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Long Title: The Diagnostic Linchpin for Autoimmunity: Exploring the Anti-Nuclear Antibody (ANA) Testing Market Growth Driven by Chronic Disease Prevalence and Assay Technology Evolution

The Anti-Nuclear Antibody (ANA) Testing market is fundamental to the diagnosis and management of systemic autoimmune diseases, a group of chronic conditions including Systemic Lupus Erythematosus (SLE), Sjogren's syndrome, and Systemic Sclerosis. ANAs are autoantibodies that target components within the cell nucleus, and their presence serves as a crucial, initial screening biomarker for these complex disorders. The market’s robust growth is being fueled by the rising global incidence and greater clinical awareness of autoimmune diseases, which often present with vague, overlapping symptoms, making accurate and early diagnosis challenging. The gold standard method, Indirect Immunofluorescence (IIF) on HEp-2 cells, remains highly valued for its ability to visualize distinct fluorescent patterns (e.g., homogeneous, speckled, centromere), which can offer clues about the specific autoantibody present. Concurrently, the increasing demand…


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Polling: Generations in Attendance


What generation do you identify with?

  • Youth or young adult

  • Middle ages

  • Older adult


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The Future of Digital Health: Bridging Generations

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Aging Gracefully with Digital Health in the Silver Years

This session consists of three presentations:

  1. A Broad Overview of Digital Tools Utilized by Older Adults

  2. Artificial Intelligence, Mental Health and Aging: New Paradigms in Care

  3. ​Scaling Compassion: How AI-Powered Technology is Transforming Aging in Place 


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Stretching/Mindfulness Exercise

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Unlocking the Secrets of Wellness in Middle Ages with Digital Health Solutions: Theory and Application

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Youth Panel: Discussion Around Digital Technology

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Youth Chatting with Chatbots – The Good, the Bad, and the Ugly

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Below are some research articles you might be interested in. If you can’t access them because of a paywall, please email me (kelly.merrill@uc.edu) and I can share it:

Huang, S., Lai, X., Ke, L., Li, Y., Wang, H., Zhao, X., ... & Wang, Y. (2024). AI Technology panic—is AI dependence bad for mental health? A cross-lagged panel model and the mediating roles of motivations for AI use among adolescents. Psychology Research and Behavior Management, 1087-1102.

Hu, B., Mao, Y., & Kim, K. J. (2023). How social anxiety leads to problematic use of conversational AI: The roles of loneliness, rumination, and mind perception. Computers in Human Behavior, 145, 107760.

Zhang, S., Zhao, X., Zhou, T., & Kim, J. H. (2024). Do you have AI dependency? The roles of academic self-efficacy, academic stress, and performance expectations on problematic AI usage behavior. International Journal of Educational Technology in Higher Education, 21(1), 34.


The Impact of Lived Experiences on the Acceptability of Digital Health Tools

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Julie Cakici
17. Juni

Looking forward to seeing everyone tomorrow!

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