The Library owns the volumes of the American Jewish Yearbook from 1899 - current.

As life expectancy rates continue to increase in many countries around the world, comparative health assessments based on mortality rates alone give an increasingly inadequate picture of public health. This publication addresses a wide range of key issues regarding the measurement of population health using comprehensive indices which combine data on mortality and ill-health. It considers the various uses of such summary measures, as well as an appropriate measurement framework and specific ethical and social value choices involved. The contributors to this book include leading experts in epidemiological methods, ethics, health economics, health status measurement and the valuation of health states.

Placing the prostitute at the center of reading, Fictions of Bad Life moves between text and meta-text, exploring how to rescue the prostitute from her imprisonment and turn her into the subject of history.

This is the lovingly prepared account of the history of the Broken Hill Synagogue and the Jewish community which built it, from the beginnings of the community in the 1880s, to the laying of the foundation stone in November 1910, to the centenary of the synagogue in 2010. Jews of the Outback celebrates the spiritual home of the Hebrew Congregation on the Wolfram Street as it passed through four epochs, documented in stories, documents, photographs and sketches.

Data driven Artificial Intelligence (AI) and Machine Learning (ML) in digital pathology, radiology, and dermatology is very promising. In specific cases, for example, Deep Learning (DL), even exceeding human performance. However, in the context of medicine it is important for a human expert to verify the outcome. Consequently, there is a need for transparency and re-traceability of state-of-the-art solutions to make them usable for ethical responsible medical decision support. Moreover, big data is required for training, covering a wide spectrum of a variety of human diseases in different organ systems. These data sets must meet top-quality and regulatory criteria and must be well annotated for ML at patient-, sample-, and image-level. Here biobanks play a central and future role in providing large collections of high-quality, well-annotated samples and data. The main challenges are finding biobanks containing ‘‘fit-for-purpose’’ samples, providing quality related meta-data, gaining access to standardized medical data and annotations, and mass scanning of whole slides including efficient data management solutions.