تحسين النتائح
ترتيب حسب
من
الى
الصفحة 1
الصفحة 1
Big data analytics and machine intelligence in biomedical and health informatics : Concepts, methodologies, tools and applications
Provides coverage of developments and state-of-the-art methods in the broad and diversified data analytics field and applicable areas such as big data analytics, data mining, and machine intelligence in biomedical and health informatics. Covers the latest advances and developments in health informatics, data mining, machine learning, and artificial intelligence. They have been organized with respect to the similarity of topics addressed, ranging from issues pertaining to the Internet of Things (IoT) for biomedical engineering and health informatics, computational intelligence for medical data processing, and Internet of Medical Things??(IoMT).
AI in clinical practice : A guide to artificial intelligence and digital medicine
Explains how artificial intelligence is applied to medicine, illustrating not only its enormous potential but also ancillary issues and the limits and risks inherent in its use on a large scale. The book focuses on the intersection between medicine and AI and its implications on the impact of human health care delivery. Topics discussed include wearable devices, health data, Internet of Things, virtual reality, robotic assistance system, and digital intelligence in the health sector. Additionally, sections discuss diagnostics and decision-making systems and machine/deep learning in clinical setting.
Machine learning for neurodegenerative disorders : advancements and applications
Explores the application of machine learning to the understanding, early diagnosis, and management of neurodegenerative disorders. With a specific focus on its role in ongoing clinical trials, the book covers essential topics such as data collection, pre-processing, feature extraction, model development, and validation techniques. It delves into the applications of neuroimaging techniques like magnetic resonance imaging (MRI), computed tomography (CT), and positron emission tomography (PET) in the diagnosis and understanding of neurodegenerative disorders. Additionally, the book examines various machine-learning algorithms employed for biomarker discovery in neurodegenerative disorders. It highlights the role of neuroinformatics and big data analysis in advancing the understanding and management of neurodegenerative disorders. Furthermore, the book reviews future prospects and presents the ethical considerations and regulatory challenges associated with implementing machine learning approaches in the diagnosis, treatment, and prevention of neurodegenerative disorders.
Chromatin and Disease
It is more evident now than ever before that dynamic organization of human genome into nucleoprotein structure, chromatin confers the unique regulatory mechanisms for most of the cellular phenomena, which include replication, transcription, DNA repair, recombination and also apoptosis. The dynamic nature of the chromatin is regulated by chromatin modifications (epigenetic alterations), remodeling, histone chaperones and functional interactions of different chromatin interacting n- histone proteins. Dysfunction of this highly inter connected machineries disturb the cellular homoeostasis, and thereby causes several diseases. As we advance in our knowledge of chromatin function and also disease mechanisms in more details, their causal relationship is becoming more evident. This has lead to the identification of chromatin function as target for new generation therapeutics.
Cell Division Control in Plants
The molecular mechanisms controlling cell cycle progression are highly conserved in eukaryotes. In addition to the basic protein machinery involved in cell cycle regulation, higher plants have also evolved unique molecular mechanisms that allow integration of environmental, physiological, and developmental signals into networks to control proper cell division and expansion. Rapid and exciting research progress in these fields has been achieved from experimental observations on plants over the past decade. The scope of this volume is focused on the molecular basis of all aspects of cell division and cytokinesis in plants. It is an essential reference book for instructors and scientists working in the areas of molecular, cell, and developmental biology of plants. The editors of this book are veterans in the field of plant molecular biology and highly respected worldwide.
CADD and informatics in drug discovery
Updates knowledge on recent advances in computational and bioinformatics tools/techniques and their practical applications in modern drug design and discovery programme. Also it encompasses fundamental principles, advanced methodologies and applications of various CADD approaches including several cutting-edge areas / presenting recent developments covering ongoing trends in the field of computer-aided drug discovery. Having contributions by a global team of experts, the book is expected to be an ideal resource for drug discovery scientists, medicinal chemists, pharmacologists, toxicologists, phytochemists, biochemists, biologists, RandD personnel, researchers, students, teachers and those working in the field of drug discovery. It will fill the knowledge gaps that exist in the current CADD approaches and methodologies/ protocols being widely used in both academic and research practices. Further, a special focus on current status of various computational drug design approaches (SBDD, LBDD, De-novo drug design, Pharmacophore-based search), bioinformatics tools and databases, computational screening and modeling of phytochemicals/natural products, artificial intelligence and machine learning, and network pharmacology and system biology would certainly guide researchers, students or readers to conduct their research in the emerging area(s) of interest. It is also expected to be highly beneficial to different stakeholders working in the pharmaceutical and biotechnology industries (RandD), the academic as well as research sectors. .
Bionanotechnology : Proteins to Nanodevices
Bionanotechnology is the key integrative technology of the 21st century and aims to use the knowledge, gathered from the natural construction of cellular systems, for the advancement of science and engineering. Investigating the topology and communication processes of cell parts can lead to invention of novel biological devices with exciting applications. Though microscale to nanoscale research offers an excellent space for the development of futuristic technologies, a number of challenges must be overcome. Due to paucity of a dedicated literature on the protein based nanodevices we bring you this monograph that combines collective research works of scientists probing into this fascinating universe of bionanotechnology. The monograph has been written with an aim of surveying engineering design principles of biomolecular nanodevices, prototype nanodevices based on redox proteins, bacteriorhodopsins and natural fibers, and touching upon the future developments in the field.
Bioinformatics tools for pharmaceutical drug product development
Presents the latest information on bioinformatics tools, artificial intelligence, machine learning, computational methods, protein interactions, peptide-based drug design, and omics technologies. And include bioinformatics tools for the pharmaceutical sector and the healthcare sector. Bioinformatics brings a new era in research to accelerate drug target and vaccine design development, improving validation approaches as well as facilitating and identifying side effects and predicting drug resistance. As such, this will aid in more successful drug candidates from discovery to clinical trials to the market, and most importantly make it a more cost-effective process overall.
Bioenergetics : Energy conservation and conversion
The present book addresses fundamental questions of biological energy transformation and conservation, with a focus on those processes which can now be understood on a structural basis.Current knowledge of selected examples of the biological energy conservation machinery such as cellular oxygen respiration, light-driven energy converters, and fermentation is reviewed. The machinery is highly variable, particularly that within microorganisms, but all of these devices universally rely on one unique underlying physico-chemical principle. The book is a rich source for specialists interested in recent developments in bioenergetics research and novices in the field alike.
Axon growth and guidance
The complexarchitectureofneuronal networks togetherwith the extraordinary associated functions make the nervous system a fascinating biological structure. The considerable work performed to explore this cellular machinery is nowadays successfulbecause the mysteryofnervous system developmentisbeing unravelled. As described in their outstanding review published 10 years ago in Science.' Marc Tessier-Lavigne and Corey Goodman-the pioneers of the molecular era of axon guidance-summarized the assembly of nervous system connections as a subtle game of attraction and repulsion of neuronal growth cones. The cellular ballet ensuring the formation of billions of synapses, which ultimately gives rise to the highest cognitive functions, is primarily orchestrated by a step-by-step mechanism of growth driven by multiple molecular cues. While our general concept of axon guidance remains identical, a profound evolution ofour knowledge ofthe molecular identityofthe guidance cues together with their interactions and signalling pathways occurred over the past ten years.
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.
AI in disease detection : Advancements and applications
Discusses the integration of artificial intelligence to revolutionize disease detection approaches, with case studies of AI in disease detection as well as insight into the opportunities and challenges of AI in healthcare as a whole. The book explores a wide range of individual AI components such as computer vision, natural language processing, and machine learning as well as the development and implementation of AI systems for efficient practices in data collection, model training, and clinical validation.
Agrobacterium : From Biology to Biotechnology
Agrobacterium’ is a comprehensive book on Agrobacterium research, including its history, application, basic biology discoveries, and effects on human society. Although the book largely focuses on providing a detailed review of virtually all molecular events of the genetic transformation process, it also provides coverage of ethical and legal issues relevant to the use of Agrobacterium as a "genetic transformation machine". The result is an all-inclusive text which readers—including scientists and students involved in plant genetic engineering—will find useful as a reference source for all major aspects of the Agrobacterium-mediated genetic transformation of plant and non-plant organisms.
Advances in cognitive neurodynamics ICCN 2007; Proceedings of the International conference on cognitive neurodynamics - 2007
Contains the Proceedings of the 1st International Conference on Cognitive Neurodynamics held in Shanghai, November 17-21, 2007. The participants were treated to an exciting and stimulating conference that left everyone with an enthusiastic vision for the future of the field. The latest important progress was covered by 13 mini-symposia including: Models of Mental Disorders; Cognitive Machines; Dynamics in learning and memory; Central nervous system synchronization; Neuroinformatics; Cognitive Computational Modeling of Human Language Processing; Cognitive Neurodynamics of Attention; Bottom-Up and Top-Down; Brain Networks; From Anatomy to Dynamics; Translational Cognitive Neuroimaging; K-sets; Theory and Applications; Advanced Signal Processing Techniques for Brain Data Analysis; Visual cortex: information processing and dynamics; Dynamics of Firing Patterns and Synchronization in Neuronal Systems.
Linked Democracy : Foundations, Tools, and Applications
This book shows the factors linking information flow, social intelligence, rights management and modelling with epistemic democracy, offering licensed linked data along with information about the rights involved. This model of democracy for the web of data brings new challenges for the social organisation of knowledge, collective innovation, and the coordination of actions. Licensed linked data, licensed linguistic linked data, right expression languages, semantic web regulatory models, electronic institutions, artificial socio-cognitive systems are examples of regulatory and institutional design (regulations by design). The web has been massively populated with both data and services, and semantically structured data, the linked data cloud, facilitates and fosters human-machine interaction. Linked data aims to create ecosystems to make it possible to browse, discover, exploit and reuse data sets for applications. Rights Expression Languages semi-automatically regulate the use and reuse of content.
Leveraging Data Science for Global Health
Explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources.
Machine-learning-assisted intelligent processing and optimization of complex systems
Focuses on the most recent developments in intelligent optimization methods and their applications in various test cases. The reprint covers various topics, including distributed multiagent modeling, metaheuristic algorithms, multisource data fusion, mobile computing and mobile sensing, machine learning-based intelligent processing for modeling complex manufacturing systems, and data-driven intelligent modeling
Machine Learning Techniques and Analytics for Cloud Security
covers new methods, surveys, case studies, and policy with almost all machine learning techniques and analytics for cloud security solutions
Machine Learning Refined : Foundations, Algorithms, and Applications
Provides students with the fundamental knowledge and practical tools needed to conduct research and build data-driven products. The authors prioritize geometric intuition and algorithmic thinking, and include detail on all the essential mathematical prerequisites, to offer a fresh and accessible way to learn. Practical applications are emphasized, with examples from disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology.
Machine learning methods for reverse engineering of defective structured surfaces
Pascal Laube presents machine learning approaches for three key problems of reverse engineering of defective structured surfaces: parametrization of curves and surfaces, geometric primitive classification and inpainting of high-resolution textures. The proposed methods aim to improve the reconstruction quality while further automating the process. The contributions demonstrate that machine learning can be a viable part of the CAD reverse engineering pipeline.
