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The Fertility Doctor
As Louise Brown—the first baby conceived by in vitro fertilization—celebrates her 30th birthday, Margaret Marsh and Wanda Ronner tell the fascinating story of the man who first showed that human in vitro fertilization was possible. John Rock spent his career studying human reproduction. The first researcher to fertilize a human egg in vitro in the 1940s, he became the nation’s leading figure in the treatment of infertility, his clinic serving rich and poor alike. In the 1950s he joined forces with Gregory Pincus to develop oral contraceptives and in the 1960s enjoyed international celebrity for his promotion of the pill and his campaign to persuade the Catholic Church to accept it. Roc...
Conceive Magazine
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Conceive Magazine
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Conceive Magazine
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The Empty Cradle
So-called ovarian transplantations, performed in the early twentieth century, foreshadowed the modern practice of egg donation, and the first experiments in human in vitro fertilization date back to the 1930s. Marsh and Ronner also tell the little-known story of free and low-cost clinics in the urban North where low-income women were treated for infertility beginning in the nineteenth century.
Conceive Magazine
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The Pursuit of Parenthood
A wide-ranging history of assisted reproductive technologies and their ethical implications. Finalist of the PROSE Award for Best Book in History of Science, Medicine and Technology by the Association of American Publishers Since the 1978 birth of the first IVF baby, Louise Brown, in England, more than eight million children have been born with the help of assisted reproductive technologies. From the start, they have stirred controversy and raised profound questions: Should there be limits to the lengths to which people can go to make their idea of family a reality? Who should pay for treatment? How can we ensure the ethical use of these technologies? And what can be done to address the raci...
Conceive Magazine
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Data Science for Complex Systems
Many real-life systems are dynamic, evolving, and intertwined. Examples of such systems displaying 'complexity', can be found in a wide variety of contexts ranging from economics to biology, to the environmental and physical sciences. The study of complex systems involves analysis and interpretation of vast quantities of data, which necessitates the application of many classical and modern tools and techniques from statistics, network science, machine learning, and agent-based modelling. Drawing from the latest research, this self-contained and pedagogical text describes some of the most important and widely used methods, emphasising both empirical and theoretical approaches. More broadly, this book provides an accessible guide to a data-driven toolkit for scientists, engineers, and social scientists who require effective analysis of large quantities of data, whether that be related to social networks, financial markets, economies or other types of complex systems.
