You can download our latest newsletter here. We are launching our webinar series for this academic year. The purpose of this webinar is to foster a dialogue exploring clinical, ethical and technological opportunities and challenges associated with the use of technology to promote aging, and to introduce different perspectives at the intersection of informatics and gerontology.
View ResourcePennAITech Resources
March 5, 2023
by
Ray
The overarching goal of the Technology Identification and Training Core is to use evidence from the literature, stakeholder and expert inputs to identify the technology needs of older Americans, as well as develop training activities for artificial intelligence (AI) and technology for scientists, engineers, clinicians, medical professionals, patients, policy makers, and investors.
View ResourcePennAITech Youtube Channel
March 5, 2023
by
Ray
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. We share PennAITech videos (e.g., webinars, call for applications) in this youtube channel.
View ResourceProgram for Diversity and Inclusion (PDI)
March 5, 2023
by
Ray
The Office of Academic Success, Community Engagement, Networking and Development
Operating within the Academic Programs Office, ASCEND supports PSOM medical students with tailored resources, mentorship, and community connections to enhance learning and career development. Through coaching, hands-on experiences, and specialized opportunities, we empower students to excel in clinical and academic medicine while shaping their unique professional identities.
Random Forests (StatQuest)
March 5, 2023
by
Ray
Random Forests make a simple, yet effective, machine learning method. They are made out of decision trees, but don’t have the same problems with accuracy. In this video, I walk you through the steps to build, use and evaluate a random forest.
View ResourceRelief-based Algorithm Training Environment (REBATE)
March 5, 2023
by
Ray
This package includes a scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning. These Relief-Based algorithms (RBAs) are designed for feature weighting/selection as part of a machine learning pipeline (supervised learning). Presently this includes the following core RBAs: ReliefF, SURF, SURF*, MultiSURF*, and MultiSURF. Additionally, an implementation of the iterative TuRF mechanism and VLSRelief is included. It is still under active development and we encourage you to check back on this repository regularly for updates. These algorithms offer a computationally efficient way to perform feature selection that is sensitive to feature interactions as well as simple univariate associations, unlike most currently available filter-based feature selection methods. The main benefit of Relief algorithms is that they identify feature interactions without having to exhaustively check every pairwise interaction, thus taking significantly less time than exhaustive pairwise search.
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Religious Orders Study
April 11, 2023
by
Ray
The Religious Orders Study is a collaborative study with Rush and other U.S. medical centers. It involves more than 1,100 older religious clergy (nuns, priests and brothers) who have agreed to medical and psychological evaluation each year and brain donation after death. Researchers are using information from the study to discover what changes in the brain are responsible for memory and movement problems. The study also looks closely at the transition from normal functioning of the aging brain to the mild cognitive impairment that can be an early sign of Alzheimer’s disease.
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Rule-Based Machine Learning
March 5, 2023
by
Ray
A collection of educational videos focusing on rule-based machine learning and/or the more specific family of ‘learning classifier system’ machine learning algorithms. These algorithms are uniquely able to detect, model, and characterize complex multivariate associations in data while yielding much more interpretable models.
View ResourceRxNorm
March 5, 2023
by
Ray
RxNorm provides normalized names for clinical drugs and links its names to many of the drug vocabularies commonly used in pharmacy management and drug interaction software, including those of First Databank, Micromedex, Multum, and Gold Standard Drug Database. By providing links between these vocabularies, RxNorm can mediate messages between systems not using the same software and vocabulary.
View ResourceSemi-automated Term Harmonization Pipeline
March 5, 2023
by
Ray
This repository includes a set of Python-based Jupyter notebooks that comprise a semi-automated term harmonization pipeline applied to harmonize medical history terms across 28 clinical trials of pulmonary arterial hypertension. These notebooks pair with the paper ‘A Semi-Automated Term Harmonization Pipeline Applied to Pulmonary Arterial Hypertension Clinical Trials’. Below, we offer an overview of these pipelines and provide guidance for users on how to adapt these notebooks to their own target harmonization tasks.
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