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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.
Manuale di accreditamento delle strutture diabetologiche = Accreditation manual of diabetic facilities
Healthcare quality is not a new issue, but it is often underestimated. The doctor focuses on his relationship with the patient, and is led to believe that technique and technology are sufficient to guarantee effective and efficient performance, regardless of the organizational system. Quality understood as "Total Quality Management" is a way to cross a border, to create knowledge, to break the armor of self-referentiality and that individualistic vision of work learned during university studies and consolidated by professional practice. The path of professional peer accreditation is the tool that the scientific society Associazione Medici Diabetologi has developed and provided to diabetologists to facilitate the understanding of ways of looking at the world of healthcare that are different from those they usually use.
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.
Java for Bioinformatics and Biomedical Applications
Illustrates how individual bioinformatics applications (such as BLAST and Genscan) can be stitched together into a pipeline so that users can direct the output of one tool (for example, gene predictions using Genscan) to perform further analysis (say, homology searching using BLAST).
Computational biology in drug discovery and repurposing
Takes an in-depth look at the emerging and prospective field of computational biology and bioinformatics, which possesses the ability to analyze large accumulated biological data collected from sequence analysis of proteins and genes and cell population with an aim to make new predictions pertaining to drug discovery and new biology. The book explains the basic methodology associated with a bioinformatics and computational approach in drug designing. It then goes on to cover the implementation of computational programming, bioinformatics, pharmacophore modeling, biotechnological techniques, and pharmaceutical chemistry in designing drugs. The major advantage of intervention of computer language or programming is to cut down the number of steps and costs in the field of drug designing, reducing the repeating steps and saving time in screening the potent component for drug or vaccine designin
Comparative genomics ; Vol.15 : Using Fungi as Models
Fungal comparative genomics started in 2000 by the genome sequencing of several yeast species other than the canonical Saccharomyces cerevisiae. Since then, over 30 fungal genome sequences have become available. This set represents a total evolutionary divergence comparable to that between vertebrates and arthropods, but also contains closely related genomes. This volume describes how we can use this set of genomes to trace large and small-scale events in genome evolution, to extract information about highly conserved and less conserved sequence elements, and to develop novel methods in genomics that will have an impact on genomics at large.
Comparative genomics : Methods and protocols
Provides new and updated chapters covering computational and mathematical techniques and concepts related to the field of comparative genomics. The topics covered in the chapters range from those that address general techniques and concepts that apply to all organisms to others that are specialized and apply to specific biological systems such as viruses, bacteria, nematodes, and insects.
Clinical metabolomics applications in genetic diseases
Helps readers discover the forefront of personalized medicine on clinical metabolomics and its applications in genetic diseases. This comprehensive guide offers a functional relationship map between cell components and genetic variations in various diseases, providing insights that can be applied to personalized medicine. Covers the latest developments in metabolomics for health, with practical guidance for clinical experts looking to advance their laboratory techniques and career. The metabolomics profile is a powerful tool that has revolutionized our understanding of the relationship between genetics, clinical readouts, and disease outcomes. By integrating metabolomics with genomics and clinical phenotypes, the authors have developed diagnostic and prediction models that have vastly improved patient outcomes and deepened the understanding of disease mechanisms.
Clinical decision support systems : Theory and practice
Writes the editor, "If used properly, CDSS have the potential to change the way medicine has been taught and practiced." As clinical decision support systems (CDSS) gain an increasingly central role in the delivery of high quality health care, it becomes more important for the health care community to understand their use. This text is designed as a resource for practicing clinicians, informaticians, teachers and students alike, and provides the most current, comprehensive look a the development and evaluation of clinical decision support systems.
Circular RNAs
Guide readers through circular RNA purification, in silico characterization, circRNA detection, sequence validation, quantification , techniques related to gain- and loss-of-function approaches, circular RNA synthesis, split ligation, engineering, nanoparticle packaging, RNA modifications on circular RNA biogenesis, RNA translation potential, and vaccines based on circular RNAs.
Chemometrics and Cheminformatics in Aquatic Toxicology
Chemometrics and Cheminformatics in Aquatic Toxicology delivers an exploration of the existing and emerging problems of contamination of the aquatic environment through various metal and organic pollutants, including industrial chemicals, pharmaceuticals, cosmetics, biocides, nanomaterials, pesticides, surfactants, dyes, and more. The book discusses different chemometric and cheminformatic tools for non-experts and their application to the analysis and modeling of toxicity data of chemicals to various aquatic organisms.
Chemoinformatics and Bioinformatics in the Pharmaceutical Sciences
Chemoinformatics and Bioinformatics in the Pharmaceutical Sciences brings together two very important fields in pharmaceutical sciences that have been mostly seen as diverging from each other: chemoinformatics and bioinformatics. As developing drugs is an expensive and lengthy process, technology can improve the cost, efficiency and speed at which new drugs can be discovered and tested. This book presents some of the growing advancements of technology in the field of drug development and how the computational approaches explained here can reduce the financial and experimental burden of the drug discovery process.
Cereal genomics
Through these basic studies, it also became fairly apparent that the genomes of all cereals are related and were derived from the same lineage, million of years ago.
Cancer Proteomics : From Bench to Bedside
the authors collectively provide the current status of proteomics in cancer therapy and offers the existing technologies used in proteomics that allow for protein profiling and for the identification of druggable targets in human samples. Mass spectrometry based protein characterization and protein microarrays hold great promise of predicting response to specific drugs in cancer therapy. Insightful to the reader with broad perspectives on topics related to the use of proteomic strategies in cancer therapy, Cancer Proteomics offers anticipated challenges that may arise from its application in daily practice.
Cancer Informatics in the Post Genomic Era : Toward Information-Based Medicine
Medical information science requires analytic tools. This is achieved by developing and assessing methods and systems for the acquisition, processing, and interpretation of patient data, aided by scientific discovery. Cancer Informatics in Post-Genomic Era provides both the necessary methodology and practical information tools.Key challenges include integrating research and clinical care, sharing data, and establishing partnerships within and across sectors of patient diagnosis and treatment.Addressing important clinical questions in cancer research will benefit from expanding computational biology.
Cancer drug safety and public health policy : A changing landscape
Description and analysis of recent developments and current trends in health policy with regard to cancer drug safety. Opens with an overview of pharmacovigilance for cancer blockbuster drugs, covering both general considerations and efforts to develop a structured framework for the identification and reporting of adverse drug reactions (ADRs). A number of important examples of serious ADRs to hematology and oncology drugs are then reviewed, with evaluation of the lessons learned and the policy implications of the ensuing legal cases and their settlements. Further, the difficulty of reporting such blockbuster side effects in the medical literature is explored in an empirical study. Significant advances have been achieved in analytic methods for the identification of ADRs, and here there is a particular focus on the value of optimal discriminant analysis. Finally, the impacts on pharmacovigilance and drug safety of the huge fines paid under the U.S. False Claims Act relating to the defrauding of governmental programs also receive careful attention – these fines are playing an important role in changing the landscape for pharmaceutical safety.
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. .
Biopharmaceutical drug design and development
Biopharmaceutical Drug Design and Development, Second Edition, updates the widely successful first edition, published in 1999. This new, expanded edition investigates the dozens of new biopharmaceutical drugs that have become available since the publication of the first edition. Among the drugs discussed are ones in the categories of monoclonal antibodies for in-vivo use, cytokines, growth factors, enzymes, immunomodulators, thrombolytics, and immonotherapies including vaccines. Additionally, the volume examines new and emerging technologies, such as bioinformatics, DNA microarrays, transgenics, therapeutic gene delivery, stem cells, nucleic acid-based therapeutics, and macromolecular drug delivery. Authors also study pharmacogenetics in the clinic and changes in biologic drug approval at the FDA. Biopharmaceutical Drug Design and Development, Second Edition, is a worthy sequel in the discussion on the dynamic, exciting field of biotechnology.
Biomolecular and bioanalytical techniques : Theory, methodology and applications
Offers an introduction to, and a basic understanding of, a wide range of biophysical techniques. The text takes an interdisciplinary approach with contributions from a panel of distinguished experts. With a focus on research, the text comprehensively covers a broad selection of topics drawn from contemporary research in the fields of chemistry and biology. Each of the internationally reputed authors has contributed a single chapter on a specific technique. The chapters cover the specific technique’s background, theory, principles, technique, methodology, protocol and applications.
