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Congratulations to Professor Chun-Ying Wu and colleagues on the publication of “Automatic Localization and Deep Convolutional Generative Adversarial Network-Based Classification of Focal Liver Lesions in Computed Tomography Images: A Preliminary Study” 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 local liver lesions in CT images. The system achieved an average localization precision of 0.81 and a classification accuracy of 0.97, with an accuracy of 0.83 for lesions smaller than 3 cm and 0.87 for lesions larger than 3 cm. This system provides an accurate and non-invasive diagnostic approach, offering significant value to hepatologists and radiologists.

Congratulations to Associate Professor Li-Lin Liang and colleagues on the publication of “The Role of Digital Health Under Taiwan’s National Health Insurance System: Progress and Challenges” in Health Systems and Reform.

Congratulations to Professor Chun-Ying Wu and colleagues on the publication of “Short-chain fatty acids ameliorate imiquimod-induced skin thickening and IL-17 levels and alter gut microbiota in mice: a metagenomic association analysis” in Scientific Reports.

Digital health encompasses the application of digital technologies in the medical field, playing a crucial role in improving the accessibility, quality, and efficiency of healthcare services. This study examines digital health under Taiwan’s National Health Insurance, particularly its impact during the COVID-19 pandemic, focusing 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 study indicates that individuals with higher income and those with chronic or severe conditions are more likely to use telemedicine, and it highlights challenges related to digital trust and the digital divide.

This study investigated the effects of short-chain fatty acids (SCFAs) on skin phenotype, systemic inflammation, and gut microbiota in mice with psoriasis-like symptoms. Imiquimod (IMQ)-treated mice were used as the model, and genomic analyses were conducted to examine the impact of SCFAs or anti–IL-17 antibodies on skin thickness, inflammatory markers, and fecal microbiota. The results showed that SCFAs ameliorated IMQ-induced skin thickening, spleen enlargement, and serum IL-17F levels, with effects comparable to anti–IL-17 treatment. SCFAs also increased microbial diversity and altered gut microbiota composition, suggesting associations with carbohydrate degradation and phenylalanine metabolism.