Penn Machine Learning Benchmarks (PMLB)

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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Penn Machine Learning Benchmarks (PMLB)

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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Penn Memory Center

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 Neurodegeneration Genomics Center (PNGC)

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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Penn Program on Precision Medicine for the Brain (P3MB)

The Penn Program on Precision Medicine for the Brain (P3MB) seeks to understand the inter-related clinical, ethical, and policy implications of applying precision medicine to the brain and to translate these discoveries into practice. The power of P3MB is its multidisciplinary collaborations. The work is made possible by grants from the Alzheimer’s Association, Centers for Disease Control and Prevention, National Institute on Aging, and generous philanthropic support.

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Penn Translational Neuroscience Center (PTNC)

The Penn Medicine Translational Neuroscience Center (PTNC) is dedicated to accelerating and translating discoveries to transform the prevention, diagnosis and treatment of neuropsychiatric and neurological conditions. The PTNC works on initiatives around education, informatics, interdisciplinary research, and point of care research in the neuroscience domain. The center works closely with other The PTNC is working closely with Penn’s new Institute for Bioinformatics to create a neuro-informatics infrastructure to support translational research, and is developing a Translational Neuroscience Pipeline that facilitates industry partnerships. PTNC is also partnering with the Mahoney Institute for Neurosciences to enhance integration and synergies across the neurosciences at Penn.

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PennAITech Home

The overarching goal of the Penn Artificial Intelligence and Technology (PennAITech) Collaboratory for Healthy Aging is to identify, develop, evaluate, commercialize, and disseminate innovative technology and artificial intelligence (AI) methods and software to support older adults and those with Alzheimer’s Disease (AD) and Alzheimer’s Disease and Related Dementias (ADRD) in their home environment. The Collaboratory is motivated by the need for a comprehensive pipeline from technology-based monitoring of older adults in the home, collection and processing monitoring data, integration of those data with clinical data from electronic health records, analysis with cutting-edge AI methods and software, and deployment of validated AI models at point of care for decision support.

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