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Mente e Cuore : Clinica psicologica della malattia cardiaca = Mind and heart : Psychological Clinic of Heart Disease
Recent data has shown that there is a relationship between psychological conditions and heart disease. Furthermore, psychological interventions on patients with coronary heart disease (CHD) can reduce heart risk and improve their quality of life. This volume, which is the result of collaboration with the most committed international researchers in the field of clinical psychology and health applied to heart disease, presents an updated and complete overview of scientific research in this area. The first part of the volume presents the psychological pictures and relational aspects associated with heart disease with a particular focus on personality traits. The second part illustrates the psychological interventions in cardiac rehabilitation that research has shown to be effective in reducing cardiac risk. This text can be a useful reference to the practice of doctors, psychologists and health professionals who want to understand and deepen the link between heart disease and psychological aspects.
Mediterranean Land-surface Processes Assessed from Space
1. 1 Space View and Ground Observations 1 1. 2 Mediterranean Climatic Environment 2 1. 3 Processes at Surfaces 10 1. 3. 1 Deforestation and Land-use Changes 10 1. 3. 2 Water Related Problems 16 1. 3. 3 Fire, Grazing, and Land Degradation 19 1. 3. 4 Drought, Floods, Frost, and Desertification 21 1. 3. 5 Coupling Between Surface and Atmosphere: The Role of the Atmospheric Boundary Layer 25 1. 4 Role and Capabilities of Measurements Made From Space 30 1. 4. 1 Research Programmes 30 1. 4. 2 Expected Information 32 1. 4. 3 Research Strategy 33 1. 4. 4 Observation of Changes in Heterogeneous Landscapes: Spatial and Temporal Scales 35 1. 4. 5 Land-surface Change Indicators Observable from Space 36 Spectral Characteristics of Vegetation and Soils (36); Responses of Remote Sensing Signals to Changes of Land-surface Properties (40) 1. 5 About this Book 48 Chapter 2 Processing and Archiving of Satellite and Ancillary Data 51 2. 1 Introduction 51 2. 2 The Remote Sensing Data Base 55 2. 2. 1 Satellite Instruments 55 The NOAA Observing System (55); Meteosat (57); Nimbus-7 (59); Landsat (59); SPOT (61); DMSP (62); ERS-1 and ERS-2 (62); TRMM (63); Terra (64); Envisat (65); Aqua (66) 2. 2. 2 Aircraft Instruments 66 The Use of Aircraft for Land-surface Process Studies (66); AVIRIS (67); TMS (68); AIRSAR (68); DIAL (69) 2. 3 Reception, Acquisition and Availability of Satellite Data 70 2. 3.
Mediclica
The main objective of the project here is to show the ability to book online in Syria. And show the interdependence between the patient and follow-up in the correct manner... by entering the data, blood tests, and x-rays required of the patient in shortening his time and effort
Medicinal plants of the world ; Vol.3 : Chemical constituents, traditional and modern medicinal uses
The author's exhaustive summary of available scientific data for each plant provides detailed information on how the plant is used in different countries, describing its traditional therapeutic applications and what is known from its use in clinical trials. Additional material presented includes a botanical description with a color photo of each plant for identification, the common names used for the plant throughout the world, and a listing of the plant's known chemical constituents. A comprehensive bibliography cites the literature available from a wide range of disciplines. Medicinal Plants of the World: Chemical Constituents, Traditional and Modern Medicinal Uses, Volume 3, offers a unique collection of vital scientific information for pharmacologists, herbal medicine practitioners, drug developers, phytochemists, medicinal chemists, phytologists, toxicologists, and researchers who want to explore the many uses of plant materials for medicinal and related purposes. Its wealth of significant information will reveal little-known facts about these plants and open new horizons of application for the many novel drugs and drug candidates found in them.
Medicina delletà prenatale : Prevenzione, diagnosi e terapia dei difetti congeniti e delle principali patologie gravidiche = Prenatal medicine: Prevention, diagnosis and therapy of congenital defects and the main pathologies of pregnancy
This text aims to respond to the actual need to bring together in a single and updated reference text notions and data from different backgrounds, all essential for optimal monitoring of pregnancy.
Medication problems and consequences due to the misuse of chronic drugs
All medicines can cause harm as well as benefit. Without systematic scientific evidence of benefit, no harmful effect, however rare, is worth the risk. This message is hardly revolutionary; it is one of the key principles of drug regulation Across all care environments, pharmacists play an essential role in the care of people who use and misuse of drug Medication history errors potentially clinically important, Improved physician training, accessible community pharmacy databases and closer teamwork between patients, physicians and pharmacists could reduce the frequency of these errors.
Medical Reprints: 3D ed.
3D printing or additive manufacturing is a novel method of manufacturing parts directly from a digital model by using layer by layer material build-up approaches. This discovery is predicted to have the greatest impact on the future industries. Additive manufacturing has numerous applications in different areas including healthcare. Applications encompass many medical fields such as dentistry, surgery, and medical devices as well as the pharmaceutical field. Due to transplant donor deficiencies, ‘bioprinting’ has been invented to print biocompatible organs. Adding ‘time’ as a 4th dimension, 4D printing uses ‘smart materials’ to initiate the ‘smart drugs’ era.
Medical Informatics : Knowledge Management and Data Mining in Biomedicine
Knowledge Management and Data Mining in Biomedicine covers the basic foundations of the area while extending the foundational material to include the recent leading-edge research in the field. The newer concepts, techniques, and practices of biomedical knowledge management and data mining are introduced and examined in detail. It is the research and applications in these areas that are raising the technical horizons and expanding the utility of informatics to an increasing number of biomedical professionals and researchers. These concepts and techniques are illustrated with detailed case studies.
Medical image synthesis : Methods and clinical applications
Image synthesis across and within medical imaging modalities is an active area of research with broad applications in radiology and radiation oncology. This book covers the principles and methods of medical image synthesis, along with state-of-the-art research. First, various traditional non-learning-based, traditional machine-learning-based, and recent deep-learning-based medical image synthesis methods are reviewed. Second, specific applications of different inter- and intra-modality image synthesis tasks and of synthetic image-aided segmentation and registration are introduced and summarized, listing and highlighting the proposed methods, study designs, and reported performances with the related clinical applications of representative studies. Third, the clinical usages of medical image synthesis, such as treatment planning and image-guided adaptive radiotherapy, are discussed. Last, the limitations and current challenges of various medical synthesis applications are explored, along with future trends and potential solutions to solve these difficulties.
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008 ; 11th International Conference, New York, NY, USA, September 6-10, 2008, Proceedings, Part II
The program committee carefully selected 258 revised papers from numerous submissions for presentation in two volumes, based on rigorous peer reviews. The first volume includes 127 papers related to medical image computing, segmentation, shape and statistics analysis, modeling, motion tracking and compensation, as well as registration. The second volume contains 131 contributions related to robotics and interventions, statistical analysis, segmentation, intervention, modeling, and registration.
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008 ; 11th International Conference, New York, NY, USA, September 6-10, 2008, Proceedings, Part I
The program committee carefully selected 258 revised papers from numerous submissions for presentation in two volumes, based on rigorous peer reviews. The first volume includes 127 papers related to medical image computing, segmentation, shape and statistics analysis, modeling, motion tracking and compensation, as well as registration. The second volume contains 131 contributions related to robotics and interventions, statistical analysis, segmentation, intervention, modeling, and registration.
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006 ; Vol. 4191; 9th International Conference, Copenhagen, Denmark, October 1-6, 2006, Proceedings, Part II
T MICCAI papers are of high standard and have a long lifetime. In this v- ume as well as in the latest journal issues of Medical Image Analysis and IEEE Transactions on Medical Imaging papers cite previous MICCAIs including the ?rst MICCAI conference in Cambridge, Massachusetts, 1998. It is obvious that the community requires the MICCAI papers as archive material. Therefore the proceedingsofMICCAIarefrom2005andhenceforthbeing indexedbyMedline. Acarefulreviewandselectionprocesswasexecutedinordertosecurethebest possible program for the MICCAI 2006 conference. We received 578 scienti?c papers from which 39 papers were selected for the oral program and 193 papers for the poster program.
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006 ; Vol. 4190 ; 9th International Conference, Copenhagen, Denmark, October 1-6, 2006, Proceedings, Part I
MICCAI papers are of high standard and have a long lifetime. In this v- ume as well as in the latest journal issues of Medical Image Analysis and IEEE Transactions on Medical Imaging papers cite previous MICCAIs including the ?rst MICCAI conference in Cambridge, Massachusetts, 1998. It is obvious that the community requires the MICCAI papers as archive material. Therefore the proceedingsofMICCAIarefrom2005andhenceforthbeing indexedbyMedline. Acarefulreviewandselectionprocesswasexecutedinordertosecurethebest possible program for the MICCAI 2006 conference. We received 578 scienti?c papers from which 39 papers were selected for the oral program and 193 papers for the poster program.
Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2005 ; 8th International Conference, Palm Springs, CA, USA, October 26-29, 2005, Proceedings, Part II
Robotics, Image-Guided Surgery and Interventions -- Image Registration II -- Medical Image Computing -- Atlases -- Shape I -- Structural and Functional Brain Analysis -- Model-Based Image Analysis -- Image-Guided Intervention: Simulation, Modeling and Display -- Simulation and Modeling II -- Medical Image Computing -- Shape II -- Image Segmentation and Analysis II -- Image Registration III --
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2005 ; 8th International Conference, Palm Springs, CA, USA, October 26-29, 2005, Proceedings, Part I
This paper presents a method for classification of medical images, using machine learning and deformation-based morphometry. A morphological representation of the anatomy of interest is first obtained using highdimensional template warping, from which regions that display strong correlations between morphological measurements and the classification (clinical) variable are extracted using a watershed segmentation, taking into account the regional smoothness of the correlation map which is estimated by a crossvalidation strategy in order to achieve robustness to outliers. A Support Vector Machine-Recursive Feature Elimination (SVM-RFE) technique is then used to rank computed features from the extracted regions, according to their effect on the leave-one-out error bound. Finally, SVM classification is applied using the best set of features, and it is tested using leave-one-out. The results from a group of 61 brain images of female normal controls and schizophrenia patients demonstrate not only high classification accuracy (91.8%) and steep ROC curves, but also exceptional stability with respect to the number of selected features and the SVM kernel size
Medical data processing and analysis
Medical data can be defined as obtaining information from patients (such as signals, images, sounds, chemical components and their concentration, body temperature, respiratory rate, blood pressure, and different treatment measurements) to quantify the patient’s status and disease stage. Computer-aided diagnostic (CAD) systems use classical image processing, computer vision, machine learning, and deep learning methods for image analysis. Using image classification or segmentation algorithms, they find a region of interest (ROI) pointing to a specific location within the given image or an outcome of interest in the form of a label pointing to a diagnosis or prognosis. Computer science, with the evolution of artificial intelligence and machine learning techniques, facilitates the modeling and interpretation of results—from carrying out measurements to experiments and observations.
Medical centers management system
The medical clinics management system (MCMS) is a system that manages a group of clinics distributed within different governorates and regions in Syria, as it manages data entry processes for each patient such as personal information, disease and accompanying symptoms in addition to doctors' information, and clinics through a web application. The system also performs mining algorithms on the current data for discovering new symptoms and diseases by analyzing patient, diseases and symptoms data available within the database, to subsequently notify the admins of the emergence of a new symptom or an increase in a disease in a given area. In addition to generating daily or weekly reports containing the number of visits and cases of recovery and other information.
Medical Biometrics ; 1st International Conference, ICMB 2008, Hong Kong, China, January 4-5, 2008, Proceedings
Medical biometrics primarily refers to the usage of beh- ioral and physiological characteristics of humans for medical diagnosis and body care. Thus the goal of medical biometrics is to explore solutions to the open problems in medicine using biometric measurements, technologies and systems.
Mechanosensitive Ion Channels
This book explores the latest data dealing with mechanosensitive channels research results. It was compiled by a group of internationally recognized scientists leading in the field of mechanosensitive ion channels or mechanically gated channels and signaling cascades research.
Mechanisms of Angiogenesis
Is it advisable to go back from bedside to the bench? During the last decade, few topics encountered such a broad interest in bio- gy and medicine as angiogenesis. The amazing ability of the body to restore blood flow by induction of blood vessel growth as part of an adaptive process has alarmed physicians dealing with diseases in which angiogenesis is either exaggerated (as in tumors) or too slow (as in ischemic diseases of heart and brain). Not surprisingly, pro- and antiangiogenic strategies have found their way into clinical trials. For instance, for the USA, the NIH website in early 2004 displayed 38 clinical studies involving either pro- or antiangiogenic th- apies. Given the expected overwhelming wealth of clinical data, the question may be asked whether further exploration of biological mechanisms is required or whether results from the bedside are instructive enough to proceed. This question depends also on the progress of pro- and antiangiogenic clinical trials. In the following, I give a short overview about some of the progress that has been made in this field. Since Judah Folkman proposed antiangiogenic tumor therapy thirty years ago, it has become increasingly evident that agents which interfere with blood vessel formation also block tumor progression. Accordingly, antiangiogenic therapy has gained much attention as a potential adjunct to conventional c- cer therapy.
