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Community-Acquired Pneumonia
Community-acquired pneumonia (CAP) is a disease associated with high morbidity and mortality, with at least one third of cases requiring hospitalization, exceeding the numbers admitted for myocardial infarction and stroke. Despite a broad armamentarium of antimicrobials available, it remains an important cause of death in industrialized countries. CAP is caused by a variety of pathogens with their order of importance dependent on the location and population studied. Despite the importance of CAP, reliable data and a recommended evidence-based therapy are lacking, and basic research must be improved. The goal of this volume is to present state-of-the-art knowledge on epidemiology, clinical presentation, immunology, pathology, and diagnosis including the identification of "new pathogens". Therapeutic approaches, antibiotics resistance, disease management and vaccination strategies are also covered. The volume is of interest to researchers and clinicians in virology, epidemiology and biomedicine.
Cardiovascular Medicine
Cardiovascular Medicine, 3rd edition" offers the most up-to-date, user-friendly guidance on the evaluation, diagnosis and medical and surgical treatment of heart and vascular disease and will be relevant to the practice of every cardiologist, cardiac surgeon, vascular surgeon, diabetologist, cardiac radiologist and any physician who manages cardiac patients. Drs Willerson, Cohn, Wellens and Holmes – and over 150 world authorities – offer their decades of scientific and clinical experience. The book and DVD are designed to provide comprehensive coverage of every aspect of cardiovascular medicine from cardiac signs and symptoms .
Artificial intelligence applied to medical imaging and computational biology
Medical imaging and computational biology continuously pose new fundamental medical and biological questions that often give rise to novel challenges in Artificial Intelligence. These research fields present an increasing need for the application of cutting-edge computational approaches that generally involve machine learning or computational intelligence techniques, which can effectively perform bioimage and biosignal processing in different clinical areas.
