Workshop on Intelligent Computing for Medical Data Analysis 2023 (WICMDA 2023)
July 13th, 2023 (GMT+12)
Faculty of Medical and Health Sciences and Bioengineering Institute, University of Auckland
Alan Wang is a principal investigator and Associate Professor at University of Auckland. He has more than ten years of research experience in bioengineering informatics and integrated medicine, especially in advancing the role of medical informatics in health care. His research interests include bioengineering, data informatics, neurocomputing, and biomedical statistics and simulation. He has developed medical data analytics methods for mobile health and personalized diagnosis and prognosis based on intelligent computing theories. He has experience analyzing huge cohorts of patient data with applications of early diagnosis, disease understanding, and effective treatment of patients with different disorders. He serves as an Editorial Board Member and an Active Reviewer for several international journals.
Background:
Intelligent Computing for Medical Data Analysis (ICMDA) is playing an increasingly important role in medical informatics and the healthcare system, especially after the booming of deep learning. ICMDA can reveal diagnostically valuable knowledge from multidimensional and multimodal medical data, providing fast, accurate, and helpful guidance for the diagnosis/prognosis of different diseases. With the rapid development of artificial intelligence and parallel computing, ICMDA involves multidisciplinary technologies such as radiology, pathology, computer science, artificial intelligence, machine learning, image processing, pattern recognition, computer vision, statistics, informatics, and visualization. It can automatically and intelligently extract valuable information from big medical data and combines prior knowledge to improve clinical performance.
Goal/Rationale:
Workshop on Intelligent Computing for Medical Data Analysis 2023 aims to bring together medical doctors, scientists, engineers, and students to discuss the latest advances in interdisciplinary research on AI for medical data analysis with clinical applications using machine learning and artificial intelligence techniques/methods. This workshop is designed to introduce Artificial Intelligence methods and connect them with applications at the University of Auckland that can leverage AI in research, such as early diagnosis of neurodegenerative diseases, intelligent computing for cancer data, stroke prediction and precision rehabilitation, etc.
Scope and Information for participants
Detailed research topics include, but are not limited to:
The Workshop on Intelligent Computing for Medical Data Analysis is an informative and interactive event dedicated to exploring the utilization of intelligent computing techniques in the analysis of medical data. This workshop, scheduled for Thursday, 13th July 2023, from 14:00 to 16:00, will take place at The University of Auckland's Grafton Campus, specifically in Room 505-212 and will be accessible remotely via Zoom.
The workshop aims to bring together researchers, practitioners, and experts from the fields of intelligent computing, medical research, and healthcare. The primary objective is to foster knowledge sharing, collaboration, and innovation in the application of intelligent computing to analyze medical data, with a particular focus on its potential impact on enhancing healthcare outcomes. Throughout the workshop, attendees will have the opportunity to delve into the latest advancements and trends in intelligent computing techniques tailored to medical data analysis. The agenda features speakers who will present their insights and research findings. Topics include deciphering the intricate structure-function relationship of gut pacemaker cell networks, fMRI data analysis for predicting post-stroke recovery outcomes, connectivity analysis to aid stroke recovery prediction, and multiband fMRI data analysis for ADHD. Each presentation promises to shed light on the application of intelligent computing in the respective medical domains.
The workshop agenda also includes dedicated time for discussions, providing a platform for participants to exchange ideas, share their experiences, and engage in meaningful conversations. The interactive nature of the workshop encourages collaboration and the exploration of innovative approaches to medical data analysis. By the end of the workshop, participants will have gained a deeper understanding of how intelligent computing can be harnessed to analyze medical data. They will be equipped with knowledge about the potential applications and benefits of intelligent computing in enhancing healthcare outcomes, diagnosis, and personalized medicine. Moreover, the workshop offers a unique opportunity for networking and fostering collaborations, driving progress in the field of intelligent computing for medical data analysis.
CONF-CDS 2023 Workshop -- Auckland - YouTube
Grafton Campus, The University of Auckland, Auckland 1023, New Zealand
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