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Seminars

TIGP (BIO)—Multimodal AI and Whole Genome Sequencing: Transforming Stroke and Dementia Care through Digital Twin Technology

  • 2024-10-29 (Tue.), 14:00 PM
  • Auditorium, B1F, Institute of Statistical Science. In-person seminar, no online stream available.
  • Delivered in English|Speaker bio: Please see the attachment below
  • Dr. Kai-Cheng Hsu
  • Biomedical Technology and Device Research Laboratories, Industrial Technology Research Institute

Abstract

The speech explores the groundbreaking integration of multimodal AI, whole-genome sequencing, and digital twin technology in the management of both stroke and dementia. Beginning with the concept of digital twins in healthcare, these virtual models of patients are created by aggregating extensive data, such as electronic medical records (EMR), medical imaging, and genetic information. This approach holds the potential to revolutionize patient care by enabling personalized and predictive treatment plans for neurodegenerative and cerebrovascular diseases.

 

The presentation delves into how big data informs the creation of digital twins, with a focus on both stroke and dementia patients. It highlights the role of whole-genome sequencing in generating comprehensive genetic profiles, which not only improve the prediction and detection of stroke but also provide early insights into dementia risk factors. This integrative approach is crucial for refining prevention strategies and tailoring therapeutic interventions.

 

For both stroke and dementia, genetic data serves as a powerful tool in forecasting individual risk. The speech emphasizes how multimodal AI enhances traditional assessment models by leveraging genetic, behavioral, and environmental data to predict and prevent disease onset with greater precision. The role of AI in medical imaging is also discussed, particularly its capacity to detect early signs of stroke and brain changes associated with dementia, enabling timely and more effective interventions.

 

The application of AIoT (AI and Internet of Things) in home healthcare is another key area. Wearable devices and smart monitoring systems allow for real-time tracking of both stroke recovery and cognitive decline in dementia patients. This continuous monitoring helps manage relapses, track disease progression, and optimize resource allocation, ultimately enhancing patient outcomes and quality of life.

 

By showcasing the immense potential of digital twin technology, the speech underscores how the integration of AI, genomics, and real-time monitoring can transform the prevention, detection, and treatment of stroke and dementia, marking a new era in personalized healthcare.

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2024-10-29_Dr. Kai-Cheng Hsu.pdf
Update:2024-10-22 10:38
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