Here is a book that aggregates five years of experience of three successive R and D projects (ELCH, GetTogether, GROPIS) covering technical and organizational issues of eProcurement. The projects, which were funded partly by the government and partly by industry and hospitals, looked at the characteristics of procurement processes and at standard technologies. Two of the projects included case studies (ELCH, GROPIS), the third project focused on the development of standard business objects for eProcurement in healthcare (GetTogether). Together they form a rich source of information worth communicating to a large audience of experts and newcomers alike.

Probabilistic Modelling in Bioinformatics and Medical Informatics has been written for researchers and students in statistics, machine learning, and the biological sciences. The first part of this book provides a self-contained introduction to the methodology of Bayesian networks. The following parts demonstrate how these methods are applied in bioinformatics and medical informatics. All three fields - the methodology of probabilistic modeling, bioinformatics, and medical informatics - are evolving very quickly. The text should therefore be seen as an introduction, offering both elementary tutorials as well as more advanced applications and case studies.

Incentives for innovation are particularly relevant in the pharmaceutical industry where not all social needs provide equally profitable opportunities and where most OECD countries try to implement different measures that promote research in these less profitable areas. This book describes how incentives can be provided to deal with less profitable activities when no clear markets exist for the innovations. The book discusses alternative mechanisms to substitute for inexistent markets, situations where traditional instruments have proven totally insufficient, and the clear mismatch between the size of the markets being targeted and the incentives being provided. Patents become an ineffective way to incentivise R&D when the appropriability is low; this book provides alternative ideas such as allowing for a period of data exclusivity to firms that develop new drugs.

This book constitutes the refereed proceedings of the 6th International Conference on Pattern Recognition in Bioinformatics, PRIB 2011, held in Delft, The Netherlands, in November 2011. The 29 revised full papers presented were carefully reviewed and selected from 35 submissions. The papers cover the wide range of possible applications of bioinformatics in pattern recognition: novel algorithms to handle traditional pattern recognition problems such as (bi)clustering, classification and feature selection; applications of (novel) pattern recognition techniques to infer and analyze biological networks and studies on specific problems such as biological image analysis and the relation between sequence and structure. They are organized in the following topical sections: clustering, biomarker selection and classification, network inference and analysis, image analysis, and sequence, structure, and interactions.

Bioinformatics can be loosely defined as the collection, classification, storage, and analysis of biochemical and biological information using computers and mathematical algorithms. Although no single person or group started the field wholly on their own, Temple Smith, Ph.D., a professor at Boston University, is generally credited with coining the term. Bioinformatics represents a marriage of biology, medicine, computer science, physics, and mathematics, fields of study that have historically existed as mutually exclusive disciplines.

Concurrently, bioinformatics has vaulted into the public s eye in lay newspapers and magazines, most notably in the area of (personalized) DNA sequencing. The combined result is that bioinformatics is being heralded as a panacea to the current limitations in the clinical management of cancer. While certainly over optimistic in some regards, this designation is not without promise particularly in the area of cancer diagnosis and prognosis.

The focus of this book is to: i) to provide a historical and technical perspective on the analytical techniques, methodologies, and platforms used in bioinformatics experiments, ii) to show how a bioinformatics approach has been used to characterize various cancer-related processes, and iii) to demonstrate how a bioinformatics approach is being used to bridge basic science and the clinical arena to positively impact patient care and management."

User models have recently attracted much research interest in the field of artificial intelligence dialog systems. It has become evident that a flexible user-oriented dialog behavior of such systems can be realized only if the system disposes of a model of the user, containing assumptions about the users background knowledge as well as the users goals and plans in consulting the system. Research in the field of user models investigates how such assumptions can be automatically created, represented and exploited by the system in the course of an interaction with the user. This volume is the first survey pertaining to the field of user modeling. Most of the prominent international researchers in this area have contributed to this volume. Their papers are grouped into four sections: The introductory section contains a general view of the field as a whole, and a number of surveys of specific problems and techniques in user modeling. Sections two and three describe eight user modeling systems, with the focus lying on the automatic creation and exploitation of assumptions about the user respectively. The final section discusses several limits of current systems, and proposes solutions as to how some of the shortcomings might be overcome. In order to increase the quality and the coherency of the volume, each paper has been reviewed by all other contributors. Cross-references have been integrated wherever appropriate. All contributions are introduced in editorial prefaces pertaining to each section. A subject index and an extensive bibliography supplement the book.

When Pascal James Imperato, MD, assumed the edi * Exclusion by the New York State Departm~nt of Health of qualified laboratories from HIV testmg torship of the New York State Journal of Medicine in 198~, the acquired immunodeficiency syndro. me (AIDS) epI * Protection of health care workers * Responsibilities of physicians and other health care demic in the United States was already SIX years old. Dur ing the time of his editorship, two thematic issues of the workers Journal have been devoted to AIDS. In addition, a large * Public education number of original communications have been regularly * AIDS confidentiality published on the subje~t. This volume ?rings together The Symposium on AIDS in Washington, DC, had important articles published on AIDS m the Journal been so successful that the MSSNY, under the auspices of during 1987 and 1988. . . the task force and the Division of Governmental Affairs, In the early years of the epidemic the Medical Society of held two informational symposia for state senators and the State of New York (MSSNY) was aware that it had a assemblymen and their staffs in Albany, New York. Thes. e responsibility to both the professi?~ an~ the public to add were presented in February 1988 and. March. 1989. ,!,hIS its efforts to those already mobIlized m the attempt to effort has convinced the MSSNY that It has given legisla understand and control this tragic disease. Early on, the tors a better understanding of the overall AIDS problem.

This book constitutes the refereed proceedings of the IFIP WG 8.4/8.9 International Cross Domain Conference and Workshop on Availability, Reliability and Security - Multidisciplinary Research and Practice for Business, Enterprise and Health Information Systems, ARGES 2011, held in Vienna, Austria, in August 2011.The 29 revised papers presented were carefully reviewed and selected for inclusion in the volume. The papers concentrate on the many aspects of availability, reliability and security for information systems as a discipline bridging the application fields and the well- defined computer science field. They are organized in three sections: multidisciplinary research and practice for business, enterprise and health information systems; massive information sharing and integration and electronic healthcare; and papers from the colocated International Workshop on Security and Cognitive Informatics for Homeland Defense.

Conceived as a cross between natural language processing methods and biological sequences in DNA, RNA and protein, biological language model is a new scientific research topic in bioinformatics that has been extensively studied by the authors. The basic theory and applications of this model are presented in this book to serve as an reference for graduate students and researchers.

This book constitutes the refereed proceedings of the 22nd International Conference on Information Processing in Medical Imaging, IPMI 2011, held at Kloster Irsee, Germany, in July 2011. The 24 full papers and 39 poster papers included in this volume were carefully reviewed and selected from 224 submissions. The papers are organized in topical sections on segmentation, statistical methods, shape analysis, registration, diffusion imaging, disease progression modeling, and computer aided diagnosis. The poster sessions deal with segmentation, shape analysis, statistical methods, image reconstruction, microscopic image analysis, computer aided diagnosis, diffusion imaging, functional brain analysis, registration and other related topics.

This book constitutes the refereed proceedings of the 6th International Conference on Augmented Cognition, FAC 2011, held in Orlando, FL, USA in July 2011, within the framework of the 14th International Conference on Human-Computer Interaction, HCII 2011, with 11 other thematically similar conferences. The 75 full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical parts on theories, models, and technologies for augmented cognition; neuroscience and brain monitoring; augmented cognition, social computing, and collaboration; augmented cognition for learning; augmented cognition and interaction; and augmented cognition in complex environments.

In den letzten Jahren hat sich der Workshop "Bildverarbeitung fur die Medizin" durch erfolgreiche Veranstaltungen etabliert. Ziel ist auch 2010 wieder die Darstellung aktueller Forschungsergebnisse und die Vertiefung der Gesprache zwischen Wissenschaftlern, Industrie und Anwendern. Die Beitrage dieses Bandes - einige in englischer Sprache - behandeln alle Bereiche der medizinischen Bildverarbeitung, insbesondere Bildgebung, CAD, Segmentierung, Bildanalyse, Visualisierung und Animation, Roboter und Manipulatoren, Chirurgische Simulatoren, Diagnose, Therapieplanung sowie deren klinische Anwendungen.

This compendium brings together leading researchers in the fields of Intelligent Systems and healthcare aiming at medical engineers, healthcare managers and computer scientists worldwide. This book is an overview of intelligent paradigms and strategic investments that might payoff for the healthcare enterprise. Specifically, the reader will get ideas for efficiency enhancements for improving effectiveness and quality of care and for increasing patient safety. "Advanced Intelligent Paradigms in Healthcare" straddles technologic topics from DNA processing and automating medical second opinions in the lab, to telemedicine and chat spaces for rural patient outreach, among many others. In terms of management concerns, this book also explores systems approaches such as automated clinical guidelines, institutional workflow management, and best practices and lessons learned with actual applications.

Understanding the importance of nanosciences in diabetes is problematic as some texts can be too technical for the novice. This book uses a reader friendly format suitable not only for practitioners but newcomers as well. It begins with general aspects of nanotechnology and nanomedicine in diabetes. It then discusses glucose and glucose sensors based on functional nanocomposites before moving on to a discussion of insulin and the use of nanoprobes to monitor cell processes in the pancreas. Finally, it explores drugs and other treatments, including second-generation sulfonylurea glipizide loaded biodegradable nanoparticles and nanoparticle-mediated delivery of angiogenic inhibitors in diabetic retinopathy."

With the ever-increasing volume of information in clinical medicine, researchers and health professionals need computer-based storage, processing and dissemination. In this book, leading experts in the field provide a series of articles focusing on software applications used to translate information into outcomes of clinical relevance. This book is the perfect guide for researchers and clinical scientists working in this emerging "omics" era.

The recent accumulation of information from genomes, including their sequences, has resultednotonlyinnewattemptstoansweroldquestionsandsolvelongstandingissues inbiology,butalsointheformulationofnovelhypothesesthatarisepreciselyfromthis wealth of data. The storage, processing, description, transmission, connection, and analysis of these data has prompted bioinformatics to become one the most relevant applied sciences for this new century, walking hand-in-hand with modern molecular biology and clearly impacting areas like biotechnology and biomedicine. Bioinformatics skills have now become essential for many scientists working with DNA sequences. With this idea in mind, this book aims to provide practical guidance andtroubleshootingadviceforthecomputationalanalysisofDNAsequences,covering a range of issues and methods that unveil the multitude of applications and relevance that Bioinformatics has today. The analysis of protein sequences has been purposely excludedtogainfocus.Individualbookchaptersareorientedtowardthedescriptionof theuseofspecificbioinformaticstools,accompaniedbypracticalexamples,adiscussion on the interpretation of results, and specific comments on strengths and limitations of the methods and tools. In a sense, chapters could be seen as enriched task-oriented manuals that will direct the reader in completing specific bioinformatics analyses. The target audience for this book is biochemists, and molecular and evolutionary biologiststhatwanttolearnhowtoanalyzeDNAsequencesinasimplebutmeaningful fashion. Readers do not need a special background in statistics, mathematics, or computer science, just a basic knowledge of molecular biology and genetics. All the tools described in the book are free and all of them can be downloaded or accessed throughtheweb.Mostchapterscouldbeusedforpracticaladvancedundergraduateor graduate-level courses in bioinformatics and molecular evolution.

The book provides a comprehensive overview for the latest WBAN systems, technologies, and applications. The chapters of the book have been written by various specialists who are experts in their areas of research and practice. The book starts with the basic techniques involved in designing and building WBAN systems. It explains the deployment issues and then moves into the application areas of WBAN. The remaining chapters focus on the development of hardware, signal processing algorithms, and wireless communication and network design for wearable and implantable body sensors used in WBAN applications. The book also deals with the antenna design, propagation in and around the body, channel modeling, coexistence and power management issues, which are other critical design components for WBAN systems to achieve a successful hospital deployment.

Health institutions are investing in and fielding information technology solutions at an unprecedented pace. With the recommendations from the Institute of Medicine around information technology solutions for patient safety, mandates from industry groups such as Leapfrog about using infor mation systems to improve health care, and the move toward evidence based practice, health institutions cannot afford to retain manual practices. The installation of multi-million dollar computerized health systems repre sents the very life blood of contemporary clinical operations and a crucial link to the financial viability of institutions. Yet, the implementation of health information systems is exceptionally complex, expensive and often just plain messy. The need for improvement in the art and science of systems implemen tation is clear: up to 70-80% of information technology installations fail. The reasons are multi-faceted, ranging from the complexity of the diverse workflows being computerized, the intricate nature of health organizations, the knowledge and skills of users to other reasons such as strategies for obtaining key executive support, weaving through the politics peculiar to the institution, and technical facets including the usability of systems. Thus, the art and science of successfully implementing systems remains deeply layered in elusiveness. Still, given the pervasiveness of system implementa tions and the importance of the outcomes, this is a critical topic, especially for nurses and informatics nurse specialists."

Healthcare is noted for using leading-edge technologies and embracing new scientific discoveries to enable better cures for diseases and better means to enable early detection of most life-threatening diseases. However, the healthcare industry globally, and in the US specifically, has been extremely slow to adopt technologies that focus on better practice management and administrative needs. Presently, healthcare is grappling with many challenges both nationally and globally, including escalating costs, a move to a preventative care environment, and a technologically savvy patient with high expectations. The Handbook of Research on Optimizing Healthcare Management Techniques is a pivotal reference source that provides an extensive and rich compilation of various ICT initiatives and examines the role that ICT plays and will play in the future of healthcare delivery. It represents ways in which healthcare delivery can be made superior and the healthcare industry can begin to address the major challenges it faces in the 21st century so that ultimately the most important person in the web of healthcare players, the patient, can be confident about receiving high-quality, cost-effective healthcare. While highlighting topics such as e-health, medical informatics, and patient value, this publication explores the role of supportive technologies as well as the methods of focused, patient-centric outcomes. This book is ideally designed for doctors, nurses, hospital administrators, medical staff, hospital directors, medical boards, IT consultants, health practitioners, academicians, researchers, and students.

A collection of readily reproducible bioinformatic methods to advance the drug discovery process from gene identification to protein modeling to the identification of specific drug candidates. The authors demonstrate these techniques, including microarray analysis, the analysis of genes as potential drug targets, virtual screening and in silico protein design, and cheminformatics, in a variety of practical situations. Because these technologies are still emergent, each chapter contains an extended introduction that explains the theory and application of the technology and techniques described.

The nanosciences are a rapidly expanding field of research with a wide applicability to all areas of health and disease prevention. This book, covers the regulation of nanomedicine, nanotubes, topical applications of nanoparticles, nanocrystals, antioxidant nanoparticles, lipid nanocapsules, nanotheragnostic colloids, nanotechnology in the control of infectious disease, virus-based nanoparticles and the safety of nanoparticles. It also covers nanomedicine in relation to pulmonary drug delivery, the control of infectious disease, radiation protection, arthritis, cancer nanomedicine, blood diseases, neurodegenerative disorders, and tissue and implant engineering.

This volume contains the papers selected for presentation at the 4th Brazilian Sym- sium on Bioinformatics, BSB 2009, which was held in Porto Alegre, Brazil, during August 29-31, 2009. The BSB symposium had its origins in the Brazilian Workshop on Bioinformatics (WOB). WOB had three editions, in 2002 (Gramado, RS), in 2003 (Macae, RJ), and in 2004 (Brasilia, DF). The change in the designation from wo- shop to symposium reflects the increase in the quality of the contributions and also in the interest of the scientific community for the meeting. The previous editions of BSB took place in Sao Leopoldo, RS, in 2005, in Angra dos Reis, RJ, in 2007, and in Santo Andre, SP, in 2008. As evidence of the internationalization of the event, BSB 2009 had 55 submissions from seven countries. Of the 55 papers submitted, 36 were full papers, with up to 12 pages each, and 19 were extended abstracts, with up to 4 pages each. The articles submitted were carefully reviewed and selected by an international Program Comm- tee, comprising three chairs and 45 members from around the world, with the help of 21 additional reviewers. The Program Committee Chairs are very thankful to the - thors of all submitted papers, and especially to the Program Committee members and the additional reviewers, who helped select the 12 full papers and the six extended abstracts that make up this book.

The European Society for Arti?cial Intelligence in Medicine (AIME) was - tablished in 1986 following a very successful workshop held in Pavia, Italy, the year before. The principal aims of AIME are to foster fundamental and applied research in the application of arti?cial intelligence (AI) techniques to medical care and medical research, and to provide a forum at biennial conferences for discussing any progress made. For this reason the main activity of the society wastheorganizationofaseriesofbiennialconferences, heldinMarseilles, France (1987), London, UK (1989), Maastricht, The Netherlands (1991), Munich, G- many (1993), Pavia, Italy (1995), Grenoble, France (1997), Aalborg, Denmark (1999), Cascais, Portugal(2001), Protaras, Cyprus(2003), Aberdeen, UK(2005), and Amsterdam, The Netherlands (2007). This volume contains the proceedings of AIME 2009, the 12th Conference on Articial Intelligence in Medicine, held in Verona, Italy, July 18-22, 2009. The AIME 2009 goalswereto present and consolidate the internationalstate of the art of AI in biomedical research from the perspectives of theory, meth- ology, and application. The conference included two invited lectures, full and short papers, tutorials, workshops, and a doctoral consortium. In the conference announcement, authors were solicited to submit originalcontributions regarding the developmentoftheory, techniques, andapplications ofAI in biomedicine, - cluding the exploitation of AI approaches to molecular medicine and biomedical informaticsandto healthcareorganizationalaspects. Authorsofpapersaddre- ing theory were requested to describe the properties of novel AI methodologies potentially useful for solving biomedical

The ?eld of bioinformatics has two main objectives: the creation and main- nance of biological databases and the analysis of life sciences data in order to unravel the mysteries of biological function. Computer science methods such as patternrecognition,machinelearning,anddatamining haveagreatdealtoo?er the ?eld of bioinformatics. The Pattern Recognition in Bioinformatics (PRIB) meeting was established in 2006 under the auspices of the International Asso- ation of Pattern Recognition (IAPR) to create a focus for the application and development of computer science methods to life science data. The 5th PRIB conference was held in Nijmegen, The Netherlands, on 22-24 September 2010. A total of 46 papers were submitted to the conference for peer review. Of those, 38 (83%) were accepted for publication in these proceedings. The invited speakers were Rita Casadio (Bologna Biocomputing Group, Italy), Florence d'Alch' e-Buc (Universit' e d'Evry-Val d'Essonne, France), Daniel - son (Tu ..bingen University, Germany), and Natasa Przulj (Imperial College L- don, UK). Tutorials weredeliveredby Concettina Guerra (Universit' adi Padova, Italy), Clarisse Dhaenens (Laboratoire LIFL/INRIA, France), Laetitia Jourdan (Laboratoire LIFL/INRIA, France), Neil Lawrence (University of Manchester, UK), and Dick de Ridder (Delft University of Technology).

This book contains a comprehensive collection of experimental and computational strategies and techniques for microbial genome-scale essentiality studies, developed and presented by the leading groups in the field. It contains detailed description of the procedures, discussion of potential difficulties and failures. All protocols follow the successful Methods in Molecular Biology series format.