arXiv Artificial Intelligence· Yesung Cho, Ji Hwan Park, Chan Il Kim, Hyewon Kim, Honglan Li, Yumin Lee, Geongyu Lee, Sujeong Hong, Seong Min Park, Yoonyoung Lee, Hee Sool Rho, Sumin Lee, Amos Chungwon Lee, Changhwan Lee, Hwanyoung Shim, Hyunwook Kim, Hyeji Shin, Sanha Park, Jihoon Yu, Yoon Hee Shin, Sooheon Kim, Hyunjin Park, Seung Min Park, Sangwan Kim, Yujung Kim, Jinwon Jeong, Sung-Im Do, Eun-Young Kim, Dongmyung Shin, Ingu Do, Jongbae Park·· 2 小时前AI 评分32
AI 引导深度视觉蛋白质组学揭示三阴性乳腺癌复发相关形态分子特征
AI-guided deep visual proteomics reveals recurrence-associated morpho-molecular signatures within triple-negative breast cancers
AI 导读
研究团队开发出结果导向的 AI 引导深度视觉蛋白质组学框架，用复发风险热图指导三阴性乳腺癌组织的物理取样与质谱空间蛋白质组分析。
来源：arXiv Artificial Intelligence · arxiv.org