5 citations · 13 across the 5 of their papers we have counts for
5 papers
An Integrated AI-Enabled System Using One Class Twin Cross Learning (OCT-X) for Early Gastric Cancer Detection
Xian-Xian Liu, Yuanyuan Wei, Mingkun Xu +9
Early detection of gastric cancer, a leading cause of cancer-related mortality worldwide, remains hampered by the limitations of current diagnostic technologies, leading to high ra…
Interpretable Droplet Digital PCR Assay for Trustworthy Molecular Diagnostics
Yuanyuan Wei, Yucheng Wu, Fuyang Qu +5
Accurate molecular quantification is essential for advancing research and diagnostics in fields such as infectious diseases, cancer biology, and genetic disorders. Droplet digital…
Enhancing Diagnostic Precision in Gastric Bleeding through Automated Lesion Segmentation: A Deep DuS-KFCM Approach
Xian-Xian Liu, Mingkun Xu, Yuanyuan Wei +8
Timely and precise classification and segmentation of gastric bleeding in endoscopic imagery are pivotal for the rapid diagnosis and intervention of gastric complications, which is…
Advancements in Programmable Lipid Nanoparticles: Exploring the Four-Domain Model for Targeted Drug Delivery
Zhaoyu Liu, Jingxun Chen, Mingkun Xu +4
Programmable lipid nanoparticles, or LNPs, represent a breakthrough in the realm of targeted drug delivery, offering precise spatiotemporal control essential for the treatment of c…
Artificial Intelligence Enhanced Digital Nucleic Acid Amplification Testing for Precision Medicine and Molecular Diagnostics
Yuanyuan Wei, Xianxian Liu, Changran Xu +4
The precise quantification of nucleic acids is pivotal in molecular biology, underscored by the rising prominence of nucleic acid amplification tests (NAAT) in diagnosing infectiou…