Artificial Intelligence And Bioinformatics In Cancer An Interdisciplinary Approach
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Artificial Intelligence And Bioinformatics In Cancer An Interdisciplinary Approach
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Author : Nima Rezaei
language : en
Publisher: Springer Nature
Release Date : 2025-05-30
Artificial Intelligence And Bioinformatics In Cancer An Interdisciplinary Approach written by Nima Rezaei and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-30 with Medical categories.
The “Artificial Intelligence and Bioinformatics in Cancer: An Interdisciplinary Approach” is the eighteenth volume of the “Interdisciplinary Cancer Research” series, publishes comprehensive volume on the advances of machine learning and bioinformatics in cancer. The volume starts with a chapter on application of artificial intelligence for early diagnosis of cancer. Then digital health technologies in cancer care and research is discussed. Unveiling cancer complexity: machine learning insights into multi-omics data and the role of integrated bioinformatics in cancer research are also discussed. In silico and biophysical approaches in cancer research and in silico methods and targeted receptors used in cancer studies are explained in the following chapters. The modeling uncertain growth and diffusion in cancer tumors with heterogeneous cell mutations, imaging tumor metabolism and its heterogeneity with special focus on radiomics and artificial intelligence are also discussed. Mathematical modeling of cancer tumor dynamics as well as recent advances in artificial intelligence for cancer treatment are presented, while signature-based drug repositioning for drug discovery employing machine learning tools is also discussed. After a chapter on mathematical analysis of cancer-tumor models, the subsequent chapters discuss on the role of artificial intelligence in colorectal cancer, breast cancer, lung cancer, brain tumor, and cervical cancer. This is the main concept of Cancer Immunology Project (CIP), which is a part of Universal Scientific Education and Research Network (USERN). This interdisciplinary book will be of special value for oncologists who wish to have an update on application of artificial intelligence in diagnosis and treatment of cancers.
Cancer Treatment An Interdisciplinary Approach
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Author : Nima Rezaei
language : en
Publisher: Springer Nature
Release Date : 2024-01-01
Cancer Treatment An Interdisciplinary Approach written by Nima Rezaei and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-01 with Medical categories.
Cancer treatment is a challenging issue, while the treatment modalities have extended from traditional surgery, chemotherapy, and radiation therapy to new therapeutic approaches, including targeted therapy, immunotherapy, stem cell transplantation, and hormone therapy. Therefore, an interdisciplinary approach is needed to find a better therapeutic protocols in order to increase the prognosis and quality of life of patients with cancer. The second volume of the “Interdisciplinary Cancer Research” series, entitled “Cancer Treatment: An Interdisciplinary Approach” publishes comprehensive volumes on different cancer treatment modalities and presents the most updated and peer-reviewed articles on cancer therapy. This interdisciplinary series is of special value to researchers and practitioners working on cell biology, immunology, hematology, biochemistry, genetics, oncology and related fields. This is the main concept of Cancer Immunology Project (CIP), which is a part of Universal Scientific Education and Research Network (USERN). This interdisciplinary book will be of special value for researchers and clinicians who wish to extend their knowledge on cancer treatment.
Interdisciplinary Approaches To Altering Neurodevelopmental Disorders
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Author : Wadhera, Tanu
language : en
Publisher: IGI Global
Release Date : 2020-03-13
Interdisciplinary Approaches To Altering Neurodevelopmental Disorders written by Wadhera, Tanu and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-13 with Medical categories.
Disorder-assistive and neurotechnological devices are experiencing a boom in the global market. Mounting evidence suggests that approaches based on several different domains should move towards the goal of early diagnosis of individuals affected by neurodevelopmental disorders. Using an interdisciplinary and collaborative approach in diagnosis and support can resolve many hurdles such as lack of awareness, transport, and financial burdens by being made available to individuals at the onset of symptoms. Interdisciplinary Approaches to Altering Neurodevelopmental Disorders is a pivotal reference source that explores neurodevelopmental disorders and a diverse array of diagnostic tools and therapies assisted by neurotechnological devices. While covering a wide range of topics including individual-centered design, artificial intelligence, and multifaceted therapies, this book is ideally designed for neuroscientists, medical practitioners, clinical psychologists, special educators, counselors, therapists, researchers, academicians, and students.
Breast Cancer Treatment An Interdisciplinary Approach
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Author : Nima Rezaei
language : en
Publisher: Springer Nature
Release Date : 2024-07-19
Breast Cancer Treatment An Interdisciplinary Approach written by Nima Rezaei and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-19 with Medical categories.
There are different types of treatment for breast cancer, including surgery, chemotherapy, radiotherapy, hormone therapy, immunotherapy, and targeted therapy. Deciding on the types of treatment depends on several factors, such as the stage and grade of cancer, biomarkers, and general health of patients. The seventh volume of the “Interdisciplinary Cancer Research” series, entitled “Breast Cancer Treatment: An Interdisciplinary Approach” publishes comprehensive reviews on different treatment opportunities on breast cancer. An update on treatment of triple-negative breast cancer and ductal carcinoma in situ is provided. Ablative breast cancer surgery, radiotherapy, and percutaneous breast cancer treatment are explained. Promising hormone immunotherapy combination as well as targeted therapies for breast cancer is also discussed. This interdisciplinary series is of special value to researchers working on oncology. This is the main concept of Cancer Immunology Project (CIP), which is a part of Universal Scientific Education and Research Network (USERN). This interdisciplinary book will be of special value to researchers and oncologists who wish to extend their knowledge on breast cancer treatment.
Bioinformatics And Medical Informatics Annual Volume 2024
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Author :
language : en
Publisher: BoD – Books on Demand
Release Date : 2024-07-31
Bioinformatics And Medical Informatics Annual Volume 2024 written by and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-31 with categories.
Bioinformatics And Beyond
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Author : Moolchand Sharma
language : en
Publisher: CRC Press
Release Date : 2025-03-19
Bioinformatics And Beyond written by Moolchand Sharma and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-19 with Technology & Engineering categories.
This book is a comprehensive exploration of the dynamic interplay between bioinformatics and artificial intelligence (AI) within the healthcare landscape. This book introduces readers to the foundational principles of bioinformatics and AI, elucidating their integration and collaborative potential. Bioinformatics and Beyond: AI Applications in Healthcare explores the transformative impact of data-driven insights, showcasing the applications of machine learning in diagnostics, personalized medicine, and genomic advancements. The book unveils the pivotal role AI plays in accelerating pharmaceutical research. Moreover, it addresses the practical implementation of AI in clinical decision support systems, while also critically examining challenges and ethical considerations associated with these technologies. Finally, the book looks toward the future, envisioning emerging trends and technologies that promise to reshape the future of healthcare. Aimed at professionals, researchers, and students across diverse disciplines, this book serves as an invaluable guide to understanding and navigating the evolving landscape of AI applications in healthcare. This book is tailored to meet the needs of scientists, researchers, practitioners, professionals, and educators actively engaged in the realms of bioinformatics, artificial intelligence, and healthcare. It will be an indispensable resource for those seeking advanced strategies to address challenges and harness opportunities in the rapidly evolving fields of medical and biomedical research.
Machine Learning In Biomedical And Health Informatics
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Author : Sudip Kumar Sahana
language : en
Publisher: CRC Press
Release Date : 2025-09-23
Machine Learning In Biomedical And Health Informatics written by Sudip Kumar Sahana and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-23 with Technology & Engineering categories.
Machine learning is playing an indispensable role in framing clinical decisions and enhancing accuracy. This new book offers a comprehensive take on the field of biomedical and health informatics, discussing topics that include predictive health analytics, pandemic management, AI ethics, application and integration of Internet of Things and machine learning for effective healthcare, and more. The book covers a range of bioinformatics tools and methods and their relation to drug designing and drug screening using ML. Several chapters cover clustering techniques and other methods for analyzing human heart-related disorders. The authors also explore the use of ML in creating adaptive therapies for using chemotherapy and androgen deprivation therapy for prostate cancer and for tracking diseases such as Parkinson’s Speech, Covid-19, and others. Case studies are included that demonstrate the practical use of ML in healthcare informatics.
Artificial Intelligence Technologies For Computational Biology
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Author : Ranjeet Kumar Rout
language : en
Publisher: CRC Press
Release Date : 2022-11-10
Artificial Intelligence Technologies For Computational Biology written by Ranjeet Kumar Rout and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-10 with Technology & Engineering categories.
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.
Data Science And Interdisciplinary Research Recent Trends And Applications
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Author : Brojo Kishore Mishra
language : en
Publisher: Bentham Science Publishers
Release Date : 2023-09-27
Data Science And Interdisciplinary Research Recent Trends And Applications written by Brojo Kishore Mishra and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-27 with Computers categories.
Data Science and Interdisciplinary Research: Recent Trends and Applications is a compelling edited volume that offers a comprehensive exploration of the latest advancements in data science and interdisciplinary research. Through a collection of 10 insightful chapters, this book showcases diverse models of machine learning, communications, signal processing, and data analysis, illustrating their relevance in various fields. Key Themes: Advanced Rainfall Prediction: Presents a machine learning model designed to tackle the challenging task of predicting rainfall across multiple countries, showcasing its potential to enhance weather forecasting. Efficient Cloud Data Clustering: Explains a novel computational approach for clustering large-scale cloud data, addressing the scalability of cloud computing and data analysis. Secure In-Vehicle Communication: Explores the critical topic of secure communication in in-vehicle networks, emphasizing message authentication and data integrity. Smart Irrigation 4.0: Details a decision model designed for smart irrigation, integrating agricultural sensor data reliability analysis to optimize water usage in precision agriculture. Smart Electricity Monitoring: Highlights machine learning-based smart electricity monitoring and fault detection systems, contributing to the development of smart cities. Enhanced Learning Environments: Investigates the effectiveness of mobile learning in higher education, shedding light on the role of technology in shaping modern learning environments. Coastal Socio-Economy Study: Presents a case study on the socio-economic conditions of coastal fishing communities, offering insights into the livelihoods and challenges they face. Signal Noise Removal: Shows filtering techniques for removing noise from ECG signals, enhancing the accuracy of medical data analysis and diagnosis. Deep Learning in Biomedical Research: Explores deep learning techniques for biomedical research, particularly in the realm of gene identification using Next Generation Sequencing (NGS) data. Medical Diagnosis through Machine Learning: Concludes with a chapter on breast cancer detection using machine learning concepts, demonstrating the potential of AI-driven diagnostics.
Swarm Optimization For Biomedical Applications
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Author : Saurav Mallik
language : en
Publisher: CRC Press
Release Date : 2025-02-28
Swarm Optimization For Biomedical Applications written by Saurav Mallik and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-28 with Computers categories.
Biomedical engineering is a rapidly growing interdisciplinary area that is providing solutions to biological and medical problems and improving the healthcare system. It is connected to various applications like protein structure prediction, computer-aided drug design, and computerized medical diagnosis based on image and signal data, which accomplish low-cost, accurate, and reliable solutions for improving healthcare services. With the recent advancements, machine learning (ML) and deep learning (DL) techniques are widely used in biomedical engineering to develop intelligent decision-making healthcare systems in real-time. However, accuracy and reliability in model performance can be a concern in tackling data generated from medical images and signals, making it challenging for researchers and practitioners. Therefore, optimized models can produce quality healthcare services to handle the complexities involved in biomedical research. Various optimization techniques have been employed to optimize parameters, hyper-parameters, and architectural information of ML/DL models explicitly applied to biological, medical, and signal data. The swarm intelligence approach has the potential to solve complex non-linear optimization problems. It mimics the collective behavior of social swarms such as ant colonies, honey bees, and bird flocks. The cooperative nature of swarms can search global settings of ML/DL models, which efficiently provide the solution to biomedical engineering applications. Finally, the book aims to provide the utility of swarm optimization and similar optimization techniques to design ML/DL models to improve the solutions related to biomedical engineering.