Integrating Natural Product Research Laboratory with artificial intelligence: advancements and breakthroughs in traditional medicine
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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 |
1-14 |
Machine Learning-Guided Differential Gene Expression Analysis Identifies A Highly-Connected Seven-Gene Cluster in Triple-Negative Breast Cancer
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Hany Ghazal, El-Sayed A. El-Absawy, Waleed Ead, and Mohamed E. Hasan |
15-35 |
Advanced whole transcriptome sequencing and artificial intelligence/machine learning (AI/ML) in imiquimod-induced psoriasis-like inflammation of human keratinocytes
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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 |
36-50 |
Application of Machine Learning to Identify Risk Factors for Outpatient Opioid Prescriptions Following Spine Surgery
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Alexander Bouterse, Andrew Cabrera, Adam Jameel, David Chung, and Olumide Danisa |
51-60 |
Artificial intelligence (AI)-powered bibliometric analysis of global trends in mesenchymal stem cells (MSCs)-derived exosome research: 2014-2023
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Shih-Chang Tsai, Bing-Han Wan, Fuu-Jen Tsai, and Jai-Sing Yang |
61-77 |
Juxtaposition of Bone Age and Sexual Maturity Rating of the Taiwanese Population
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Wen-Li Lu, Chung-Hsing Wang, Yi-Chun Lin, and Fuu-Jen Tsai |
78-81 |
Artificial intelligence-driven prediction and validation of blood-brain barrier permeability and absorption, distribution, metabolism, excretion profiles in Natural Product Research Laboratory compounds
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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 |
82-91 |