Computational Intelligence in Bioprinting

Computational Intelligence in Bioprinting
Author: E. Gangadevi
Publisher: John Wiley & Sons
Total Pages: 357
Release: 2024-04-09
Genre: Science
ISBN: 1394204396

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COMPUTATIONAL INTELLIGENCE IN BIOPRINTING The book provides a comprehensive exploration of the evolving field of bioprinting in regenerative medicine and is an essential guide for professionals seeking a thorough understanding of the field. Computational Intelligence in Bioprinting provides a comprehensive overview of the evolving field of bioprinting in reformative medicine, defining the process of printing structures using viable cells, biomaterials, and living molecules. The primary goal is to provide substitutes for tissue implants, which might lead to eliminating the requirement for organ donors, as well as to transform animal testing for the learning and analysis of disease and the growth of treatments. The book offers a comprehensive overview of bioprinting technologies and their applications, emphasizing the integration of computation intelligence, artificial intelligence, and other computer science advancements in the field. By harnessing the power of computational intelligence techniques such as AI, machine learning, optimization algorithms, and data analytics, existing hurdles can be overcome and the full potential of bioprinting can be unlocked. The book covers an extensive range of topics, including bio-ink formulation and characterization, bioprinter hardware and software design, tissue and organ modeling, image analysis, process optimization, and quality control. Audience The book is aimed at professionals, practitioners and researchers in the fields of bioprinting, tissue engineering, and computational intelligence in medicine.

Computational Convergence and Interoperability in Electronic Health Records (EHR)

Computational Convergence and Interoperability in Electronic Health Records (EHR)
Author: Mishra, Renu
Publisher: IGI Global
Total Pages: 398
Release: 2024-08-27
Genre: Medical
ISBN:

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The digitization of patient records has ushered in a new era of possibilities in the healthcare industry, helping it to keep pace with the ever-evolving landscape. However, the need for more seamless interoperability in Electronic Health Record (EHR) systems poses a significant challenge. This fragmented landscape inhibits the exchange, integration, and analysis of crucial health data, hindering efforts to deliver optimal patient care and impeding the advancement of healthcare procedures. By unraveling the complexities of computational convergence and highlighting the pivotal role of interoperability, Computational Convergence and Interoperability in Electronic Health Records (EHR) provides a roadmap for transforming healthcare delivery. It equips data analysts, medical professionals, and IT specialists with the knowledge and tools needed to navigate the intersection of healthcare and technology, enabling them to leverage emerging trends and standards to improve patient outcomes.

Artificial Intelligence in Dentistry

Artificial Intelligence in Dentistry
Author: Kaan Orhan
Publisher: Springer Nature
Total Pages: 363
Release: 2024-02-11
Genre: Medical
ISBN: 3031438272

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This comprehensive book focuses on various aspects of artificial intelligence in dentistry, assisting dentists, specialists, and scientists in advancing their understanding, knowledge, training, and expertise in this field of artificial intelligence. Readers will learn about AI-supported pathways for the diagnosis and treatment of dental caries, periodontal bone loss, impacted teeth, periapical lesions, crown, and root fractures, working length determination, and detecting root and canal morphology, TMJ disorders, detection of obstructive sleep apnea, oral mucosal lesions, and many more. Prediction tasks include the estimation of retreatment needs and third molar eruption. Critical information on applications of AI in the field of Oral and Maxillofacial Radiology, Implants, Endodontics, Prosthodontics, Restorative dentistry, Oral surgery, Periodontics, and Orthodontics. Gain valuable insight into studies applying machine learning based on Machine Learning (ML), Deep Learning (DL), and Artificial Neural Networks (ANN). Explore the technical aspects and medical applications of AI in dentistry. Additionally, discover cutting-edge topics like 3D and bioprinting applications of AI and its integration into dental education. All the chapters provide thorough, evidence-based data on AI and its implications in oral health, bridging the gap between knowledge and practical application. The book explains the advantages, disadvantages, and limitations of AI in dental health. Delve into the medico-legal aspects of AI to navigate this cutting-edge landscape responsibly. Learn about applications of Machine Learning and Artificial Intelligence in the Covid-19 Pandemic. Extensive information on deep learning in image processing, including various types of neural networks, image segmentation, enhancement, reconstruction, and registration. This book concludes with an exploration of AI's exciting potential and future perspectives in the dental field, paving the way for a new era of oral healthcare. Don't miss out on this unique resource for AI in Dentistry, which empowers you to stay at the forefront of innovation and embrace the AI revolution in Dentistry. Be prepared for the future of dentistry.

Artificial Intelligence in Tissue and Organ Regeneration

Artificial Intelligence in Tissue and Organ Regeneration
Author: Chandra P. Sharma
Publisher: Elsevier
Total Pages: 344
Release: 2023-08-31
Genre: Science
ISBN: 0443184992

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Artificial Intelligence in Tissue and Organ Regeneration discusses the role of artificial intelligence as a highly sought-after technology in the area of organ and tissue regeneration. Certain groups have made significant progress in mass producing mini organs and organoids from stem cells utilizing such techniques. As time goes on, there will be a need to improve these procedures, protocols, regulatory guidelines, and their clinical implications. Integrates existing literature in a highly interdisciplinary area Presents comprehensive current and future perspectives, combining artificial intelligence and machine learning with organ and tissue regeneration Provides new and emerging technology that is useful in healthcare and the medical field

Computational Intelligence and Data Sciences

Computational Intelligence and Data Sciences
Author: Ayodeji Olalekan Salau
Publisher: CRC Press
Total Pages: 287
Release: 2022-03-10
Genre: Computers
ISBN: 1000541754

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This book presents futuristic trends in computational intelligence including algorithms as applicable to different application domains in health informatics covering bio-medical, bioinformatics, and biological sciences. Latest evolutionary approaches to solve optimization problems under biomedical engineering field are discussed. It provides conceptual framework with a focus on application of computational intelligence techniques in the domain of biomedical engineering and health informatics including real-time issues.

Emerging Technologies In Biophysical Sciences: A World Scientific Reference (In 3 Volumes)

Emerging Technologies In Biophysical Sciences: A World Scientific Reference (In 3 Volumes)
Author:
Publisher: World Scientific
Total Pages: 1078
Release: 2022-10-14
Genre: Science
ISBN: 9811225699

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Volume 1:Biofabrication aims to produce artificially manufactured tissues and organs, potentially revolutionizing conventional paradigm of clinical practice in treating diseases and extending the life span and quality of human beings. In this volume, we invite notable experts in the field of biofabrication and biomanufacturing to summarize recent rapid progress in this field from multifaceted aspects covering biofabrication techniques and building materials such as scaffold and living cells. Specifically, a focus is placed on a variety of techniques derived from 3D bioprinting and bioassembly strategies, such as acoustic assembly and electrofabrication. Moreover, principles and strategies for choosing hydrogels and polymers for biofabrication are also heavily discussed. Overall, this book creates a good opportunity for undergraduate and postgraduate students as well as bioengineers and medical researchers who wish to gain a fundamental understanding of current status and future trends in biofabrication and biomanufacturing.Volume 2:Infertility has become a significant psychosocial burden affecting the lives of couples who cannot reproduce naturally. Advanced reproductive technologies (ARTs) are being developed to treat infertility. This handbook explores significant development of ARTs for fertility testing, selection of sperm, oocyte and embryo, reproductive monitors, automation in embryology, and fertility preservation. This volume provides a comprehensive overview of the myriad of emerging technologies and systems that are being utilized or will be utilized in near future in reproductive clinics. Overall this book creates a good opportunity for undergraduate and postgraduate students as well as scientists and medical researchers who wish to gain fundamental understanding of current status and future trends in fertility and reproductive medicine.Volume 3:Healthcare industry has a notable paradigm transition from centralized care to the point-of-care (POC). During this metamorphosis, a number of new technologies and strategies have been adapted to the current practice, addressing the existing challenges in the fields of medicine and biology. All the efforts aim to improve the clinical management and the effectiveness and quality of care. In particular, diagnostics has pivotal roles in guiding clinical management for the most effective treatment to control and cure the disease. In contrast to the existing diagnostic strategies employing bulky-sized tools, expensive infrastructure, laborious protocols, and lengthy processing steps, the contribution of biosensors to current healthcare system, especially to diagnostics, is paramount. The unprecedented and admirable characteristics of biosensing strategies have expanded our knowledge on medicine and biology by harmonizing materials science, chemistry, physics, and engineering. We believe that biosensors applied to disease diagnostics will not only garner more attention in clinical research to decipher disease biology and mechanism, and also, stimulate innovative perspectives in artificial intelligence (AI) and internet of things (IoT) synergistically, thereby their more facile adaptation to daily-use. Overall this book creates a good opportunity for undergraduate and postgraduate students as well as scientists and medical researchers who wish to gain fundamental understanding of current status and future trends in diagnostic technologies.

3D Printing Technologies

3D Printing Technologies
Author: Ajay Kumar
Publisher: Walter de Gruyter GmbH & Co KG
Total Pages: 398
Release: 2024-01-29
Genre: Technology & Engineering
ISBN: 3111215113

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Computational Intelligence and Pattern Analysis in Biology Informatics

Computational Intelligence and Pattern Analysis in Biology Informatics
Author: Ujjwal Maulik
Publisher: John Wiley & Sons
Total Pages: 552
Release: 2011-03-21
Genre: Medical
ISBN: 1118097807

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An invaluable tool in Bioinformatics, this unique volume provides both theoretical and experimental results, and describes basic principles of computational intelligence and pattern analysis while deepening the reader's understanding of the ways in which these principles can be used for analyzing biological data in an efficient manner. This book synthesizes current research in the integration of computational intelligence and pattern analysis techniques, either individually or in a hybridized manner. The purpose is to analyze biological data and enable extraction of more meaningful information and insight from it. Biological data for analysis include sequence data, secondary and tertiary structure data, and microarray data. These data types are complex and advanced methods are required, including the use of domain-specific knowledge for reducing search space, dealing with uncertainty, partial truth and imprecision, efficient linear and/or sub-linear scalability, incremental approaches to knowledge discovery, and increased level and intelligence of interactivity with human experts and decision makers Chapters authored by leading researchers in CI in biology informatics. Covers highly relevant topics: rational drug design; analysis of microRNAs and their involvement in human diseases. Supplementary material included: program code and relevant data sets correspond to chapters.

Computational Intelligence in Bioinformatics

Computational Intelligence in Bioinformatics
Author: Gary B. Fogel
Publisher: John Wiley & Sons
Total Pages: 377
Release: 2007-12-10
Genre: Computers
ISBN: 0470199083

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Combining biology, computer science, mathematics, and statistics, the field of bioinformatics has become a hot new discipline with profound impacts on all aspects of biology and industrial application. Now, Computational Intelligence in Bioinformatics offers an introduction to the topic, covering the most relevant and popular CI methods, while also encouraging the implementation of these methods to readers' research.