Original Article
Machine Learning-Guided Differential Gene Expression Analysis Identifies A Highly-Connected Seven-Gene Cluster in Triple-Negative Breast Cancer
Hany Ghazal, El-Sayed A. El-Absawy, Waleed Ead, and Mohamed E. Hasan
Advanced whole transcriptome sequencing and artificial intelligence/machine learning (AI/ML) in imiquimod-induced psoriasis-like inflammation of human keratinocytes
Lii-Tzu Wu, Shih-Chang Tsai, Tsung‑Jung Ho, Hao-Ping Chen, Yu-Jen Chiu, Yan-Ru Peng, Ting-Yuan Liu, Yu‑Ning Juan, Jai-Sing Yang, and Fuu-Jen Tsai
Application of Machine Learning to Identify Risk Factors for Outpatient Opioid Prescriptions Following Spine Surgery
Alexander Bouterse, Andrew Cabrera, Adam Jameel, David Chung, and Olumide Danisa
Artificial intelligence (AI)-powered bibliometric analysis of global trends in mesenchymal stem cells (MSCs)-derived exosome research: 2014-2023
Shih-Chang Tsai, Bing-Han Wan, Fuu-Jen Tsai, and Jai-Sing Yang
Juxtaposition of Bone Age and Sexual Maturity Rating of the Taiwanese Population
Wen-Li Lu, Chung-Hsing Wang, Yi-Chun Lin, and Fuu-Jen Tsai
Artificial intelligence-driven prediction and validation of blood-brain barrier permeability and absorption, distribution, metabolism, excretion profiles in Natural Product Research Laboratory compounds
Jai-Sing Yang, Eddie TC Huang, Ken YK Liao, Da-Tian Bau, Shih-Chang Tsai, Chao-Jung Chen, Kuan-Wen Chen, Ting-Yuan Liu, Yu-Jen Chiu, and Fuu-Jen Tsai
Review Article
Integrating Natural Product Research Laboratory with artificial intelligence: advancements and breakthroughs in traditional medicine
Jai-Sing Yang, Shih-Chang Tsai, Yuan-Man Hsu, Da-Tian Bau, Chia-Wen Tsai, Wen-Shin Chang, Sheng-Chu Kuo, Sheng-Chu Kuo, Chien-Chih Yu, Yu-Jen Chiu, and Fuu-Jen Tsai
