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The talks today brought out insight into the theory of resilience, based on historical concepts of aging. The focus was on connecting these concepts to human clinical conditions, and how to measure resilience based on response to artificial as well ass naturl sressors
Several specific questions are of interest. The concept of protective factors was presented but how these protctive factorws would actually be measured is of great interest. A second question is the challenge of how to define the variation that would separate out resilience snd nonresilience. A third question is hwo to address the epigencitc impact that environemtn might have on resilience, or lack of resilience.
The multiscale modeling concept is of interest to apply to mouse studies, since it could enable preliminary study data with a more structured format that would provide more translational impact. It would be especially of interest to pursue multiscale sublevel interactions in relation to data already generated to see if future effort would be productive.
One of the points of the second day was the global view of social networks and how interactions and connections could be viewed as resilience models. In addition, clinical and preclinical presentations were made that showed ways of aligning more naturally occurring stressors with stress situations at the population or ecosystem levels. An indepth discussion on how to develop markers of resilience in humans was very productive, but uncertain what the next steps will be. More discussion after my talk on mouse modeling was informative as to the potential of applying specific stressors to predict resilience to aging in mice to clinical situations. Dual tasks assessments in people are currently being done to determine risk for such things as Alzheimers dementia, and other age related conditions. A focus should be to to connect these with other healthy aging paramters to determine variation and risk for developing age-related conditions.