Centre for Data Intensive Sciences and Applications

Welcome to Higher Research Seminar 240517

Postat den 17th April, 2024, 14:46 av Diana Unander

When? Friday May 17th 14-16
Where? Onsite: B1006 at Linnaeus University in Växjö and online
Registration: Please sign up for the PhD-seminar via this link https://forms.gle/yidY5w9CWFqbXgz38 by May 15th (especially important if you plan on attending onsite so we have fika for everyone)

14.00-14.10 Welcome and practical information from Welf Löwe
14.10-14.55 Presentation and discussion: Using AI in eHealth Research, Alisa Lincke
14.55 – 15.05 Coffee break
15.05 – 15.50 Presentation and discussion – Emerging Technologies for Preventive Healthcare, Hemant Ghayvat
15.50 -16.00 Sum up and plan for our next seminar on June 14th


Using AI in eHealth Research, Alisa Lincke
In this seminar, Dr. Alisa Lincke, Senior Lecturer at Linnaeus University, will share her research experience in eHealth over the past three years, conducted in collaboration with Kalmar eHealth Institute, Stockholm University, Uppsala University, Karolinska, and others. Three seed research projects will describe the process starting from writing seed application, ethical approval, data extraction, data analysis, and research outcome. You will get insights about the research process and challenges in eHealth research.

Emerging Technologies for Preventive Healthcare, Hemant Ghayvat
In the rapidly evolving world of healthcare, the integration of Artificial Intelligence (AI) and the Internet of Things (IoT) stands at the forefront of innovation, offering unprecedented opportunities to enhance patient care and outcomes. Our seminar delves into the transformative potential of these technologies in addressing some of the most pressing healthcare challenges, particularly in elderly care, mental health, and cardiac care. Through expert-led discussions, we will explore how AI’s predictive analytics can revolutionize elderly care by monitoring and managing chronic conditions, ensuring timely interventions, and promoting independent living. Similarly, in mental health, AI’s data-driven insights can personalize treatment plans and provide support, while IoT devices offer real-time monitoring and management solutions. For cardiac care, the combination of AI and IoT promises to improve diagnostics, treatment efficacy, and continuous patient monitoring, significantly reducing the risk of adverse events. Join us as we uncover the synergistic power of AI and IoT in crafting the future of healthcare, where technology empowers care providers to offer more precise, effective, and compassionate care across these critical areas.

Det här inlägget postades den April 17th, 2024, 14:46 och fylls under General

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