الصفحة 3
الصفحة 3
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Computational analysis and deep learning for medical care : Principles, methods, and applications

Focuses on the sophisticated methods for improving dye extraction and dyeing properties which will minimize the use of bioresource products. This book also brings out the innovative ways of wet chemical processing to alleviate the environmental impacts arising from this sector.

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Chitosan-based nanocomposite materials : fabrication, characterization and biomedical applications

Discovery in the use of chitosan-based nanocomposites in biomedical applications, including the scope to which these novel materials have been incorporated by the community. It provides an exceptional insight into the strategies for the synthesis and chemical modifications of chitosan, characterization techniques, their use as anticancer agents, antimicrobial, antiviral, and antifungal agents, their role in the biomedical field, and applications in drug delivery, gene therapy, dentistry, orthopedics, etc. This book will also emphasize the challenges with previous signs of progress and way for further research, details relating to the current pioneering technology, and future perspectives with a multidisciplinary approach. Furthermore, it presents up-to-date information on the economics, toxicity, and regulations related to these novel materials.

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Chitosan : properties and applications in bioengineering

Presents a review of chitosan, including information regarding its structure, main properties, available sources, extraction, and processing techniques. It presents the different applications of chitosan as a biomaterial in fields such as medicine and the agricultural, cosmetology, pharmaceutical, and food industries to have readers obtain a more technical vision of the current use of this biopolymer.

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Bioresonance therapy and telemedicine

The aim of our research project is to highlight the Medical application of Physics although we as Pharmacologist remain often focused on the value of Pedications to resolve any disease however we noticed Some complicated medical problems such as antibiotic Resistance where we cannot find any responsive Chemical therapy therefore we referred to the history of Bio resonance therapy however we were also concerned To report the medical value by following some patients Whom were treated and to analyze the mechanism in Which this therapy is effective, and for which diseases And we also hope that this established device for Targeting Bacteria, viruses can hold a hope for patients Who are diagnosed with Corona, there is a proof of Principle for that hypothesis since the scientist Rife has Invented this therapy by interference destruction wave Which could destroy specifically this bacteria upon its Frequency wave without possible

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Biophotonics

More profound understanding of the nature of light and light-matter interactions in biology has enabled many applications in the biology and medical fields. So a new discipline is born, namely biophotonics. The aim of this book is to review the current state-of-the-art of the field by means of authoritative chapters written by the world leaders of the respective fields. Biosensors, biochips, optical tomography, optical microsurgery, photodynamics therapy, bioactivation of gene, photobiology of skin, and nanobiophotonics are each introduced and recent advances presented. This book will be useful not only to physicians, biologists, physicists, chemists, materials scientists, and engineers but also to graduate students who are interested in these rapidly developing fields.

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Biomineralization : From molecular and nano-structural analyses to environmental science

Over the past 45 years, biomineralization research has unveiled details of the characteristics of the nano-structure of various biominerals; the formation mechanism of this nano-structure, including the initial stage of crystallization; and the function of organic matrices in biominerals, and this knowledge has been applied to dental, medical, pharmaceutical, materials, agricultural and environmental sciences and paleontology. As such, biomineralization is an important interdisciplinary research area, and further advances are expected in both fundamental and applied research.

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BioMEMS and Biomedical Nanotechnology : Vol. I: Biological and Biomedical Nanotechnology

Abe Lee has been working on micro/ and nanotechnology for biomedical and biotech applications since 1992. His recent research focuses on the development of integrated micro and nano fluidic chip processors for the following applications: point-of-care diagnostics, "smart" nanomedicine for early detection and treatment, stem cell biology and therapeutics, the synthesis of novel and pure materials, and biosensors to detect environmental and terrorism threats. Jim Lee's research interest includes BioMEMS/NEMS, and polymer micro/nanotechnology. In the last 4 years, he has over 20 refereed journal publications, 2 book chapters, and 5 patents in these areas. He is now leading an NSF Nanoscale Science and Engineering Center for Affordable Nanoengineering of Polymer Biomedical Devices at OSU.

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Biomedical Image Registration ; 3rd International Workshop, WBIR 2006, Utrecht, The Netherlands, July 9-11, 2006, Proceedings

This book constitutes the thoroughly refereed post-proceedings of the Third International Workshop on Biomedical Image Registration. The 20 revised full papers and 18 revised poster papers presented were carefully reviewed and selected for inclusion in the book. The papers cover all areas of biomedical image registration; methods of registration, biomedical applications, and validation of registration.

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Biomedical applications and toxicity of nanomaterials

Covers the recent trends on the biological applications of nanomaterials, methods for their preparation, and techniques for their characterization. Further, the book examines the fundamentals of nanotoxicity, methods to assess the toxicity of engineered nanomaterials, approaches to reduce toxicity during synthesis. It also provides an overview of the state of the art in the application of Artificial intelligence-based methodologies for evaluation of toxicity of drugs and nanoparticles. The book further discusses nanocarrier design, routes of various nanoparticle administration, nano based drug delivery systems, and the toxicity challenges associated with each drug delivery method. It presents the latest advances in the interaction of nanoparticles with the cellular environment and assess nanotoxicity of these engineered nanoparticles. The book also explores the comparative and mechanistic genotoxicity assessment of the nanomaterials. This book is useful source of information for industrial practitioners, policy makers, and other professionals in the fields of toxicology, medicine, pharmacology, food, and drugs.

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Bioinformatics research and development ; 1st International Conference, BIRD 2007, Berlin, Germany, March 12-14, 2007, Proceedings

This volume covers a wide range of topics related to bioinformatics like microarray data, genomics, single nucleotide polymorphism, sequence analysis, systems biology, medical applications, proteomics, information systems.

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Artificial neural networks : Biological Inspirations – ICANN 2005 ; 15th International Conference, Warsaw, Poland, September 11-15, 2005, Proceedings, Part I

The two volume set LNCS 3696 and LNCS 3697 constitutes the refereed proceedings of the 15th International Conference on Artificial Neural Networks, ICANN 2005, held in Warsaw, Poland in September 2005. The over 600 papers submitted to ICANN 2005 were thoroughly reviewed and carefully selected for presentation. The first volume includes 106 contributions related to Biological Inspirations; topics addressed are modeling the brain and cognitive functions, development of cognitive powers in embodied systems spiking neural networks, associative memory models, models of biological functions, projects in the area of neuroIT, evolutionary and other biological inspirations, self-organizing maps and their applications, computer vision, face recognition and detection, sound and speech recognition, bioinformatics, biomedical applications, and information- theoretic concepts in biomedical data analysis.

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Artificial intelligence in medicine

Provides a structured and analytical guide to the use of artificial intelligence in medicine. Covering all areas within medicine, the chapters give a systemic review of the history, scientific foundations, present advances, potential trends, and future challenges of artificial intelligence within a healthcare setting.

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Artificial intelligence in drug design

Looks at applications of artificial intelligence (AI), machine learning (ML), and deep learning (DL) in drug design. The chapters in this book describe how AI/ML/DL approaches can be applied to accelerate and revolutionize traditional drug design approaches such as: structure- and ligand-based, augmented and multi-objective de novo drug design, SAR and big data analysis, prediction of binding/activity, ADMET, pharmacokinetics and drug-target residence time, precision medicine and selection of favorable chemical synthetic routes. How broadly are these approaches applied and where do they maximally impact productivity today and potentially in the near future.

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Artificial intelligence in dentistry

Provides an introduction to next-generation applications and technologies for improving diagnostic accuracy and prediction of treatment outcomes in dentistry through the use of artificial intelligence (AI) and machine learning (ML). The authors attempt to bridge the gap between dental research and global health outcomes, as well as provide a comprehensive guide to general and clinical aspects of dental and oral health issues and the etiology, prevalence, assessment, and management of these conditions.

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Artificial intelligence based cancer nanomedicine : Diagnostics, therapeutics and bioethics

Nanomedicine is evolving with novel drug formulations devised for multifunctional approaches towards diagnostics ad therapeutics. Nanomedicine-based drug therapy is normally explored at a fixed dose. The drug action is time-dependent, dose-dependent and patient-specific. To overcome challenges of nanomedicine testing, artificial intelligence (AI) serves as a helping tool for optimizing the drug and dose parameters. Real time conversions between these two features enables upgradation of patient data acquisition and improved design of nanomaterials. In this scenario, AI-based pattern analysis and algorithms models can greatly improve accuracy of diagnostics and therapeutics.

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Artificial intelligence and soft computing ; 19th International conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020, Proceedings, Part II

The two-volume set LNCS 12415 and 12416 constitutes the refereed proceedings of of the 19th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2020, held in Zakopane, Poland*, in October 2020. The 112 revised full papers presented were carefully reviewed and selected from 265 submissions. The papers included in the first volume are organized in the following six parts: ​neural networks and their applications; fuzzy systems and their applications; evolutionary algorithms and their applications; pattern classification; bioinformatics, biometrics and medical applications; artificial intelligence in modeling and simulation. The papers included in the second volume are organized in the following four parts: computer vision, image and speech analysis; data mining; various problems of artificial intelligence; agent systems, robotics and control.

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Artificial intelligence and soft computing ; 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020, Proceedings, Part I

The two-volume set LNCS 12415 and 12416 constitutes the refereed proceedings of of the 19th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2020, held in Zakopane, Poland*, in October 2020. The 112 revised full papers presented were carefully reviewed and selected from 265 submissions. The papers included in the first volume are organized in the following six parts: ​neural networks and their applications; fuzzy systems and their applications; evolutionary algorithms and their applications; pattern classification; bioinformatics, biometrics and medical applications; artificial intelligence in modeling and simulation. The papers included in the second volume are organized in the following four parts: computer vision, image and speech analysis; data mining; various problems of artificial intelligence; agent systems, robotics and control.

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Artificial intelligence and soft computing – ICAISC 2006 ; 8th International Conference, Zakopane, Poland, June 25-29, 2006, Proceedings

This book constitutes the refereed proceedings of the 8th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2006, held in Zakopane, Poland, in June 2006. The 128 revised contributed papers presented are organized in topical sections on neural networks and their applications, fuzzy systems and their applications, evolutionary algorithms and their applications, rough sets, classification and clustering, image analysis and robotics, bioinformatics and medical applications, various problems of artificial intelligence.

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Applications and Innovations in Intelligent Systems XIII ; Proceedings of AI-2005, the Twenty-fifth SGAI International Conference on Innovative Techniques and Applications of Artifical Intelligence

The papers in this volume present new and innovative developments in the field, divided into sections on Applied AI in Information Processing, Techniques for Applied AI, Industrial Applications and Medical Applications.This is the thirteenth volume in the Applications and Innovations series. The series serves as a key reference as to how AI technology has enabled organisations to solve complex problems and gain significant business benefit.

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An introduction to generative drug discovery

Describes the state‑of‑the‑art methods and applications for de novo design of drug candidates using generative chemistry models as well as the ethical aspects of this technology. It will provide a foundation for those new to the field as well as those that may already have some experience of its utility. With contributions from scientists in both academia and industry ‘Introduction to Generative Drug Discovery’ may represent one of the earliest if not the first book to focus on this topic.

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