Resources

students in lab

The Johns Hopkins Artificial Intelligence and Technology Collaboratory for Aging (JH AITC) offers access to nationally recognized research expertise and infrastructure that can help optimize pilot proposals.

Please contact [email protected] for more information about these resources.

Clinical and Stakeholder Research Resources

Clinical and Stakeholder Research Resources

  • Access to older adults for human subjects research in a wide variety of clinical settings, including outpatient clinics, hospital settings, and home bound settings
  • A registry of over 800 older adults living independently in the Baltimore metropolitan area willing to be contacted for participation in relevant studies
  • A team of experienced research coordinators who can help develop and initiate studies involving older adults across clinical settings
  • Space on the Johns Hopkins Bayview Medical Campus in Baltimore, MD for clinical and technology research that involves human subjects
  • Facilitation of access to health care data bases that can be utilized for the development of technologies or uses of AI
  • Access to human subjects in underserved urban and rural communities through partnerships with the Veterans Rural Health Resource Centers in Iowa, and in Baltimore, Maryland
  • Access to older adult stakeholders, including those in rural and urban settings, who can provide feedback on emerging uses of AI and technologies. This includes access to trained research staff who can help develop and lead stakeholder research.

Engineering Resources

Engineering Resources

  • Consultation with JH AITC funded investigators working in the Laboratory for Computational Sensing and Robotics, the Malone Center for Engineering in Health Care, the Artificial Intelligence for Engineering and Medicine Lab, the Center for Imaging Science and the Center for Language and Speech Processing
  • Guidance on evaluation plans
  • Funding and space for creating prototypes
  • AI/data-science expertise
  • Consultation with Artificial Intelligence for Engineering and Medicine (AIEM) for domain adaptation of machine learning algorithms and systems, bias detection and mitigation and protecting machine learning/AI systems against adversarial attacks.

Data and Data Platform Access

Data and Data Platform Access

  • Access to use of the Precisions Medicine Analytics Platform (PMAP) Data Commons, a secure research environment for analysis of Hopkins based clinical data sets by pilot teams and data scientists
  • High performance computing, highly reliable data storage, and outstanding collaborative scientific support to empower computational research, scholarship, and innovation available through Maryland Advanced Research Computing Center (MARCC)
  • Access to programs that assist in the mining of “big data” related to health care of older adults that can be utilized for example, to identify geriatric frailty, dementia, and many other conditions
  • Data organization and vetting for us in the development of specific engineered and AI related products meant to improve the health and well-being of older adults
  • Access to a common platform for disparate data consolidation and integration
  • Harmonization of data elements

Networking and Mentoring Opportunities

Networking and Mentoring Opportunities

  • Access to industry, government, and academic key opinion leaders to facilitate the advancement of science relevant to the health and well-being of older adults
  • Access to training opportunities, including a portfolio of online materials on key aspects of AI and aging
  • Networking opportunities with business and resources providers to facilitate discovery commercialization
  • Access to Baltimore-based spaces for in-person team meetings, brainstorming and grant development feedback, launchpad and pitch events
  • Access to business consulting services through the Carey Business School
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