HealthCare | Data | Publicly available biomedical data | All Resources

OASIS

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OASIS is a key component of the Centers for Medicare and Medicaid (CMS) partnership with the home care industry to foster and monitor improved home health care outcomes.  It is also proposed to become an integral part of the revised Conditions of Participation for Medicare-certified home health agencies (HHAs). The Outcome and Assessment Information Set-C (OASIS-C) is a group of data elements that: (1) Represent core items of a comprehensive assessment for an adult home care patient; and (2) Form the basis for measuring patient outcomes for the purposes of outcome-based quality improvement (OBQI)

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Engineering and science | Penn Resources | All Resources

Penn Center for Health, Devices and Technology (Penn HealthTech)

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Sponsored in part by a generous gift from Penn alum Jonathan Brassington, the Penn Center for Health, Devices and Technology, known simply as Penn Health-Tech, was established as a collaboration between the Perelman School of Medicine, the School of Engineering and Applied Science, and the Office of the Vice Provost of Research. Penn Health-Tech provides resources and links innovators to regional partners, including the University of Pennsylvania health system and The Children’s Hospital of Philadelphia, expanding Penn’s biomedical technology pipeline

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Ethics and policy | Penn Resources | All Resources

Penn Department of Medical Ethics and Health Policy

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The Division of Medical Ethics aims to improve patient care, medical sciences, and health care policy through outstanding bioethics scholarship and the training of the next generation of bioethics scholars. With strengths in research ethics, neuro- and mental health ethics, global bioethics and the ethics of health care policy, it is among the leading centers of bioethics scholarship in the world.

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Ethics and policy | Clinical/biomedical | Penn Resources | All Resources

Penn Injury Science Center

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Funded by a grant from the Centers for Disease Control and Prevention, the Penn Injury Science Center brings together university, community, and government partners around intervention programs with the greatest potential for impact. They promote and perform the highest quality research, training, and translation of scientific discoveries into practice and policy in order to reduce injuries, violence and their impact on people around the world.

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Benchmarking | Data | All Resources

Penn Machine Learning Benchmarks (PMLB)

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This repository contains the code and data for a large, curated set of benchmark datasets for evaluating and comparing supervised machine learning algorithms. These data sets cover a broad range of applications, and include binary/multi-class classification problems and regression problems, as well as combinations of categorical, ordinal, and continuous features.

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Clinical/biomedical | Penn Resources | All Resources

Penn Memory Center

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The Penn Memory Center is a single, unified Penn Medicine source for those age 65 and older seeking evaluation, diagnosis, treatment, information, and research opportunities related to symptoms of progressive memory loss, and accompanying changes in thinking, communication and personality. The Center offers state-of-the-science diagnosis, treatment and research, focusing on individuals with Alzheimer’s disease, mild cognitive impairment (MCI) and other age-related progressive memory disorders.

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Penn Resources | Computing and data science | All Resources

Penn Neurodegeneration Genomics Center (PNGC)

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Penn Neurodegeneration Genomics Center (PNGC) is part of the Department of Pathology and Laboratory Medicine, in the Perelman School of Medicine, at the University of Pennsylvania. PNGC studies genetics of Alzheimer’s Disease and other related dementia. Our researchers apply high throughput genotyping and sequencing technologies to analyze tens of thousands of genomes and find novel genes. New experimental approaches, algorithms, and databases are developed in order to translate these findings into biological knowledge about the disease and new directions for drug discovery and preventive strategies.

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