough to be able to follow the arguments in recent papers, or to collaborate with computational scientists in research projects. In particular, it introduces the mathematical and statistical basis of the methods in some depth. The main focus is on the analysis of next-generation-sequencing assays, both for the interpretation of the DNA sequence per se (sequence alignment, phylogenetic tree reconstruction, genetic variants) and for the study of gene regulation and epigenomics (gene expression, transcription factor binding, chromatin states, 3D structure of the genome). The final chapter discusses the associations of genetic variants with phenotypes and diseases, and their biological interpretation. Principles of Computational Genomics provides a solid foundation for understanding the many parts of computational genomics, including those not treated directly in the book. It will be of great benefit to students and researchers across the life sciences.
Rna Computational Methods For Structure Kinetics And Rational Design Volume One
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Author : Peter G. Clote
language : en
Publisher: CRC Press
Release Date : 2025-03-20
Rna Computational Methods For Structure Kinetics And Rational Design Volume One written by Peter G. Clote and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-20 with Computers categories.
Comprising two volumes, RNA: Computational Methods for Structure, Kinetics, and Rational Design is a comprehensive treatment of computational methods concerning the secondary structure, folding kinetics and rational design of RNA. Volume One concerns energy and structure and is divided into five chapters. Chapter 1 describes the molecular structure of ribonucleotides, basic classes of RNA and databases of RNA sequences and structure. Chapter 2 presents the basic concepts of thermodynamics, since thermodynamics-based algorithms constitute an essential tool in rational design of functional RNA molecules. Chapter 3 describes how empirical secondary structure energy parameters are obtained from ultraviolet absorbance experiments via Van 't Hoff plots and least-squares data fitting. Chapter 4 describes methods from combinatorics, automata and formal language theory, and complex analysis. Chapter 5 provides an overview of some of the most important thermodynamics-based algorithms related to secondary structure. Exercises and solutions are provided at the end of every chapter and source code is available at the book's website (sometimes including computer programs using Python and extensions Numpy and Scipy). This book provides the nuts, bolts and tools to take the next steps in computational RNA synthetic biology. It is perfect for advanced undergraduate, graduate and post-graduate readers having analytical interests and skills from areas such as physical chemistry, physics, mathematics, computer science, and statistics.
Transforming Neuropsychology And Cognitive Psychology With Ai And Machine Learning
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Author : Bansal, Rohit
language : en
Publisher: IGI Global
Release Date : 2025-01-03
Transforming Neuropsychology And Cognitive Psychology With Ai And Machine Learning written by Bansal, Rohit and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-03 with Psychology categories.
The integration of artificial intelligence and machine learning into neuropsychology and cognitive psychology is revolutionizing how we understand, diagnose, and treat neurological and psychological conditions. By leveraging advanced algorithms, these technologies enable earlier detection of cognitive decline, more precise diagnoses, and personalized therapeutic interventions. They enhance the accuracy of neuropsychological assessments, automate scoring processes, and uncover subtle patterns in data that traditional methods might overlook. Furthermore, real-time data analysis from wearable devices and smartphones offers a continuous understanding of cognitive and emotional states, bridging the gap between clinical settings and daily life. This convergence promises to transform patient care and advance research, paving the way for more effective and innovative solutions in mental health and brain science. Transforming Neuropsychology and Cognitive Psychology With AI and Machine Learning highlights the synergies between neuropsychology, cognitive psychology, AI, and machine learning, and explores innovative applications, methodologies, and future prospects. It serves as a comprehensive resource for the latest advancements in AI algorithms and machine learning within neuropsychology and cognitive psychology. Covering topics such as AI-driven assessments, college counseling, and virtual reality, this book is an excellent resource for academicians, researchers, graduate and postgraduate students, mental health practitioners, industry researchers, non-governmental and governmental organizations, and more.
Augmenting Neurological Disorder Prediction And Rehabilitation Using Artificial Intelligence
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Author : Anitha S. Pillai
language : en
Publisher: Academic Press
Release Date : 2022-02-23
Augmenting Neurological Disorder Prediction And Rehabilitation Using Artificial Intelligence written by Anitha S. Pillai and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-23 with Science categories.
Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence focuses on how the neurosciences can benefit from advances in AI, especially in areas such as medical image analysis for the improved diagnosis of Alzheimer's disease, early detection of acute neurologic events, prediction of stroke, medical image segmentation for quantitative evaluation of neuroanatomy and vasculature, diagnosis of Alzheimer's Disease, autism spectrum disorder, and other key neurological disorders. Chapters also focus on how AI can help in predicting stroke recovery, and the use of Machine Learning and AI in personalizing stroke rehabilitation therapy. Other sections delve into Epilepsy and the use of Machine Learning techniques to detect epileptogenic lesions on MRIs and how to understand neural networks. - Provides readers with an understanding on the key applications of artificial intelligence and machine learning in the diagnosis and treatment of the most important neurological disorders - Integrates recent advancements of artificial intelligence and machine learning to the evaluation of large amounts of clinical data for the early detection of disorders such as Alzheimer's Disease, autism spectrum disorder, Multiple Sclerosis, headache disorder, Epilepsy, and stroke - Provides readers with illustrative examples of how artificial intelligence can be applied to outcome prediction, neurorehabilitation and clinical exams, including a wide range of case studies in predicting and classifying neurological disorders
Advances In Computational Intelligence For Health Informatics And Computer Aided Diagnosis
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Author : A. Malini
language : en
Publisher: CRC Press
Release Date : 2025-04-23
Advances In Computational Intelligence For Health Informatics And Computer Aided Diagnosis written by A. Malini and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-23 with Medical categories.
This book provides a comprehensive overview of the intersection of computational intelligence, health informatics, and computer-aided diagnosis (CAD). The book explores and highlights the latest advancements, methodologies, applications, and tools in these fields. Advances in Computational Intelligence for Health Informatics and Computer-Aided Diagnosis: Methods, Applications, and Tools covers a broad spectrum of computational intelligence approaches, from basic concepts to advanced methodologies. The focus on health informatics reflects the book's commitment to researching data integration, privacy issues, and interoperability issues that are crucial in today's healthcare landscape. The book's core is its in-depth examination of CAD systems, which encompasses numerous healthcare sectors and underlines the technological complexity involved in building accurate and efficient diagnostic tools. Some of the other key areas covered include: medical imaging analysis, disease identification and diagnosis, and drug research and development. It also provides case studies that demonstrate how computational intelligence methods are applied in real-world healthcare scenarios, giving readers a practical understanding of the subject matter. The authors then discuss future trends and directions in computational intelligence for health informatics. The book is designed to serve as a guide to for academics, professionals, and students who are curious about the challenges of integrating contemporary computational approaches into medical diagnostics and decision support.