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<p class="MsoNormal"><span style="font-size:11.0pt">Dear ISL affiliates,<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">The Institute for Successful Longevity at Florida State University, in collaboration with <i>Healthcare</i>, is pleased to announce a Special Issue on “Smart Medicine for Older Adults” in Healthcare (IF: 2.4,
<a href="https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.mdpi.com%2Fjournal%2Fhealthcare%2Fspecial_issues%2F9M5952KAF3&data=05%7C02%7Cisl%40lists.fsu.edu%7C60a2e3a4ef6c4aaaa5f608dca0fd56cb%7Ca36450ebdb0642a78d1b026719f701e3%7C0%7C0%7C638562257137071005%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=P8yGHsxMysRlIC8JgakP3cfj7pXbb47Hu5QVzdpvThI%3D&reserved=0" originalsrc="https://www.mdpi.com/journal/healthcare/special_issues/9M5952KAF3" shash="wTHkaHB1bkGZyaYCJ4UO47BMrnQUzgwXCOjb4JWflmM8XIYrWRDXzz90GIbHC7jaSxchtUBKH6JKs6HiRbIsBT1E18TMo47hfh9ON6Qfv8j6xMI/P+4BVh0gnW5/okFn7jeLnOncgbALQSCNepfSS+Zqrjb60DBMNKSK+1VIssU=">
https://www.mdpi.com/journal/healthcare/special_issues/9M5952KAF3</a>). This Special Issue aims to explore innovative research and developments in the application of smart medicine to enhance the health and well-being of older adults.
<b>If you would like to contribute an article to this special issue or serve as a co-editor if you have relevant expertise, please let me know.
<o:p></o:p></b></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:11.0pt">This is further information about this issue:<o:p></o:p></span></b></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">Aging populations are increasing globally, presenting unique challenges and opportunities for healthcare. Smart medicine, encompassing advanced technologies such as artificial intelligence (AI), machine learning,
data analytics, and digital health solutions, holds significant promise in addressing these challenges. This Special Issue seeks to highlight cutting-edge research and practical applications that leverage these technologies to improve healthcare outcomes,
promote independence, and enhance the quality of life for older adults.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">Smart medicine is poised to revolutionize healthcare for older adults in several key ways:<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<ol style="margin-top:0in" start="1" type="1">
<li class="MsoNormal" style="mso-list:l0 level1 lfo1"><b><span style="font-size:11.0pt">Personalized Care:</span></b><span style="font-size:11.0pt"> Smart medicine leverages artificial intelligence (AI) and machine learning to analyze vast amounts of health
data, enabling personalized treatment plans tailored to the unique needs of each individual. By considering genetic, environmental, and lifestyle factors, smart medicine can provide targeted interventions that improve health outcomes and enhance the quality
of life.<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1"><b><span style="font-size:11.0pt">Proactive Health Management:</span></b><span style="font-size:11.0pt"> Advanced predictive analytics and remote monitoring technologies allow for the early detection of
potential health issues before they become critical. Wearable devices, smart sensors, and telehealth platforms can continuously monitor vital signs and other health indicators, alerting healthcare providers and caregivers to any concerning changes. This proactive
approach helps prevent hospitalizations and manage chronic conditions more effectively.<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1"><b><span style="font-size:11.0pt">Enhanced Accessibility and Convenience:</span></b><span style="font-size:11.0pt"> Telemedicine and digital health solutions make healthcare more accessible to older adults,
especially those with mobility limitations or those living in remote areas. Virtual consultations, remote diagnostics, and online health management tools enable older adults to receive timely medical care without the need for frequent travel, thus reducing
the burden on both patients and healthcare systems.<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1"><b><span style="font-size:11.0pt">Support for Independence:</span></b><span style="font-size:11.0pt"> Smart home technologies and assistive devices empower older adults to maintain their independence and
live safely in their own homes. Innovations such as fall detection systems, automated medication dispensers, and voice-activated assistants can support daily activities and provide peace of mind to both older adults and their families.<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1"><b><span style="font-size:11.0pt">Improved Cognitive Health:</span></b><span style="font-size:11.0pt"> Technologies designed to support cognitive health can help in the early diagnosis and management of
cognitive decline and dementia. AI-driven tools can analyze patterns in speech, behavior, and other cognitive functions, providing early warnings and enabling timely interventions. Additionally, cognitive training apps and games can help in maintaining and
even improving cognitive functions.<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1"><b><span style="font-size:11.0pt">Cost-Effective Solutions:</span></b><span style="font-size:11.0pt"> By enhancing efficiency and reducing the need for acute care, smart medicine can lower healthcare costs.
Remote monitoring and telehealth can decrease the frequency of hospital visits, and predictive analytics can help in optimizing resource allocation within healthcare systems.<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1"><b><span style="font-size:11.0pt">Data-Driven Insights:</span></b><span style="font-size:11.0pt"> The integration of big data analytics in healthcare allows for a deeper understanding of aging processes
and population health trends. This data-driven approach can inform policy-making, improve clinical guidelines, and facilitate the development of new therapies and interventions.<o:p></o:p></span></li></ol>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<div>
<div>
<p class="MsoNormal"><b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:none">Scope and Topics<o:p></o:p></span></b></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:none"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:none">We invite researchers, clinicians, and practitioners to submit original research articles, reviews, case studies, and perspectives that address various aspects
of smart medicine for older adults. Topics of interest include, but are not limited to, the following:<o:p></o:p></span></p>
<ul style="margin-top:0in" type="disc">
<li class="MsoNormal" style="mso-list:l1 level1 lfo2"><b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:none">AI and Machine Learning in Geriatric Care</span></b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:none">:
AI and machine learning algorithms to predict, diagnose, and treat age-related conditions.<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l1 level1 lfo2"><b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:none">Telemedicine and Remote Monitoring</span></b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:none">:
Innovations in telehealth, remote patient monitoring, and virtual care models tailored for older adults.<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l1 level1 lfo2"><b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:none">Wearable and Assistive Technologies</span></b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:none">:
Wearable devices, smart sensors, and assistive technologies to support daily living and health monitoring.<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l1 level1 lfo2"><b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:none">Data Analytics and Predictive Modeling</span></b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:none">:
The use of big data analytics to understand aging patterns, predict health outcomes, and personalize treatment plans.<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l1 level1 lfo2"><b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:none">EHR Integration and Interoperability</span></b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:none">:
Enhancements in electronic health records (EHR) systems to better serve the elderly population, focusing on interoperability and usability.<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l1 level1 lfo2"><b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:none">Digital Health Interventions</span></b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:none">:
Evaluation of digital health tools, mobile health apps, and online platforms designed to improve health behaviors and outcomes in older adults.<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l1 level1 lfo2"><b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:none">Smart Home Technologies</span></b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:none">:
Development and assessment of smart home environments that enhance safety, mobility, and independence for older adults.<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l1 level1 lfo2"><b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:none">Cognitive Health Technologies</span></b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:none">:
Innovations in technologies aimed at maintaining and improving cognitive health, including tools for early detection and management of cognitive decline.<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l1 level1 lfo2"><b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:none">Patient Engagement and Empowerment</span></b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:none">:
Strategies and technologies to engage older adults in their healthcare, promoting self-management and active participation.<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l1 level1 lfo2"><b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:none">Ethical and Privacy Considerations</span></b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:none">:
Addressing ethical, legal, and privacy concerns related to the use of smart technologies in elderly care.<o:p></o:p></span></li></ul>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:none"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:none">Manuscript Submission Information<o:p></o:p></span></b></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:none"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:none">Manuscripts should be submitted online at <a href="https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.mdpi.com%2F&data=05%7C02%7Cisl%40lists.fsu.edu%7C60a2e3a4ef6c4aaaa5f608dca0fd56cb%7Ca36450ebdb0642a78d1b026719f701e3%7C0%7C0%7C638562257137071005%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=5Fo10iK7S1NnbKzuH%2Fzq3ZgL8U5aUnrIgSvY5UVDlpo%3D&reserved=0" originalsrc="https://www.mdpi.com/" shash="v3DVyxWeZorjPnswmZFl1UMDOyItPZt87IpnKw+MGrn44iudu/5MnmA0WWP4X3UcrMNCtMBH+PqbykNiLHg6YchZf2tlojEodzwqr0En7c9vCLGPZ4KHRR8yXNpccPuLqIoi5XYYFNR9C3aG7NDRMZyXm5O49artRKJM2bIbP0k="><b>www.mdpi.com</b></a> by <a href="https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.mdpi.com%2Fuser%2Fregister%2F&data=05%7C02%7Cisl%40lists.fsu.edu%7C60a2e3a4ef6c4aaaa5f608dca0fd56cb%7Ca36450ebdb0642a78d1b026719f701e3%7C0%7C0%7C638562257137227209%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=iixcVnUlxDhGk2d2TEQqXEw%2BHCeTBNrdMaunJaI%2Foo4%3D&reserved=0" originalsrc="https://www.mdpi.com/user/register/" shash="MJowJoKMP85frA3Kg7lAYmUrspUkClxsQxi+54ZQAJvkWnPXOShBPhrSL17lN00yylbOyp55UGuQi+NEuYIs3MvNR6kGFFjV/nR3JuQ7V4zbz1DQRAfBaCgEYoky4PCU9Co+SAhtXdOkEFVdFueyA6lAtjZJGZqRB+RtVUtKKyc="><b>registering</b></a> and <a href="https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.mdpi.com%2Fuser%2Flogin%2F&data=05%7C02%7Cisl%40lists.fsu.edu%7C60a2e3a4ef6c4aaaa5f608dca0fd56cb%7Ca36450ebdb0642a78d1b026719f701e3%7C0%7C0%7C638562257137227209%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=%2BUqIPs9BX4ZH3pi1mxMyS9%2F3ST3%2F1grSqqBr8bdtleI%3D&reserved=0" originalsrc="https://www.mdpi.com/user/login/" shash="gc+D0Rh/WpL4XTLTgEsiSzuE205bYlx96j9Cg8MxxogrUCOVEC1lwIuZBqB4wqFxdW92Q1Jj/ZsiTiXpY6uDqckPCyY1j2hqB4H4Fnk6IL/srjOrnVMl8PMtPVDjnkguy5TIDgifWUVkhIJ5Uq+xpbpY8zOzd9J5vyUpsPLCNLU="><b>logging
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on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:none">Best<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:none">Zhe<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Cambria",serif;color:#782F40;mso-ligatures:none"> </span><b><span style="font-size:11.0pt;font-family:"Cambria",serif;color:#782F40;mso-ligatures:none">Zhe He, PhD, FAMIA</span></b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:none"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Cambria",serif;color:black;mso-ligatures:none">Interim Director, Institute for Successful Longevity (Administrative Assistant: Nehja Guillaume [<a href="mailto:ng24k@fsu.edu"><span style="color:#0563C1">ng24k@fsu.edu</span></a>])<br>
Associate Professor, School of Information</span><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:none"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Cambria",serif;color:black;mso-ligatures:none">Director of UF-FSU Clinical and Translational Science Award Biostatistics, Informatics, and Research Design Program (UF-FSU CTSA BIRD)</span><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:none"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Cambria",serif;color:black;mso-ligatures:none"><br>
Florida State University<br>
142 Collegiate Loop</span><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:none"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Cambria",serif;color:black;mso-ligatures:none">Louis Shores Building, Room 271<br>
Tallahassee, FL 32306</span><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:none"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Cambria",serif;color:black;mso-ligatures:none">C: 646.789.3008</span><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:none"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Cambria",serif;color:black;mso-ligatures:none">P: 850.644.5775</span><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:none"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Cambria",serif;color:black;mso-ligatures:none">Website: <a href="https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsites.google.com%2Fsite%2Fhenryhezhe2003&data=05%7C02%7Cisl%40lists.fsu.edu%7C60a2e3a4ef6c4aaaa5f608dca0fd56cb%7Ca36450ebdb0642a78d1b026719f701e3%7C0%7C0%7C638562257137227209%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=6THvEmAS6I%2FnOs6GR%2BlaD8%2BBd83Eb9wPOncfgNNE%2Bj8%3D&reserved=0" originalsrc="https://sites.google.com/site/henryhezhe2003" shash="IfY1Ym6wCx49BGfvplKm7g45MPKHqSNQvDstte3QailjAf0mSUmj6cZpKUE+Ndgy689OXTZ3QaDCb9/Hj/z5bqVsYk4IfGaFZlwQiF3uFc/LhBclua5/V8vGiIAkyrwKD0V9Mz/4DfMT3YgjPUSFRsEIuYi5B5rYu879DJtBftg=" title="https://sites.google.com/site/henryhezhe2003"><span style="color:#0078D7">https://sites.google.com/site/henryhezhe2003</span></a></span><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:none"><o:p></o:p></span></p>
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