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Good afternoon, </div>
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We would like to announce that we will be having our second Brown Bag Lecture Series talk with Dr. Daniel Leme on
<b>September 23rd at 12 PM</b>. The lecture will be held in the Pitch Room of the Innovation Hub. We will be serving a light lunch for those attending in person. </div>
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<b>Title: </b>Explainable Machine Learning Models for Healthy Aging: Investigating Social, Clinical, and Lifestyle Factors Using Population Data </div>
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<b>Abstract: </b>Healthy aging is a central public health issue with significant relevance for current and future social and healthcare planning, as maintaining an active and independent population is among the key goals for the coming decades, given the increasing
number of older adults. However, to gain a deeper understanding of where interventions should be targeted to ensure that people live longer and with a better quality of life, it is essential to comprehend what constitutes healthy aging, along with its social,
clinical, and lifestyle determinants, while acknowledging the inherent challenges in defining this concept. </div>
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In this context, Dr Daniel Leme and colleagues from the English Longitudinal Study of Ageing (ELSA) utilized population-based data from middle-aged and older adults to identify the key factors associated with healthy aging in the population. To this end, they
employed machine learning techniques; however, rather than focusing solely on the predictive performance of the algorithms in forecasting healthy aging, the researchers also prioritized the interpretability of the results. They demonstrated how social, clinical,
and lifestyle variables—such as income, anthropometric measurements, and healthy habits—exert both positive and negative influences on healthy aging over time. </div>
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This approach is particularly relevant, as interpretable machine learning models can enhance communication among researchers from diverse fields, healthcare professionals, and the broader public through more effective dissemination of findings.</div>
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<b>Bio: </b>Dr Daniel Leme is a physical therapist with both a master’s and a PhD in Gerontology. During his doctoral studies, he investigated multiple social, psychosocial, and clinical factors associated with frailty among community-dwelling older adults
in Brazil, with particular emphasis on sex differences between older men and women. In addition to working with population-based data in Brazil, he collaborated with the English Longitudinal Study of Ageing (ELSA) on projects aimed at predicting healthy aging
and future frailty in older adults in England, as well as examining the co-occurrence of malnutrition and frailty and its impact on adverse outcomes in a longitudinal framework. </div>
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He also held a postdoctoral position in Public Health at the University of Waterloo in Canada, where he contributed to projects exploring the use of antipsychotics in long-term care and their association with worsening behavior, as well as the prediction of
delays in hospital discharge. </div>
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Dr. Leme is currently a postdoctoral researcher at the Institute for Successful Longevity at Florida State University, where he is involved in projects investigating the role of social isolation and depressive symptoms in the relationship between physical activity
and mild cognitive impairment. Additionally, he is contributing to the LABGenie project, providing clinical and methodological support for the study of lab tests in older adults in the United States. </div>
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<b>To RSVP for in-person, use the link below:</b> </div>
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All the best,</div>
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<i>Nehja Guillaume </i></div>
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Administrative Assistant, Institute for Successful Longevity<br>
Florida State University<span style="color: black;"><br>
142 Collegiate Loop</span></div>
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<span style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 16pt; color: black;">Louis Shores Building, Room 266C<br>
Tallahassee, FL 32304</span></p>
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