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Leptin
The discovery of leptin little more than a decade ago, as a hormone produced in white adipose tissue with an important role in satiety and energy expenditure, was a seminal event in our understanding of adiposity. This initial advance in the new endocrinology of obesity was soon followed by the realization that leptin was not only produced in adipose tissue, but in many different tissues of the body, and that receptors were similarly distributed. Additionally, the early recognition of infertility that was associated with leptin deficiency prompted research that identified roles for the polypeptide in virtually every area of reproductive biology.
La phytocosmétologie thérapeutique = Herapeutic phytocosmetology
Deals with restorative cosmetology. This is understood through the eyes of the doctor specializing in phytotherapy. Three main aspects are discussed: the diagnosis of disturbance of the skin and integuments, external treatment with natural substances, as well as oral treatment (internal treatment). Oral cosmetology has no official recognition, yet the effects of plant extracts on the condition of the skin and integuments are well known. After an introduction to the physiology of the skin, the dosage and the phenomena of skin deterioration, the author discusses different types of treatment depending on the extracts used while explaining their mode of action. This work was written by a doctor, Doctor Paul Goetz, teacher in clinical phytotherapy, and a pharmacist, Doctor Christian Busser, pharmaceutical and scientific advisor, doctor in ethnology and ethnopharmacologist.
La genetica nell’infertilità maschile = Genetics in male infertility
The notable recent cognitive advances in the field of cytogenetics and molecular genetics have made it possible to identify chromosomal anomalies and gene mutations responsible for numerous male infertility, which were completely ignored until recently. The fact is not without relevance, if the principle is valid that the recognition of the causes of a disease is also the first and necessary approach towards its correct therapy. With this publication, the authors wanted to offer specialists working in the field of assisted reproduction an update on this complex subject, dealing with both genetic causes in male infertility and infertility in genetic diseases.
L’insuffisance rénale aiguë = Acute renal failure
The aim of this book is to make current data from the experimental and clinical literature accessible to readers. More than a thousand articles are published each year on the theme and the authors aim to synthesize this information. These data relate in particular to the identification of early markers of renal dysfunction without which screening, recognition of the main pathophysiological determinants and prevention remain uncertain. This book focuses attention on clinical situations characterized by the renal impact of the main dysfunctions of vital functions, the prognosis of which is worsened by the occurrence of this renal failure. The following will be treated in particular: the renal consequences of oxidative stress, the renal consequences of respiratory dysfunction, cardiac dysfunction, hepatic dysfunction, alterations in hemostasis, septic shock and hemorrhagic shock. Finally, the physiopathological data from experimental models are gradually finding their echo in the clinical field, opening up therapeutic avenues whose recent evaluations will be analyzed.
Chemical Signals in Vertebrates 11
Presents the proceedings of "Chemical Signals in Vertebrates 11", hosted by the University of Liverpool and held July 25 - 28, 2006 at the University of Chester in the United Kingdom. Chemical Signals in Vertebrates 11 contains the latest research on chemical communication relevant to vertebrates, particularly focusing on new research since the last meeting in 2003. Topics covered include chemical ecology, biochemistry, behavior and neurobiology of both the main olfactory and vomeronasal systems of vertebrates, from amphibia to mammals including humans. A broad range of taxonomic groups and topics are discussed, including sections on new directions in semiochemistry, olfactory response and function, recognition within species, sexual communication, maternal-offspring communication, communication between species, and applications for zoo animal enrichment and pest control. The volume is dedicated to the memory of Dr. Bets Rasmussen and includes a special tribute chapter on her ground-breaking research on elephant communication.
Cell Motility in Cancer Invasion and Metastasis
Cancer Morbidity and mortality result from invasive and metastatic spread. Currently, no therapies are aimed at the underlying mechanisms that enable this progression due to only nascent recognition of the distinct biology which occurs only during tumor dissemination. Recent advances have highlighted the central role of cell motility during the dynamic and transient process of tumor invasion and metastasis. This book includes state-of-the-art updates by international leaders in these studies. Chapters first present the novel model systems that enable new investigations and insights. Chapters then describe in depth the key processes and molecules that may be therapeutically targeted. Finally, the role of cell motility and its signals is explored in a number of key tumor types. This compilation should be useful to researchers in basic and translational oncology as well as those developing novel agents to prevent tumor invasion and metastasis.
Cancerimmunotherapies : Solid tumors and hematologic malignancies
Presents the clinical scope of cancer immunotherapeutic agents for solid tumors and Hematologic malignancies, elaborates on the scientific details of their modes of action, and presents the impact of these agents on oncology, patients and the broader healthcare system. At present, cancer immunotherapies fall broadly into three categories: immune checkpoint inhibitors (ICIs), adoptive T cell therapies, and cancer vaccines which have distinct mechanisms of action. Immune checkpoint inhibitors rely upon disrupting tumor antigen recognition as self by the immune system through inhibition of checkpoint molecules. Adoptive T cell therapies involve the engineering of T cells ex vivo to target and destroy tumor cells. The first part of this book will provide an overview of the discovery and mechanistic details of the technology. The second part will be devoted to elaborating on the clinical outcomes, successes and limitations for specific tumor subtypes, which includes both solid tumors and hematologic malignances for both pediatric and adult populations.
Brain and Heart Dynamics
Despite the increasing awareness that neural mechanisms are the primary cause of cardiac disease and its progression, therapy continues to focus on end-organ protection and does not approach the neural core of the problem. Growing public health problems such as heart failure are still treated with autonomic drugs that are 30-40 years old and simply act on cardiac receptors. However, it has now been shown that the progression of ischemic heart disease to heart failure is mainly due to abnormal central responses to incipient cardiac disease, with neural activation the primary cause rather than the consequence of cardiac remodeling.
Biomarkers as targeted herbal drug discovery : A pharmacological approach to nanomedicines
Looks at the applications of biomarkers as important tools for herbal drug discovery, presenting research on phytoconstituents with advanced nanotechnological applications for healthcare benefits. Herbal drug discovery based on biomarkers is an emerging area in complementary and alternative medicine that has tremendous potential in healthcare. Conventional medications have limited efficacy and high toxicity, whereas herbal drugs are said to provide wide structural diversity that is not usually seen with conventional/synthetic drug molecules. Recognition of various herbal constituents, such as terpenoids, fatty acids, flavonoids and steroids, are well explored in the management and treatment of various disorders in this volume. These agents target various biomarkers such as nitric oxide (NO), cytokines, chemokines, adhesion molecules, NF- kβ, lipoxygenase (LOX), and arachidonic acid. Reviews the literature on inflammatory biomarkers in the treatment of diseases Looks at the development of herbal drug discovery based on biomarkers Explores emerging concepts of nanomedicines for herbal drug delivery Takes an interdisciplinary approach, with application to disciplines related to medical, pharmaceutical, biotechnological, Ayurvedic, Unani and biomedical engineering fields
Bioinformatics of genome regulation and structure II
The conference was organized by the Laboratory of Theoretical Genetics, Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia. The material covers the most recent topics in bioinformatics, including (i) regulatory genomic sequences: databases, knowledge bases, computer analysis, modeling, and recognition; (ii) large-scale genome analysis and functional annotation; (iii) gene structure detection and prediction; (iv) comparative and evolutionary genomics; (v) computer analysis of genome polymorphism and evolution; computer analysis and modeling of transcription, splicing, and translation; structural computational biology: structure- function organization of genomic DNA, RNA, and proteins; (vi) gene networks, signal transduction pathways, and genetically controlled metabolic pathways: databases, knowledge bases, computer analysis, and modeling; principles of organization, operation, and evolution; (vii) data warehousing, knowledge discovery and data mining; and (viii) analysis of basic patterns of genome operation, organization, and evolution.
Analytical scientists in pharmaceutical product development : Task management and practical knowledge
Explains task management concepts and outlines practical knowledge to help pharmaceutical analytical scientists become productive and enhance their career. •Presents broad topics such as product development process, regulatory requirement, task and project management, innovation mindset, molecular recognition, separation science, degradation chemistry, and statistics. •Provokes thinking through figures, tables, and case studies to help understand how the various functions integrate and how analytical development can work efficiently and effectively by applying science and creativity in their work. •Discusses how to efficiently develop a fit-for-purpose HPLC method without screening dozens of columns, gradients, or mobile phase combinations each time, since the extra effort may not provide enough of a benefit to justify the cost and time in a fast-paced product development environment.
Abnormal Skeletal Phenotypes : From Simple Signs to Complex Diagnoses
This book focuses on the radiographic changes of malformation syndromes and skeletal dysplasias. It is structured such that the reader can identify the radiographic changes and relate them to specific disease entities. The aim is to provide an essential, practical guideline to the recognition of the key radiographic signs for diagnosing malformation syndromes and skeletal dysplasias.
Mathematical Linguistics
Mathematical Linguistics introduces the mathematical foundations of linguistics to computer scientists, engineers, and mathematicians interested in natural language processing. The book presents linguistics as a cumulative body of knowledge from the ground up, with no prior knowledge of linguistics being assumed, covering more than the average two-semester introductory course in linguistics.This comprehensive, reader-friendly volume offers readers a high-level orientation, discussing the foundations of the field and presenting both the classical work and the most recent results. It covers an extremely rich array of topics including not only syntax and semantics but also phonology and morphology, probabilistic approaches, complexity, learnability, and the analysis of speech and handwriting.
Markov Models for Pattern Recognition : From Theory to Applications
Describes the underlying theoretical concepts - covering Hidden Markov models and Markov chain models - and presents the techniques and algorithmic solutions essential to creating real world applications. The actual use of Markov models in their three main application areas - namely speech recognition, handwriting recognition, and biological sequence analysis - is presented with examples of successful systems.
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 in Computer Vision
The goal of this book is to address the use of several important machine learning techniques into computer vision applications. An innovative combination of computer vision and machine learning techniques has the promise of advancing the field of computer vision, which contributes to better understanding of complex real-world applications. The effective usage of machine learning technology in real-world computer vision problems requires understanding the domain of application, abstraction of a learning problem from a given computer vision task, and the selection of appropriate representations for the learnable (input) and learned (internal) entities of the system. In this book, we address all these important aspects from a new perspective: that the key element in the current computer revolution is the use of machine learning to capture the variations in visual appearance, rather than having the designer of the model accomplish this. As a bonus, models learned from large datasets are likely to be more robust and more realistic than the brittle all-design models.
Machine learning for biomedical application
Biomedicine is a multidisciplinary branch of medical science that consists of many scientific disciplines, e.g., biology, biotechnology, bioinformatics, and genetics; moreover, it covers various medical specialties. In recent years, this field of science has developed rapidly. This means that a large amount of data has been generated, due to (among other reasons) the processing, analysis, and recognition of a wide range of biomedical signals and images obtained through increasingly advanced medical imaging devices. The analysis of these data requires the use of advanced IT methods, which include those related to the use of artificial intelligence, and in particular machine learning. It is a summary of the Special Issue “Machine Learning for Biomedical Application”, briefly outlining selected applications of machine learning in the processing, analysis, and recognition of biomedical data, mostly regarding biosignals and medical images.
Machine Learning for Audio, Image and Video Analysis : Theory and Applications
The book is organized in four parts: The first focuses on technical aspects, basic mathematical notions and elementary machine learning techniques. The second provides an extensive survey of most relevant machine learning techniques for media processing, while the third part focuses on applications and shows how techniques are applied in actual problems. The fourth part contains detailed appendices that provide notions about the main mathematical instruments used throughout the text
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.
Machine learning and big data : Concepts, algorithms, tools and applications
Showcase novel use-cases and applications, present empirical research results from user-centered qualitative and quantitative experiments of these new applications, and facilitate a discussion forum to explore the latest trends in big data and machine learning by providing algorithms which can be trained to perform interdisciplinary techniques such as statistics, linear algebra, and optimization and also create automated systems that can sift through large volumes of data at high speed to make predictions or decisions without human intervention
