Artificial Intelligence Based Cancer Nanomedicine Diagnostics Therapeutics And Bioethics PDF Download

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Artificial Intelligence Based Cancer Nanomedicine: Diagnostics, Therapeutics and Bioethics

Artificial Intelligence Based Cancer Nanomedicine: Diagnostics, Therapeutics and Bioethics
Author: Fahima Dilnawaz
Publisher: Bentham Science Publishers
Total Pages: 110
Release: 2022-05-31
Genre: Technology & Engineering
ISBN: 9815050575

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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. This book gives a comprehensive explanation of the role of machine learning and artificial intelligence in cancer nanomedicine. It presents 10 chapters that cover multiple dimensions of the subject. These dimensions are: - The need of AI and ML in designing new cancer drugs - Application of AI in cancer drug design - AI-based drug delivery models for cancer drugs - Diagnostic applications of AI - Intelligent nanosensors for biomarker profiling - Predictive models for metastatic cancer - Cancer nanotheranostics - Ethics of AI in medicine Contributions have been made by 16 researchers who are experts in pharmacology and drug design. The contents of the book bridge knowledge gaps between the fields of biomedical engineering, pharmacology and clinical medicine, with a focus on cancer treatment. The book serves as a reference for scholars learning about cancer diagnostics and therapeutics. Biomedical engineers who are involved in healthcare projects will also find the concepts and techniques highlighted in the book informative for understanding modern computer-based approaches used to solve clinical problems.


Cancer Nanotheranostics

Cancer Nanotheranostics
Author: Muthupandian Saravanan
Publisher: Springer Nature
Total Pages: 379
Release: 2021-10-05
Genre: Medical
ISBN: 3030762637

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Cancer Nanotheranostics, Volume 2 continues the discussion of the important work being done in this field of cancer nanotechnology. The contents of these two volumes are explained in detail as follows. In the first volume of Cancer Nanotheranostics, we discuss the role of different nanomaterials for cancer therapy including lipid-based nanomaterials, protein and peptide-based nanomaterials, polymer-based nanomaterials, metal-organic nanomaterials, porphyrin-based nanomaterials, metal-based nanomaterials, silica-based nanomaterials, exosome-based nanomaterials, and nano-antibodies. This important second volume discusses nano-based diagnosis of cancer, nano-oncology for clinical applications, nano-immunotherapy, nano-based photothermal cancer therapy, nanoerythrosomes for cancer drug delivery, regulatory perspectives of nanomaterials, limitations of cancer nanotheranostics, safety of nanobiomaterials for cancer nanotheranostics, multifunctional nanomaterials for targeting cancer nanotheranostics, and the role of artificial intelligence in cancer nanotheranostics. Volume 2 is a vital continuation of this two-volume set. Together, these two volumes create a comprehensive and unique examination of this important area of research.


Nanopharmaceuticals: Principles and Applications Vol. 3

Nanopharmaceuticals: Principles and Applications Vol. 3
Author: Vinod Kumar Yata
Publisher: Springer Nature
Total Pages: 340
Release: 2020-08-19
Genre: Technology & Engineering
ISBN: 3030471209

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This book is the third volume on this subject and focuses on the recent advances of nanopharmaceuticals in cancer, dental, dermal and drug delivery applications and presents their safety, toxicity and therapeutic efficacy. The book also includes the transport phenomenon of nanomaterials and important pathways for drug delivery applications. It goes on to explain the toxicity of nanoparticles to different physiological systems and methods used to assess this for different organ systems using examples of in vivo systems.


Nanostructures for Antimicrobial Therapy

Nanostructures for Antimicrobial Therapy
Author: Anton Ficai
Publisher: Elsevier
Total Pages: 724
Release: 2017-05-29
Genre: Science
ISBN: 0323461514

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Nanostructures for Antimicrobial Therapy discusses the pros and cons of the use of nanostructured materials in the prevention and eradication of infections, highlighting the efficient microbicidal effect of nanoparticles against antibiotic-resistant pathogens and biofilms. Conventional antibiotics are becoming ineffective towards microorganisms due to their widespread and often inappropriate use. As a result, the development of antibiotic resistance in microorganisms is increasingly being reported. New approaches are needed to confront the rising issues related to infectious diseases. The merging of biomaterials, such as chitosan, carrageenan, gelatin, poly (lactic-co-glycolic acid) with nanotechnology provides a promising platform for antimicrobial therapy as it provides a controlled way to target cells and induce the desired response without the adverse effects common to many traditional treatments. Nanoparticles represent one of the most promising therapeutic treatments to the problem caused by infectious micro-organisms resistant to traditional therapies. This volume discusses this promise in detail, and also discusses what challenges the greater use of nanoparticles might pose to medical professionals. The unique physiochemical properties of nanoparticles, combined with their growth inhibitory capacity against microbes has led to the upsurge in the research on nanoparticles as antimicrobials. The importance of bactericidal nanobiomaterials study will likely increase as development of resistant strains of bacteria against most potent antibiotics continues. Shows how nanoantibiotics can be used to more effectively treat disease Discusses the advantages and issues of a variety of different nanoantibiotics, enabling medics to select which best meets their needs Provides a cogent summary of recent developments in this field, allowing readers to quickly familiarize themselves with this topic area


Nanotechnology for Cancer Therapy

Nanotechnology for Cancer Therapy
Author: Mansoor M. Amiji
Publisher: CRC Press
Total Pages: 808
Release: 2006-12-19
Genre: Medical
ISBN: 1000654680

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While simultaneous breakthroughs occurring in molecular biology and nanoscience/technology will ultimately revolutionize all of medicine, it is with our efforts to prevent, diagnose, and treat cancer that many of the most dramatic advances will occur. In support of this potential, the U.S. National Cancer Institute (NCI) established the Alliance fo


Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare
Author: Adam Bohr
Publisher: Academic Press
Total Pages: 385
Release: 2020-06-21
Genre: Computers
ISBN: 0128184396

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Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data


Cancer Nanotheranostics

Cancer Nanotheranostics
Author: Muthupandian Saravanan
Publisher: Springer Nature
Total Pages: 362
Release: 2021-10-05
Genre: Medical
ISBN: 3030743306

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Nanotechnology is an interdisciplinary research field that integrates chemistry, engineering, biology, and medicine. Nanomaterials offer tremendous opportunity as well as challenges for researchers. Of course, cancer is one of the world's most common health problems, responsible for many deaths. Exploring efficient anticancer drugs could revolutionize treatment options and help manage cancer mortality. Nanomedicine plays a significant role in developing alternative and more effective treatment strategies for cancer theranostics. This book mainly focuses on the emerging trends using nanomaterials and nanocomposites as alternative anticancer material’s. The book is divided into three main topic areas: how to overcome existing traditional approaches to combat cancer, applying multiple mechanisms to target the cancer cells, and how nanomaterials can be used as effective carriers. The contents highlight recent advances in interdisciplinary research on processing, morphology, structure, and properties of nanostructured materials and their applications to combat cancer.Cancer Nanotheranostics is comprehensive in that it discusses all aspects of cancer nanotechnology. Because of the vast amount of information, it was decided to split this material into two volumes. In the first volume of Cancer Nanotheranostics, we discuss the role of different nanomaterials for cancer therapy, including lipid-based nanomaterials, protein and peptide-based nanomaterials, polymer-based nanomaterials, metal-organic nanomaterials, porphyrin-based nanomaterials, metal-based nanomaterials, silica-based nanomaterials, exosome-based nanomaterials and nano-antibodies. In the second volume, we discuss the nano-based diagnosis of cancer, nano-oncology for clinical applications, nano-immunotherapy, nano-based photothermal cancer therapy, nano-erythrosomes for cancer drug delivery, regulatory perspectives of nanomaterials, limitations of cancer nanotheranostics, the safety of nano-biomaterials for cancer nanotheranostics, multifunctional nanomaterials for targeting cancer nanotheranostics, and the role of artificial intelligence in cancer nanotheranostics.


Computational Nanotoxicology

Computational Nanotoxicology
Author: Agnieszka Gajewicz
Publisher: CRC Press
Total Pages: 570
Release: 2019-11-13
Genre: Medical
ISBN: 1000680886

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The development of computational methods that support human health and environmental risk assessment of engineered nanomaterials (ENMs) has attracted great interest because the application of these methods enables us to fill existing experimental data gaps. However, considering the high degree of complexity and multifunctionality of ENMs, computational methods originally developed for regular chemicals cannot always be applied explicitly in nanotoxicology. This book discusses the current state of the art and future needs in the development of computational modeling techniques for nanotoxicology. It focuses on (i) computational chemistry (quantum mechanics, semi-empirical methods, density functional theory, molecular mechanics, molecular dynamics), (ii) nanochemoinformatic methods (quantitative structure–activity relationship modeling, grouping, read-across), and (iii) nanobioinformatic methods (genomics, transcriptomics, proteomics, metabolomics). It reviews methods of calculating molecular descriptors sufficient to characterize the structure of nanoparticles, specifies recent trends in the validation of computational methods, and discusses ways to cope with the uncertainty of predictions. In addition, it highlights the status quo and further challenges in the application of computational methods in regulation (e.g., REACH, OECD) and in industry for product development and optimization and the future directions for increasing acceptance of computational modeling for nanotoxicology.


Artificial Intelligence in Medical Imaging

Artificial Intelligence in Medical Imaging
Author: Erik R. Ranschaert
Publisher: Springer
Total Pages: 373
Release: 2019-01-29
Genre: Medical
ISBN: 3319948784

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This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.


Next Generation Sequencing

Next Generation Sequencing
Author: Jerzy Kulski
Publisher: BoD – Books on Demand
Total Pages: 466
Release: 2016-01-14
Genre: Medical
ISBN: 9535122401

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Next generation sequencing (NGS) has surpassed the traditional Sanger sequencing method to become the main choice for large-scale, genome-wide sequencing studies with ultra-high-throughput production and a huge reduction in costs. The NGS technologies have had enormous impact on the studies of structural and functional genomics in all the life sciences. In this book, Next Generation Sequencing Advances, Applications and Challenges, the sixteen chapters written by experts cover various aspects of NGS including genomics, transcriptomics and methylomics, the sequencing platforms, and the bioinformatics challenges in processing and analysing huge amounts of sequencing data. Following an overview of the evolution of NGS in the brave new world of omics, the book examines the advances and challenges of NGS applications in basic and applied research on microorganisms, agricultural plants and humans. This book is of value to all who are interested in DNA sequencing and bioinformatics across all fields of the life sciences.