Explore the vast range of titles available.

This book is a highly readable and entertaining account of the co-evolution of the patent system and the life science industries since the mid-19th century. The pharmaceutical industries have their origins in advances in synthetic chemistry and in natural products research. Both approaches to drug discovery and business have shaped patent law, as have the lobbying activities of the firms involved and their supporters in the legal profession. In turn, patent law has impacted on the life science industries. Compared to the first edition, which told this story for the first time, the present edition focuses more on specific businesses, products and technologies, including Bayer, Pfizer, GlaxoSmithKline, aspirin, penicillin, monoclonal antibodies and polymerase chain reaction. Another difference is that this second edition also looks into the future, addressing new areas such as systems biology, stem cell research, and synthetic biology, which promises to enable scientists to “invent” life forms from scratch.

This book is a highly readable and entertaining account of the co-evolution of the patent system and the life science industries since the mid-19th century. The pharmaceutical industries have their origins in advances in synthetic chemistry and in natural products research. Both approaches to drug discovery and business have shaped patent law, as have the lobbying activities of the firms involved and their supporters in the legal profession. In turn, patent law has impacted on the life science industries. Compared to the first edition, which told this story for the first time, the present edition focuses more on specific businesses, products and technologies, including Bayer, Pfizer, GlaxoSmithKline, aspirin, penicillin, monoclonal antibodies and polymerase chain reaction. Another difference is that this second edition also looks into the future, addressing new areas such as systems biology, stem cell research, and synthetic biology, which promises to enable scientists to \"invent\" life forms from scratch.

From gruesome self-experimentation to exhausting theoretical calculations, stories abound of scientists willfully surrendering health, well-being, and personal interests for the sake of their work. What accounts for the prevalence of this coupling of knowledge and pain-and for the peculiar assumption that science requires such suffering? In this lucid and absorbing history, Rebecca M. Herzig explores the rise of an ethic of \"self-sacrifice\" in American science. Delving into some of the more bewildering practices of the Gilded Age and the Progressive Era, she describes when and how science-the supposed standard of all things judicious and disinterested-came to rely on an enthralled investigator willing to embrace toil, danger, and even lethal dismemberment. With attention to shifting racial, sexual, and transnational politics, Herzig examines the suffering scientist as a way to understand the rapid transformation of American life between the Civil War and World War I.Suffering for Science reveals more than the passion evident in many scientific vocations; it also illuminates a nation's changing understandings of the purposes of suffering, the limits of reason, and the nature of freedom in the aftermath of slavery.

This is the first comprehensive account of \"Anatomy in National Socialism\". Traces the gradual escalation of ethical transgressions in anatomy during National Socialism from the traditional anatomical work with the dead to human experimentation, and points to the need for vigilance against similar gradual ethical compromise in contemporary medical ethics. Demonstrates the manner in which anatomists became complicit in the complete annihilation of the perceived \"enemies\" of the Nazi-government. Demands the full reconstruction of the biographies and memorialization of Nazi-victims, whose bodies were used for anatomical purposes.

We introduce the austraits database-a compilation of values of plant traits for taxa in the Australian flora (hereafter AusTraits). AusTraits synthesises data on 448 traits across 28,640 taxa from field campaigns, published literature, taxonomic monographs, and individual taxon descriptions. Traits vary in scope from physiological measures of performance (e.g. photosynthetic gas exchange, water-use efficiency) to morphological attributes (e.g. leaf area, seed mass, plant height) which link to aspects of ecological variation. AusTraits contains curated and harmonised individual-and species-level measurements coupled to, where available, contextual information on site properties and experimental conditions. This article provides information on version 3.0.2 of AusTraits which contains data for 997,808 trait-by-taxon combinations. We envision AusTraits as an ongoing collaborative initiative for easily archiving and sharing trait data, which also provides a template for other national or regional initiatives globally to fill persistent gaps in trait knowledge.

The modern research university originated in Europe in the second half of the nineteenth century, largely due to the creation and expansion of the teaching and research laboratory. The universities and the sciences underwent a laboratory revolution that fundamentally changed the nature of both. This revolutionary development began in chemistry, where Justus Liebig is credited with systematically employing his students in his ongoing research during the 1830s. Later, this development spread to other fields, including the social sciences and the humanities. The consequences for the universities were colossal. The expansion of the laboratories demanded extensive new building programs, reshaping the outlook of the university. The social structure of the university also diversified because of this laboratory expansion, while what it meant to be a scientist changed dramatically. This volume explores the spatial, social, and cultural dimensions of the rise of the modern research laboratory within universities and their consequent reshaping.

SciPy is an open-source scientific computing library for the Python programming language. Since its initial release in 2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories and millions of downloads per year. In this work, we provide an overview of the capabilities and development practices of SciPy 1.0 and highlight some recent technical developments. This Perspective describes the development and capabilities of SciPy 1.0, an open source scientific computing library for the Python programming language.

The Global Burden of Disease Study 2013 (GBD 2013) aims to bring together all available epidemiological data using a coherent measurement framework, standardised estimation methods, and transparent data sources to enable comparisons of health loss over time and across causes, age–sex groups, and countries. The GBD can be used to generate summary measures such as disability-adjusted life-years (DALYs) and healthy life expectancy (HALE) that make possible comparative assessments of broad epidemiological patterns across countries and time. These summary measures can also be used to quantify the component of variation in epidemiology that is related to sociodemographic development. We used the published GBD 2013 data for age-specific mortality, years of life lost due to premature mortality (YLLs), and years lived with disability (YLDs) to calculate DALYs and HALE for 1990, 1995, 2000, 2005, 2010, and 2013 for 188 countries. We calculated HALE using the Sullivan method; 95% uncertainty intervals (UIs) represent uncertainty in age-specific death rates and YLDs per person for each country, age, sex, and year. We estimated DALYs for 306 causes for each country as the sum of YLLs and YLDs; 95% UIs represent uncertainty in YLL and YLD rates. We quantified patterns of the epidemiological transition with a composite indicator of sociodemographic status, which we constructed from income per person, average years of schooling after age 15 years, and the total fertility rate and mean age of the population. We applied hierarchical regression to DALY rates by cause across countries to decompose variance related to the sociodemographic status variable, country, and time. Worldwide, from 1990 to 2013, life expectancy at birth rose by 6·2 years (95% UI 5·6–6·6), from 65·3 years (65·0–65·6) in 1990 to 71·5 years (71·0–71·9) in 2013, HALE at birth rose by 5·4 years (4·9–5·8), from 56·9 years (54·5–59·1) to 62·3 years (59·7–64·8), total DALYs fell by 3·6% (0·3–7·4), and age-standardised DALY rates per 100 000 people fell by 26·7% (24·6–29·1). For communicable, maternal, neonatal, and nutritional disorders, global DALY numbers, crude rates, and age-standardised rates have all declined between 1990 and 2013, whereas for non–communicable diseases, global DALYs have been increasing, DALY rates have remained nearly constant, and age-standardised DALY rates declined during the same period. From 2005 to 2013, the number of DALYs increased for most specific non-communicable diseases, including cardiovascular diseases and neoplasms, in addition to dengue, food-borne trematodes, and leishmaniasis; DALYs decreased for nearly all other causes. By 2013, the five leading causes of DALYs were ischaemic heart disease, lower respiratory infections, cerebrovascular disease, low back and neck pain, and road injuries. Sociodemographic status explained more than 50% of the variance between countries and over time for diarrhoea, lower respiratory infections, and other common infectious diseases; maternal disorders; neonatal disorders; nutritional deficiencies; other communicable, maternal, neonatal, and nutritional diseases; musculoskeletal disorders; and other non-communicable diseases. However, sociodemographic status explained less than 10% of the variance in DALY rates for cardiovascular diseases; chronic respiratory diseases; cirrhosis; diabetes, urogenital, blood, and endocrine diseases; unintentional injuries; and self-harm and interpersonal violence. Predictably, increased sociodemographic status was associated with a shift in burden from YLLs to YLDs, driven by declines in YLLs and increases in YLDs from musculoskeletal disorders, neurological disorders, and mental and substance use disorders. In most country-specific estimates, the increase in life expectancy was greater than that in HALE. Leading causes of DALYs are highly variable across countries. Global health is improving. Population growth and ageing have driven up numbers of DALYs, but crude rates have remained relatively constant, showing that progress in health does not mean fewer demands on health systems. The notion of an epidemiological transition—in which increasing sociodemographic status brings structured change in disease burden—is useful, but there is tremendous variation in burden of disease that is not associated with sociodemographic status. This further underscores the need for country-specific assessments of DALYs and HALE to appropriately inform health policy decisions and attendant actions. Bill & Melinda Gates Foundation.

Key Points Human induced pluripotent stem cell (iPSC) technology has evolved rapidly since its inception in 2007. Human iPSC technology has been widely used for disease modelling; for example, for neurodegenerative and psychiatric disorders. Human iPSC technology has yielded several drug candidates that are currently in clinical trials. The first clinical trial using human iPSC-derived products has been initiated for age-related macular degeneration. The combination with gene editing and 3D organoid technologies makes the iPSC platform more powerful. The continued development of iPSC technology and its integration with other technologies has the potential to make substantial contributions to disease modelling, drug discovery and regenerative medicine. Since the advent of induced pluripotent stem cell (iPSC) technology a decade ago, human iPSCs have been widely used for disease modelling, drug discovery and cell therapy development. This article discusses progress in applications of iPSC technology that are particularly relevant to drug discovery and regenerative medicine, including the powerful combination of human iPSC technology with recent developments in gene editing. Since the advent of induced pluripotent stem cell (iPSC) technology a decade ago, enormous progress has been made in stem cell biology and regenerative medicine. Human iPSCs have been widely used for disease modelling, drug discovery and cell therapy development. Novel pathological mechanisms have been elucidated, new drugs originating from iPSC screens are in the pipeline and the first clinical trial using human iPSC-derived products has been initiated. In particular, the combination of human iPSC technology with recent developments in gene editing and 3D organoids makes iPSC-based platforms even more powerful in each area of their application, including precision medicine. In this Review, we discuss the progress in applications of iPSC technology that are particularly relevant to drug discovery and regenerative medicine, and consider the remaining challenges and the emerging opportunities in the field.