“Transforming Diagnostics: Cutting-Edge AI, Machine Learning & Statistical Innovation in Laboratory Medicine and Health Diagnostics”
“Transforming Diagnostics: Cutting-Edge AI, Machine Learning & Statistical Innovation in Laboratory Medicine and Health Diagnostics”
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Thursday 29th , May 2025
10:55 AM – 2:05 PM (JST) / 08:55 AM – 12:05 PM (ICT)
Venue: Hybrid, Onsite at Yeh Kuo-Shii Global Friendship Center, Bunkyo Campus, Nagasaki University and Online via Zoom
Meeting ID: 919 8880 4192
Passcode: NUNU2025
10:55 – 11:00 AM (JST) / 08:55 – 09:00 AM (ICT)
Opening Remarks
Host: Asst. Prof. Dr. Kittisak Thawnashom, Department of Medical Technology, Faculty of Allied Health Sciences, IHaDS, Naresuan University, Thailand; NUGAN Ambassador.
11:00 – 11:30 AM (JST) / 09:00 – 09:30 AM(ICT)
(Includes 5-minute Q&A)
“Statistical Methods in Laboratory Diagnostics: A Deflation-Adjusted Bayesian Information Criterion for K-Means Clustering, and Application to Human Genetic Analysis”
Speaker: Prof. Dr. Masao Ueki, School of Information and Data Sciences, Nagasaki University, Japan.
11:30 – 12:00 PM (JST) / 09:30 – 10:00 AM (ICT)
(Includes 5-minute Q&A)
“AI and Deep Learning in Medical Image Analysis”
Speaker: Assoc. Prof. Dr. Muthu Subash Kavitha, School of Information and Data Sciences, Nagasaki University, Japan.
12:00 – 12:30 PM (JST) / 10:00 – 10:30 AM (ICT)
(Includes 5-minute Q&A)
“Integrating Machine Learning in Laboratory Diagnostic Processes: Experimental Design and the Effect of Data Preprocessing Techniques”
Speaker: Asst. Prof. Dr. Kittisak Thawnashom, Department of Medical Technology, Faculty of Allied Health Sciences, IHaDS, Naresuan University, Thailand.
12:30 – 1:00 PM (JST) / 10:30 – 11:00 AM (ICT)
(Includes 5-minute Q&A)
“Tree-Based Algorithms in Diagnostics: Decision Tree Modeling for Osteoporosis Screening in Postmenopausal Thai Women”
Speaker: Assoc. Prof. Dr. Pornsarp Pornsawad, Department of Mathematics, Faculty of Sciences, Silpakorn University, Thailand.
1:00 – 1:30 PM (JST) / 11:00 – 11:30 PM (ICT)
(Includes 5-minute Q&A)
“Bayesian Networks and Their Applications in Clinical Data Analysis: Survivability Modelling for Patients with First and Secondary Primary Cancers”
Speaker: Asst. Prof. Dr. Bunjira Makond, Prince of Songkla University, Trang Campus, Thailand.
1:30 – 2:00 PM (JST) / 11:30 – 12:00 PM (ICT) (Includes 5-minute Q&A)
Honored Guest Speaker: Asst. Prof. Dr. Thanapong Intharah, Department of Statistics, Faculty of Sciences, Khon Kaen University, Khon Kaen, Thailand.
“BiTNet: Hybrid deep convolutional model for ultrasound image analysis of human biliary tract and its applications”
[First runner-up prize at the ASEAN Digital Awards 2024 and a good invention award on Inventor Day, organized by the Thailand National Research Council for the fiscal year 2024.]
2:00 – 2:05 PM (JST) | 12:00 – 12:05 PM (ICT)
Summary & Closing Remarks
Host: Asst. Prof. Dr. Kittisak Thawnashom, Department of Medical Technology, Faculty of Allied Health Sciences, IHaDS, Naresuan University, Thailand
REGISTRATION 1st NUNU miniFORUM 2025
Prof. Dr. Masao Ueki
School of Information and Data Sciences, Nagasaki University, Japan.
“Statistical Methods in Laboratory Diagnostics: A Deflation-Adjusted Bayesian Information Criterion for K-Means Clustering, and Application to Human Genetic Analysis”
Assoc. Prof. Dr. Muthu Subash Kavitha
School of Information and Data Sciences, Nagasaki University, Japan.
“AI and Deep Learning in Medical Image Analysis”
Asst. Prof. Dr. Kittisak Thawnashom
Department of Medical Technology, Faculty of Allied Health Sciences, IHaDS, Naresuan University, Thailand.
“Integrating Machine Learning in Laboratory Diagnostic Processes: Experimental Design and the Effect of Data Preprocessing Techniques”
Assoc. Prof. Dr. Pornsarp Pornsawad
Department of Mathematics, Faculty of Sciences, Silpakorn University, Thailand.
“Tree-Based Algorithms in Diagnostics: Decision Tree Modeling for Osteoporosis Screening in Postmenopausal Thai Women”
Asst. Prof. Dr. Bunjira Makond
Prince of Songkla University, Trang Campus, Thailand.
“Bayesian Networks and Their Applications in Clinical Data Analysis: Survivability Modelling for Patients with First and Secondary Primary Cancers”
Asst. Prof. Dr. Thanapong Intharah
Department of Statistics, Faculty of Sciences, Khon Kaen University, Khon Kaen, Thailand.
“BiTNet: Hybrid deep convolutional model for ultrasound image analysis of human biliary tract and its applications”
Dr. Kittisak THAWNASHOM
Chair, 1st NUNU miniFORUM 2025
Assistant Professor, Department of Medical Technology and Interdisciplinary Health and Data Science Research Unit (IHaDS), Faculty of Allied Health Sciences,
Naresuan University, Phitsanulok, Thailand
Email : kittisakt@nu.ac.th
Tel. +66830159977
Dr. Muthu Subaah KAVITHA
Co-Chair, 1st NUNU miniFORUM 2025
Associate Professor, School of Information and Data Sciences, Nagasaki University,Japan
Email : kavitha@nagasaki-u.ac.jp
Dr. Taeko MORIYASU
Co-Chair, 1st NUNU miniFORUM 2025
Assistant Professor, NUGAN, Office for Global Relations,
Nagasaki University, Japan
Email : taeko_moriyasu@nagasaki-u.ac.jp