The Home Care Suite is an actual home environment within the Helene Fuld Pavilion for Innovative Learning and Simulation in the University of Pennsylvania School of Nursing, serving as a platform to facilitate new ideas and tools for processes and systems that promote health and wellness, disease prevention and management in the home/ community setting across the lifespan. Within this space (that is built as a studio apartment) various technologies are installed (for short or long term) and pilot-tested. The goal is to accelerate design and testing of innovative health solutions in the home recognizing that simulated environments yield more unique responses and drive better explorations about prototypes and solutions.
View ResourceInstitute for Biomedical Informatics (IBI)
June 6, 2022
by
Nursing ITS
The IBI provides leadership, education, and critical infrastructure to advance the integration and application of informatics methods and software in biomedical research including studies of common neuropsychiatric diseases such as depression, anxiety, stroke, and dementia.
View ResourceIntroduction to Research in a Computational Lab
March 5, 2023
by
Ray
This video is intended to give students (high school, undergrad, and grad) as well as new staff, an overview what research is like in a ‘dry’ or computational laboratory.
View ResourceLeonard Davis Institute of Health Economics (Penn LDI)
June 6, 2022
by
Nursing ITS
The mission of Penn LDI is to achieve effective and efficient health care for all people by supporting collaborative, interdisciplinary, cutting-edge research, and education. As Penn’s hub for health care delivery, health policy, and population health, the LDI connects and amplifies over 500 Fellows across the University, and trains the next generation of researchers.
View ResourceLinear and Logistic Regression Models
March 5, 2023
by
Ray
The Main Ideas of Fitting a Line to Data (The Main Ideas of Least Squares and Linear Regression.)
View ResourceMachine Learning Essentials for Biomedical Data Science
March 5, 2023
by
Ray
An educational playlist (including 11 videos) covering the key essentials for using machine learning as part of a data science analysis pipeline. While topics are primarily framed around applications in biomedicine, this content is broadly applicable to other domains. This series was prepared at the Cedars Sinai Medical Center in Los Angeles by Dr. Ryan Urbanowicz of the Department of Computational Biomedicine.
View ResourceMahoney Institute for Neurosciences
September 1, 2022
by
Nursing ITS
Founded as the Institute of Neurological Sciences in 1953 by the visionary professor of Anatomy, Dr. Louis Flexner, our Institute was renamed in 1985 to reflect the keen interest and support that corporate magnate David Mahoney brought to neuroscience. MINS founded and continues to provide substantial support for the Neuroscience Graduate Group (NGG), Penn’s award-winning doctoral program in neuroscience.
View ResourceMultifactor Dimensionality Reduction (scikit-MDR)
March 5, 2023
by
Ray
A scikit-learn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction. This project is still under active development and we encourage you to check back on this repository regularly for updates. MDR is an effective feature construction algorithm that is capable of modeling higher-order interactions and capturing complex patterns in data sets. MDR currently only works with categorical features and supports both binary classification and regression problems. We are working on expanding the algorithm to cover more problem types and provide more convenience features.
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NCBO BioPortal
March 5, 2023
by
Ray
BioPortal is an open repository of biomedical ontologies that stores ontologies developed in various formats, that provides for automatic updates by user submissions of new versions, and that provides access via Web browsers and through Web services. This is a great place to explore and search for ontologies related to different types of data and fields of biomedical study.
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Neural Networks/ Deep Learning (StatQuest)
March 5, 2023
by
Ray
Neural Networks are one of the most popular Machine Learning algorithms, but they are also one of the most poorly understood. Everyone says Neural Networks are “black boxes”, but that’s not true at all. In this video I break each piece down and show how it works, step-by-step, using simple mathematics that is still true to the algorithm. By the end of this video you will have a deep understanding of what Neural Networks do.
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