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Authors: - (2025) - Artificial Intelligence in e-health Framework, Volume One: AI, Classification, Wearable Devices, and Computer-Aided Diagnosis presents a variety of AI techniques and applications for solving issues in the healthcare industry. As Artificial Intelligence is increasingly incorporated into medical systems and methods, it is critical to understand the formulations and basics of machine and deep learning as well as how to implement these advances into practice. This book specifically explores Artificial Intelligence developments in disease diagnosis, health monitoring, medical image recognition, and diagnostics, as well as e-health records management.
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Authors: Chieko Kurihara (2023) - Ethical Innovation for Global Health: Pandemic, Democracy and Ethics in Research is an informative resource for academic researchers, the global pharmaceutical industry, regulators, civil society and other role players involved in global health. It is contributed to by leaders in global policy development in research ethics, and experts in drug development activities with its trajectory being global health. The COVID-19 pandemic, as a global disaster, necessitated not only socio-economic but also cultural transformation. While effective vaccines were developed under a successful new methodology, there remains inequity of distribution of these vaccines globally. The book re-engages with the notion of the primacy of distributing results of scientific innovation to those who most requi...
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Authors: Stephan Schleim (2025) - This open access book is the first to offer a systematic overview of the different methods for assessing brain development and a comparative review of how such assessments have already influenced the law. Lawmakers prefer to draw clear distinctions, but biology is characterized by continua: both in terms of how development proceeds within a person and how it differs from other people. However, this does not mean that age limits are arbitrary.
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Authors: Rajesh Singh (2025) - The book explores the fundamental concepts of AI and machine learning in the context of disease detection, the challenges and opportunities associated with using AI in healthcare, and the major applications of AI in disease detection. Healthcare experts, researchers, and students will gain practical skills in evaluating big data for health care, integrating artificial intelligence (AI) methods to medical data, and assessing the social and ethical consequences of AI in healthcare. They will also be able to recognise the essential AI applications in disease detection, enabling these individuals to make informed decisions when incorporating AI into their work or research. Overall, this book presents an overview of the transformation, progression, and applications of AI in disease detec...
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Authors: Bryan Kestenbaum (2019) - This is a concise introduction to epidemiology and biostatistics written specifically for medical students and first-time learners of clinical research methods. It presents the core concepts of epidemiology and of biostatistics and illustrates them with extensive examples from the clinical literature. It is the only book on the market written to speak directly to medical students and first-time biomedical researchers by using language and examples that are easy to understand. This newly updated second edition is extensively rewritten to provide the clearest explanations and examples. There is also a sister-text, a 150-problem workbook of practice problems that can be purchased alongside this textbook.
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Authors: Steven S. Agabegi (2024) - Step-Up to Medicine, 6th Edition, makes it easy to find information fast and take a confident next step toward a successful medical career. Ideal for preparing for clerkships or clinical rotations, shelf exams, and the USMLE Step 2, this bestselling volume in the popular Step-Up series provides a high-yield review of medicine in a concise, comprehensive approach. This 6th Edition is thoroughly updated and enhanced throughout. Clinical pearls, full-color illustrations, and “Quick Hits” provide essential information in an efficient, easy-to-remember manner to ensure excellence on exams and confidence in clinical settings, and a 100-question practice exam reinforces exam readiness and boosts test-taking confidence.
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Authors: Bill Mascull (2018) - This book is perfect for both self-study and classroom activities. It helps you to expand your vocabulary with easy to understand explanations and practice exercises, learn business language in context with 66 different topics and skills, and be confident about what you are learning, thanks to Cambridge research into how business English is really spoken and written..
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Authors: Mark W. Anderson (2024) - New coverage of the cervical spine, brain, and thumb, as well as new on/off labels in the eBook version make this title an essential diagnostic tool for both residents and practicing radiologists.Features color-coded labels for nerves, vessels, muscles, bone tendons, and ligaments that facilitate accurate identification of key anatomic structures.Provides new on/off labels in the accompanying eBook, as well as scroll and zoom capabilities on photos for convenient access during interpretation sessions and real-time resident education. Presents carefully labeled MRIs for all body parts, as well as schematic diagrams and concise statements, to clarify correlations between bones and tissues. Includes CT scans for selected body parts to enhance anatomic visualization
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Authors: Andria Merrison, Stefen Brady (2025) - A how-to-guide on the clinical assessment and investigation of patients presenting with muscle-related symptoms. Featuring a case-based approach, this accessible text is suitable for a wide range of clinical specialists who see patients presenting with both common and rare muscle diseases. Muscle diseases are often initially missed or misdiagnosed as they are uncommon disorders and can present in a variety of ways, often mimicking other more common disorders. Careful assessment of the history, physical examination and appropriate choice of investigations is therefore essential to reaching a diagnosis and providing short and long-term effective management plans
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Authors: Donald Shenenberger (2025) - Dermatology in Pediatrics, by Drs. Donald Shenenberger, Joel Spitz, Bernard Cohen, and Jonathan Glass, is a practical, everyday reference not only for dermatologists and dermatology residents, but also for pediatricians, family medicine physicians, and other clinicians who care for children. For each dermatologic condition, you’ll find a two-page spread: on the left is concise, templated information on diagnosis and management; on the right are full-color illustrations and clinical photographs that provide real-world visual guidance. From cover to cover, an easy-to-navigate, open, and visually appealing layout speeds you to the information you need.
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