The Penn Artificial Intelligence and Technology Collaboratory for Healthy Aging (Penn AITech) at the University of Pennsylvania focuses on identifying, developing, evaluating, commercializing and disseminating innovative technology and artificial intelligence methods and software to support aging. The collaboratory is an initiative involving Penn’s School of Nursing, the Perelman School of Medicine, and other departments across the University of Pennsylvania funded by the National Institute on Aging (NIA), a part of the National Institutes of Health (NIH).

The Collaboratory Pilot Cores invite applications for pilot studies using technology and artificial intelligence (AI) to optimize care management and health outcomes for older Americans, including those with Alzheimer’s Disease and Related Dementias (ADRD) living in their homes independently, and those receiving clinical care or skilled home and community-based services.

The PennAITech pilot program solicits annually pilot studies that develop or test technology and AI to detect risk, predict needs, address disparities, improve access to care, and support decision making for chronic illness management and safe aging in place for older adults with or without ADRD and their caregivers. The pilots selected for funding receive guidance and mentoring from the PennAITech expert team.

In year three, through a competitive national grant review process, eleven applicants from academia, industry and health systems across the United States were selected for funding. The list of awardees selected for PennAITech funding include:

Total Year Three Awards: $2,583,609

• Pilot 1: Improved Algorithms for Wearable, Passive, Noninvasive BP Monitoring for Seniors (Investigators: Xina Quan and Keith C. Drake, PyrAmes)
• Pilot 2:  AI-powered Web Application to Analyze Knee Joint Space for Aging Population (Investigator: Soheyla Amirian, University of Georgia)
• Pilot 3: Task-Oriented Multimodal Conversational AI for Assisting Seniors with Daily Tasks (Investigator: Rui Zhang, Penn State University)
• Pilot 4:  Mobile Technology as a Cognitive Biomarker of Alzheimer’s Disease (Investigator:  Chun Lim, Beth Israel Deaconess Medical Center)
• Pilot 5:  Building Deep Digital Twins for Prediction of AD/ADR/MCI in Older Adults (Investigator: Mohammad H. Mahoor, DreamFace Technologies, LLC)
• Pilot 6:   Aliviado Dementia Care Machine Learning Algorithm Development for Caregiving (Investigator: Ab Brody, RN, FAAN, New York University)
• Pilot 7:  AI/ML Analyses of Mobility Changes Among Elderly Using Continuous Gait Data (Investigator: Nicholas Kalaitzandonakes, Foresite Healthcare)
• Pilot 8:  Developing a Home Cognitive Vital Sign to Detect Cognitive Changes AD (Investigator: Daniel Press, Beth Israel Deaconess Medical Center)
• Pilot 9:  Motor Function Assessment for Mild Cognitive Impairment, Frailty, and Fall Risk (Investigator: Trent M. Guess, University of Missouri)
• Pilot 10:  Detecting Cognitive Impairment Using Large Language Models from Speech (Investigator: Hualou Liang, Drexel University)
• Pilot 11:  MUSICARE-VR: Music Intervention with Virtual Reality for Alzheimer’s Care (Investigator: Xiaopeng Zhao, University of Tennessee, Knoxville)

“As our portfolio of funded projects continues to grow, we are excited about the potential of these new solutions to advance ways to support older adults and significantly improve the aging experience in the coming years,” said George Demiris, a Penn Integrates Knowledge Professor with joint faculty appointments in Penn Nursing’s department of biobehavioral health sciences and in the department of biostatistics, epidemiology, and informatics in Penn’s Perelman School of Medicine, and one of the principal investigators of PennAITech. “Our team is excited about these new collaborations and looking forward to supporting the new cohort of awardees.”

Jason Karlawish, a professor of medicine, medical ethics and health policy, and neurology, co-director of the Penn Memory Center and associate director of the Alzheimer’s Disease Research Center in the Perelman School of Medicine, and co-principal investigator of PennAITech, added, “PennAITech offers a nurturing environment for the implementation and evaluation of groundbreaking technologies and innovative approaches to aging. We are looking forward to providing our support to this group of awardees as they advance the development of their innovative solutions.”