Current Advances in Spatial Pathology of Nasal Polyps: Challenges, Opportunities for Artificial Intelligence, and Future Directions
Zi‐Xuan Hua, Xin Luo, Ning Kang, Ze‐Zhi Guo, Man‐Hou Chao, Hua‐Mei Yan, Wan‐Xin Zhang, Tong Wu, Zi‐Qi Zhang, Xue‐Kun Huang, Ya‐Na Zhang, Zhao‐Hui Shi, Qin‐Tai Yang · 2026
Read Current Advances in Spatial Pathology of Nasal Polyps: Challenges, Opportunities for Artificial Intelligence, and Future Directions by Zi‐Xuan Hua, Xin Luo, Ning Kang, Ze‐Zhi Guo, Man‐Hou Chao, Hua‐Mei Yan, Wan‐Xin Zhang, Tong Wu, Zi‐Qi Zhang, Xue‐Kun Huang, Ya‐Na Zhang, Zhao‐Hui Shi, Qin‐Tai Yang (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13519848.txt.
Description
Zi-Xuan Hua and co-authors reviewed spatial pathology of nasal polyps in a 2026 paper. Nasal polyps come with lasting sinus swelling and vary a lot in their inner make-up. Reading where each cell and signal sits in the tissue is key to sorting that mix, yet classic slide work leans on the human eye and lacks fine measure.
New tools now map gene activity across the whole polyp and let deep learning sort tissue shots on its own. The review weighs what those tools have shown and where AI can take the field next. It also marks the hard parts, such as cost and shared standards.
Catalog record
| CREATOR | Zi‐Xuan Hua, Xin Luo, Ning Kang, Ze‐Zhi Guo, Man‐Hou Chao, Hua‐Mei Yan, Wan‐Xin Zhang, Tong Wu, Zi‐Qi Zhang, Xue‐Kun Huang, Ya‐Na Zhang, Zhao‐Hui Shi, Qin‐Tai Yang |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 22 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |