Event Date
Seminar Theme
Location
December 31, 2025
November 22, 2025
November 18, 2025
October 3, 2025
August 27, 2025
August 16, 2025
July 26, 2025
March 22, 2025
March 8, 2025
09:00-17:00
November 9, 2024
09:00-16:30
Academic Lecture by Professor Josephine Ni
Taiwan Microbiome Alliance – Microbiome Technology Workshop
Academic Lecture by Professor Dong Van Quyen
Academic Lecture by Professor Hirotada Mori
University of Malaya International Academic Exchange Activity
2025 International Symposium on Translational Research in Liver Cancer
Forum on Moving from Traditional to Next-Generation Probiotics and Live Biotherapeutic Products Industry
Training Course and Latest Updates on Fecal Microbiota Transplantation (FMT)
Microbiome Samples with Difficulty in Nucleic Acid Isolation” – Microbiome Technology Workshop
Room 101, Shou-Ren Building, Yangming Campus, National Yang Ming Chiao Tung University
Lecture Hall, Interdisciplinary Technology Research Building, Academia Sinica
Room 320, Shou-Ren Building, Yangming Campus, National Yang Ming Chiao Tung University
Room 320, Shou-Ren Building, Yangming Campus, National Yang Ming Chiao Tung University
Room 320, Shou-Ren Building, Yangming Campus, National Yang Ming Chiao Tung University
Ying-Tsai Hall, Shou-Ren Building, Yangming Campus, National Yang Ming Chiao Tung University
Room 402 (A+B), 4F, Hall 1, Taipei Nangang Exhibition Center
Conference Room 101, College of Medicine, National Taiwan University
Second International Conference Hall, B1 Conference Area, General Medicine Building, Chiayi Chang Gung Memorial Hospital
1F Lecture Hall, Interdisciplinary Technology Research Building, Academia Sinica
Publication Date
November 24, 2024
Title
Congratulations to Professor Chun-Ying Wu and colleagues on their article, “Automatic localization and deep convolutional generative adversarial network-based classification of focal liver lesions in computed tomography images: A preliminary study,” being published in the Journal of Gastroenterology and Hepatology.
Abstract
This study developed a deep learning–based **liver lesion localization and classification (DLLC)** system designed to assist physicians in interpreting focal hepatic lesions on CT images. The system achieved a mean average precision of **0.81** for lesion localization and a classification accuracy of **0.97**. Its accuracy was **0.83** for lesions with a diameter of less than 3 cm and **0.87** for lesions larger than 3 cm. This system provides an accurate and noninvasive diagnostic approach that is of significant value to hepatologists and radiologists.
October 22, 2024
July 30, 2024
Congratulations to Associate Professor Li-Lin Liang and colleagues on their article, “The Role of Digital Health Under Taiwan’s National Health Insurance System: Progress and Challenges,” being published in *Health Systems and Reform.
Digital health encompasses the application of digital technologies in the medical field and plays a crucial role in improving the accessibility, quality, and efficiency of healthcare services. This study examines digital health under Taiwan’s National Health Insurance system, particularly its impact during the COVID-19 pandemic, with a focus on big data management and analytics (such as MediCloud and My Health Bank/NHI Mobile Easy Access) as well as innovative service models (such as telemedicine). The findings indicate that individuals with higher incomes and those with chronic or severe illnesses are more likely to use telemedicine, and the study highlights the challenges of digital trust and the digital divide.
This study investigates the effects of short-chain fatty acids (SCFAs) on the skin phenotype, systemic inflammation, and gut microbiota of mice with psoriasis-like disease. Imiquimod (IMQ)-treated mice were used as a model, and a genomics approach was employed to analyze the effects of SCFAs or anti–IL-17 antibody on skin thickness, inflammatory markers, and fecal microbiota. The results showed that SCFAs improved IMQ-induced skin thickening, splenomegaly, and serum IL-17F levels, with effects comparable to anti–IL-17 therapy. SCFAs also increased microbial diversity and altered the composition of the gut microbiota, suggesting their involvement in processes such as carbohydrate degradation and phenylalanine metabolism.
