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Good Afternoon Affiliates, </div>
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I hope this message finds you well. </div>
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We’re writing to inform you that the upcoming <b>Institute for Successful Longevity Brown Bag Lecture featuring Dr. Daniel Leme</b>, originally scheduled to be held in a hybrid format, will now be conducted <b>solely online</b>. This adjustment has been made
to ensure broader accessibility and participation across our network. The date and time will remain the same–
<b>Tuesday September 23rd at 12 PM</b>! </div>
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To update your registration/RSVP or register for the first time, please use the following link: </div>
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<span style="color: rgb(70, 120, 134);"><b><u><a style="color: rgb(70, 120, 134); margin: 0px;" rel="noreferrer noopener" class="Hyperlink SCXW233502393 BCX0 OWAAutoLink" id="OWA23fb9646-9ff2-b405-f12c-58843a3d8666" target="_blank" href="https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Ffsu.zoom.us%2Fmeeting%2Fregister%2FmE5X0mLGQcWvu4zddaoTfg&data=05%7C02%7Cisl%40lists.fsu.edu%7C16823f0857174dc8312d08ddfa0830b6%7Ca36450ebdb0642a78d1b026719f701e3%7C0%7C0%7C638941635255413548%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=SrAXMBcKe9irlEnWaPARaw1qB8vFFpuysU4C%2FVCYnK0%3D&reserved=0" originalsrc="https://fsu.zoom.us/meeting/register/mE5X0mLGQcWvu4zddaoTfg">https://fsu.zoom.us/meeting/register/mE5X0mLGQcWvu4zddaoTfg</a></u></b></span><span style="color: rgb(0, 0, 0);"> </span></div>
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<b>As a reminder:</b> </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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We’re excited about the opportunity to connect virtually and continue fostering meaningful discussions. Please feel free to share this update with your students and encourage them to register and attend. </div>
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If you have any questions or need further information, don’t hesitate to reach out. </div>
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Warm Regards,</div>
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<b>The ISL Team</b> </div>
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