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.
View ResourcePenn Research Analytics Storefront
September 1, 2022
by
Nursing ITS
IBI, OCR, and Corporate IS have been working on the Penn Research Analytics Storefront, a catalogue, access instructions, and training materials for the various clinical research databases and databases, PennG&P/TriNetX, COVID i2b2, SlicerDicer, Penn Medicine BioBank. To access the storefront, one must either be on the UPHS network or PSOM VPN.
View ResourcePenn Translational Neuroscience Center (PTNC)
September 1, 2022
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Nursing ITS
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.
View ResourcePennAITech Home
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.
View ResourcePennAITech News and Events
March 5, 2023
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Ray
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 ResourcePRECISE
September 1, 2022
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Nursing ITS
The PRECISE (Penn Research In Embedded Computing and Integrated Systems Engineering) Center was established in 2008 to bring together experts from the electrical systems engineering and computer science fields to study the way machines interact with the physical world through their computing systems, aka Cyber-Physical Systems (CPS) and the Internet of Things (IoT). CPS and IoT work has a direct, powerful impact on healthcare, energy, and transportation – all essential and important facets of modern society.
View ResourcePredicting depression and burden in AD/ADRD caregivers by using machine learning to analyze clinician–caregiver interactions
September 15, 2025
by
Zixuan
Awardee Organization(s): University of Pennsylvania
Principal Investigator(s): Nancy A. Hodgson, PhD, RN, FAAN
Official Project Title: Using AI to predict depression & burden AD/ADRD caregiving conversations
AITC Partner: PennAITech
Website(s): https://www.nursing.upenn.edu/live/profiles/7116-nancy-hodgson
Clear communication between clinicians and caregivers of people living with dementia (PLWD) is essential to delivering quality dementia care. Objective, empirical assessment of these clinical communications can support the timely evaluation and management of care needs for PLWD and their caregivers but is currently too time-consuming and prone to clinician bias.
This is a secondary analysis of data collected during an implementation study evaluating the translation of an evidence-based dementia program. Conversational speech data from 125 hour-long (on average) sessions between clinicians and dementia caregivers along with repeat assessments of caregiver depression and burden will be leveraged to predict clinically meaningful treatment outcomes, (caregiver burden, depression and PLWD healthcare utilization) via a machine learning (ML) model.
The study aims to: 1) use an ML model to identify patterns in clinical conversations linked to dementia caregiver depression and burden, 2) detect patterns predicting PLWD healthcare utilization (e.g., 911 calls, hospitalizations) and 3) analyze ML outputs to enable early, targeted interventions. This third aim will be guided by an advisory group of healthcare providers and dementia caregivers. The results will demonstrate the potential of ML and data science to improve health outcomes for over 11 million U.S. dementia caregivers. The long-term goal is to develop a scalable technology-based intervention to address caregiver depression and burden, reduce costly care, and enhance quality of life.
Program 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.