The PI’s research team will use a human-centered approach to design, build, and evaluate conversational care technologies that scaffold meaningful care discussions between older adults and their informal caregivers
Awardee Organization(s): University of Michigan
Principal Investigator(s): Robin Brewer, PhD
Official Project Title: Conversational Care Technologies
AITC Partner: PennAITech
Website(s): www.umich.edu, www.si.umich.edu
Designing Usable Technologies for Older Adults via Data-Driven Whole-Person User Personas
Using machine learning to create data-driven user personas for the design of usable technologies for older adults
Awardee Organization(s): University of Minnesota
Principal Investigator(s): Robin Austin, PhD, DNP, DC, RN-BC
Official Project Title: Designing Usable Technologies for Older Adults via Data-Driven Whole-Person User Personas
AITC Partner: PennAITech
Website(s): www.nursing.umn.edu
Detecting Respiratory Distress in Patients with Advanced AD/ADRD Using Radio Sensors
AI-enabled near-field coherent sensing (NCS) radio sensors to detect respiratory distress for advanced AD/ADRD patients who are unable to self-report
Awardee Organization(s): Weill Cornell Medicine
Principal Investigator(s): Veerawat Phongtankuel, MD
Official Project Title: Detecting Respiratory Distress in Patients with Advanced AD/ADRD Using Radio Sensors
AITC Partner: PennAITech
Website(s): www.weill.cornell.edu
Feasibility of Digital Monitoring to Detect Autonomic Markers of Empathy Loss in bvFTD
Wearable sensors capturing digital autonomic biomarkers to detect empathy loss for frontotemporal dementia (bvFTD)
Awardee Organization(s): University of Pennsylvania Frontotemporal Degeneration Center
Principal Investigator(s): Emma Rhodes, PhD
Official Project Title: Feasibility of Digital Monitoring to Detect Autonomic Markers of Empathy Loss in bvFTD
AITC Partner: PennAITech
Website(s): www.med.upenn.edu/ftd
Leveraging Patient Portals to Support Caregivers
Using natural language processing to create an AI-based algorithm from EMR data to identify non-traditional caregivers who might benefit from dyadic interventions
Awardee Organization(s): University of Colorado | Kaiser Permanente
Principal Investigator(s): Jennifer Portz, PhD
Official Project Title: Leveraging Patient Portals to Support Caregivers
AITC Partner: PennAITech
Website(s): www.medschool.cuanschutz.edu/general-internal-medicine, www.kpco-ihr.org
Patient-Surrogate Alignment in Digital Advance Care Planning
AI-based advanced care planning platform to align surrogate decision makers to improve end-of-life care
Awardee Organization(s): Koda Health
Principal Investigator(s): Desh Mohan, MD
Official Project Title: Patient-Surrogate Alignment in Digital Advance Care Planning
AITC Partner: PennAITech
Website(s): www.kodahealthcare.com
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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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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.
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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.
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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.
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