New Books

Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.

This book discusses and evaluates AI and machine learning (ML) algorithms in dealing with challenges that are primarily related to public health. It also helps find ways in which we can measure possible consequences and societal impacts.

This book explores artificial intelligences tangible and intangible impact on higher education and scientific research and discusses how higher education and scientific research enhance the progress of artificial intelligence technologies.

On what basis can we challenge Artificial Intelligence (AI)its infusion, investment, and implementation across the globe? This book answers this question by drawing on a range of critical approaches across the social sciences and humanities, including posthumanism, ethics and human values, media and communications, linguistics, governance and justice studies, surveillance studies, Black feminism, and social and political resistance.

This text cuts through the enormous jumble of information to answer: What just happened to us, and why? And crucially, how, next time, could we do better? Because there will be a next time. The Covid war showed Americans that their wondrous scientific knowledge had run far ahead of their organized ability to apply it in practice. Improvising to fight this war, many Americans displayed ingenuity and dedication. But they struggled with systems that made success difficult and failure easy. This book shows how Americans can come together, learn hard truths, build on what worked, and prepare for global emergencies to come.

This book details the necessity for an inclusive curriculum with examples of discipline-specific activities and modules. The intersectionality of race, age, socioeconomic status, and ability all embody the diversity college instructors encounter in their classrooms. The editors focus on learner-centered environments and accessibility of classroom materials for traditionally marginalized students; a critical part of the labor needed to create an inclusive curriculum. This text provides instructors with resources to create equity-based learning environments. It challenges instructors to see beyond Eurocentric curriculums and expand their pedagogy to include intercultural competence.

Drawing on expert interviews, original research, and personal storytelling, Digital Health explores the theory, science, and applications behind the uses of emerging digital technologies in healthcare.

This book is the combination of the literature on maternal drug use and birth defects with a set of new data on most types of drugs. In this book, for each group of drugs the relevant scientific literature on drug teratogenicity is presented, with consideration of possible sources of error and also what the findings may mean from a practical point of view. The book also adds data from the Swedish health registers for 1996-2013 based on more than 1.7 million early-pregnancy midwife interviews. Maternal Drug Use and Infant Congenital Malformations will find an engaged audience among people working within the field, and will be of interest to healthcare providers, especially obstetricians and other clinicians who treat women of childbearing age

This book addresses the principles of qualitative research in a clear, concise manner and by providing many different examples from the health professions literature. Discusses how qualitative methods frame a researchable problem, derive a purpose statement and research questions from the problem, and guide the procedures for data collection and analysis. Additional content includes how to write and present qualitative research findings. References published studies to provide specific examples and offer exercises and activities to further learning of qualitative research.

India has a very long history of safely using many herbal drugs. Folk medicine is also a key source of medical knowledge and plays a vital role in maintaining health in rural and remote areas. Despite its importance, this form of medicine largely remains under-investigated. Out of all the traditional medicinal systems used worldwide, Indian traditional medicine holds a unique position, as it has continued to deliver healthcare throughout the Asian subcontinent since ancient times. In addition, traditional medicine has been used to derive advanced techniques and investigate many modern drugs. Given the scope of its coverage, the book offers a valuable resource for scientists and researchers exploring traditional and herbal medicine, as well as graduate students in courses on traditional medicine, herbal medicine and pharmacy.

Provides comprehensive coverage of the challenges and opportunities facing the therapeutic implications of pharmacogenomics from academic, regulatory, pharmaceutical, socio-ethical and economic perspectives. While emphasis is on the limitations in moving the science into drug development and direct therapeutic applications, this book also focuses on clinical areas with successful applications and important initiatives that have the ability to further advance the discipline.

When considering the idea of using machine learning in healthcare, it is a Herculean task to present the entire gamut of information in the field of intelligent systems. It is, therefore the objective of this book to keep the presentation narrow and intensive. This approach is distinct from others in that it presents detailed computer simulations for all models presented with explanations of the program code. It includes unique and distinctive chapters on disease diagnosis, telemedicine, medical imaging, smart health monitoring, social media healthcare, and machine learning for COVID-19. These chapters help develop a clear understanding of the working of an algorithm while strengthening logical thinking.

Provides a comprehensive coverage on safety monitoring methodologies, covering both global trends and regional initiatives. Pharmacovigilance has traditionally focused on the handling of individual adverse event reports however recently there had been a shift towards aggregate analysis to better understand the scope of product risks. Written to be accessible not only to statisticians but also to safety scientists with a quantitative interest, this book aims to bridge the gap in knowledge between medical and statistical fields creating a truly multi-disciplinary approach that is very much needed for 21st century safety evaluation.