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Magnetic Resonance Tomography
Provides a comprehensive overview of both the physics and the clinical applications of MRI, including practical guidelines for imaging. The authors define the importance of MRI in the diagnosis of several disease groups in comparison or combination with other methods.
Katzung's basic and clinical pharmacology
The most comprehensive and authoritative pharmacology text --updated with new content and USMLE-style questions Presented in full-color and packed with hundreds of illustrations, Basic and Clinical Pharmacology is the wide-ranging, engaging guide students have counted on for decades. To be as clinically relevant as possible, the book includes sections that specifically address the clinical choice and use of drugs in patients and the monitoring of their effects, along with case studies that introduce clinical problems. Each chapter opens with a case study, covers drug groups and prototypes, and closes with summary tables and diagrams that encapsulate important information. Updated to reflect the latest research, this sixteenth edition features a new chapter on cannabinoids, USMLE-style questions, new drug tables, and more. Basic and Clinical Pharmacology, Sixteenth Edition features: * 330 full-color illustrations * NEW: 100 drug tables * NEW: 50 USMLE-style questions * NEW: Chapter on cannabinoids * A strong emphasis on drug groups and prototypes * Case studies and chapter-ending summary tables * Organization that reflects the syllabi of pharmacology courses * Descriptions of important new drugs
Katzung & Trevor's pharmacology : Examination & board review
Excellent Q & A and rationales for course exams and USMLE Step 1. With 1,000+ board-style questions/answers and fully up-to-date content, this is the most popular review in pharmacology. Organized to reflect the syllabi in pharmacology courses, Katzung & Trevor's Pharmacology Exam and Board Review covers all current drugs and retrovirals, immunologic agents, and chemotherapies. Each chapter begins with 20 pages of informative text, followed by questions and answers, and includes concise discussions of the concepts underlying basic principles or specific drug groups. Edited by the world leading figures in pharmacology and medicine, this high-yield text focuses on basic principles, autonomic drugs, cardiovascular-renal drugs, and drugs with actions on smooth muscle, central nervous system drugs, and drugs used to treat chemotherapeutic drugs, and toxicology.
Clinical MR Imaging : A Practical Approach
This book offers practical guidelines for performing efficient and cost-effective MRI examinations in daily practice. The underlying idea is that, by adopting a practical protocol-based approach, the work-flow in a MRI unit can be streamlined and optimized.
Classics in total synthesis IV : new targets, strategies, and methods
A compilation of highly important synthetic methods which lead to complex molecules with valuable properties. From the complex architectures of natural products to the streamlined synthesis of functional molecules, each chapter in Classics in Total Synthesis IV unfolds a unique story. The interplay of mechanisms, reactivity, selectivity, and stereochemical aspects is thoroughly examined, echoing the pedagogical format that has become synonymous with this series. Well-designed graphics are included throughout, and all important parts of the reaction sequences are highlighted.
Biotechnologies for plant mutation breeding : Protocols
This book offers 19 detailed protocols on the use of induced mutations in crop breeding and functional genomics studies, which cover topics including chemical and physical mutagenesis, phenotypic screening methods, traditional TILLING and TILLING by sequencing, doubled haploidy, targeted genome editing, and low-cost methods for the molecular characterization of mutant plants that are suitable for laboratories in developing countries. The collection of protocols equips users with the techniques they need in order to start a program on mutation breeding or functional genomics using both forward and reverse-genetic approaches. Methods are provided for seed and vegetatively propagated crops (e.g. banana, barley, cassava, jatropha, rice) and can be adapted for use in other species.
Autoformation et aide au diagnostic en hématologie avec le logiciel ADH = Self-study and diagnostic aid in hematology with ADH software
The software includes a rich iconography on blood and marrow cells which will complement the knowledge in cytology of hematologists. Certain cytological abnormalities encountered in certain pathologies are also presented.
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.
Antimicrobial peptides and human disease
Microbes are in our midst soon after birth. Thankfully, the number of harmless (and often beneficial) microbes far outnumber those that would do us harm. Our ability to ward-off pathogens in our environment, including those that can colonize our exterior and/or interior surfaces, depends on the integrative action of the innate and adaptive immunity systems. This volume of CTMI, entitled Antimicrobial Peptides and Human Disease, is dedicated to the role of antimicrobial peptides (AMPs) in the innate host defense system of homo sapiens.
Anestetici locali in analgesia ostetrica : Il modello MLAC : dalla teoria alla pratica clinica = Local anesthetics in obstetric analgesia : The MLAC model : from theory to clinical practice
This monograph contains a detailed description of the MLAC method and its applications and an extensive and updated review of the most significant studies on the subject and their clinical implications. Studies that use the up-down sequential allocation method have made a significant contribution to clarifying numerous questions that the anesthetist asks himself every day in the delivery room and today rightly flank traditional studies representing, together with them, the primary source of updating and knowledge that are indispensable for good clinical practice based not only on experience but also on evidence and scientific rationale.
Analysis of Waiting-Time Data in Health Services Research
Analysis of Waiting-Time Data in Health Services Research asks critical questions linking waiting times to health care outcomes. Generously illustrated with charts and tables, the book places this type of data collection, analysis, and reporting firmly in the context of health services research, the study of outcomes of health care delivery to a population.
Acute Myelogenous Leukemia
The focus is on selected critical molecular determinants of AML pathogenesis and pathophysiology and the exploitation of these factors by diverse therapeutic agents and modalities. Bringing together new concepts and findings in the basic and clinical science of AML, the book emphasizes the molecular basis for new therapies that stand to have the greatest potential impact on the clinical face of these diseases. The text provides insights into selected novel strategies currently and prospectively being developed, including interruption of specific signal transduction pathways, modulation of gene expression, attempts to reinstate differentiation, and immunomodulation.
Artificial intelligence in the financial services industry
Today, the financial services sector is facing a period of rapid disruption and innovation, and artificial intelligence (AI) is at the heart of these changes. Artificial intelligence can be used to gather enormous amounts of data, detect abnormalities, and solve complex problems. Financial institutions are already experimenting extensively with AI strategies to enhance and streamline financial institutions, BSA and AML compliance, CRA requirements, fraud detection, and real estate valuations, all while reducing cost levels. This book looks at how artificial intelligence is affecting the financial services industry.
Mathematical Approaches to Software Quality
This book considers the potential and limitations of the various mathematical approaches and thereby aims to give a balanced view of the usability of each mathematical approach. Written with both student and professional in mind, this book assists the reader in applying mathematical methods to solve practical problems that are relevant to software engineers. It is suitable for coursework or self-study and there is helpful material on tools to support the various mathematical approaches.
Machine learning in healthcare : Fundamentals and recent applications
Discusses how to build various ML algorithms and how they can be applied to improve healthcare systems. Healthcare applications of AI are innumerable: medical data analysis, early detection and diagnosis of disease, providing objective-based evidence to reduce human errors, curtailing inter- and intra-observer errors, risk identification and interventions for healthcare management, real-time health monitoring, assisting clinicians and patients for selecting appropriate medications, and evaluating drug responses. Extensive demonstrations and discussion on the various principles of machine learning and its application in healthcare is provided, along with solved examples and exercises.
Machine learning for cyber-physical systems: selected papers from the international conference ML4CPS 2023
Contains selected papers from the international conference ML4CPS – Machine Learning for Cyber-Physical Systems, which was held in Hamburg (Germany), from 29 to 31 March 2023. Cyber-physical systems are adaptive and learning: they analyze their environment and, based on observations, learn patterns, associations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnostics. Machine learning is the key technology for these developments.
Machine Learning for Cyber Physical Systems : Selected papers from the International Conference ML4CPS 2020
Presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains selected papers from the fifth international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Berlin, March 12-13, 2020.
Machine learning for brain disorders
Organized into five parts. Part One presents the fundamentals of ML. Part Two looks at the main types of data used to characterize brain disorders, including clinical assessments, neuroimaging, electro- and magnetoencephalography, genetics and omics data, electronic health records, mobile devices, connected objects and sensors. Part Three covers the core methodologies of ML in brain disorders and the latest techniques used to study them. Part Four is dedicated to validation and datasets, and Part Five discusses applications of ML to various neurological and psychiatric disorders.
Machine learning and its application to reacting flows: ml and combustion
These two fields, ML and turbulent combustion, have large body of work and knowledge on their own, and this book brings them together and explain the complexities and challenges involved in applying ML techniques to simulate and study reacting flows. This is important as to the world’s total primary energy supply (TPES), since more than 90% of this supply is through combustion technologies and the non-negligible effects of combustion on environment. Although alternative technologies based on renewable energies are coming up, their shares for the TPES is are less than 5% currently and one needs a complete paradigm shift to replace combustion sources. The book covers the current state of the art in these two topics and outlines the challenges involved, merits and drawbacks of using ML for turbulent combustion simulations including avenues which can be explored to overcome the challenges.
Machine learning and deep learning in medical data analytics and healthcare applications
Introduces and explores a variety of schemes designed to empower, enhance, and represent multi-institutional and multi-disciplinary machine learning (ML) and deep learning (DL) research in healthcare paradigms. Serving as a unique compendium of existing and emerging ML/DL paradigms for the healthcare sector, this book demonstrates the depth, breadth, complexity, and diversity of this multi-disciplinary area. It provides a comprehensive overview of ML/DL algorithms and explores the related use cases in enterprises such as computer-aided medical diagnostics, drug discovery and development, medical imaging, automation, robotic surgery, electronic smart records creation, outbreak prediction, medical image analysis, and radiation treatments.
