Digital Pathology 1

• 70 · PDF SPOT-Met：从1,000例多组学肿瘤中空间解码结直肠癌的器官趋向性与免疫治疗应答 SPOT-Met: Spatially decoding organotropism and immunotherapy response in colorectal cancer from 1,000 multi-omic tumors Jiwoon Park, Ryan Shultzaberger, Braulio Banuelos, McKenzie Pavlich, Sabrina Shore, Daan Witters, Kyung-A Kim, Taeyul K. Kim, Minsun Jung, Han Sang Kim, Christopher E. Mason
• 71 · PDF 衔接组织病理学与空间转录组学以实现全面的肿瘤微环境分析 Bridging histopathology and spatial transcriptomics for comprehensive tumor microenvironment profiling Xiaohan Xing, Lei Xing
• 72 · PDF 利用mRNA衍生标签从H&E全切片图像中无偏地AI检测三级淋巴结构可预测NSCLC生存 Unbiased AI detection of tertiary lymphoid structures from H&E whole-slide images using mRNA-derived labels predicts survival in NSCLC Anthony J. Wong, Jessica Kim, Shinkyo Yoon, Young Kwang Chae
• 73 · PDF 从H&E染色全切片图像中准确预测微卫星高度不稳定型胃癌 Accurate prediction of microsatellite instability-high gastric cancer from H&E-stained whole slide images Shima Nofallah, Jake Conway, Jacqueline Brosnan-Cashman, Syed Ashar Javed, Bahar Rahsepar
• 74 · PDF 通过GLORIA远程病理网络改善复杂肿瘤病例的组织病理诊断周转时间 Improving histopathological diagnostic turnaround time through the GLORIA Telepathology Network in complex oncological cases Rafael Parra-Medina, Andres Mosquera-Zamudio, Rita Paez, Manuel Lopez, Maria Alejandra Espinosa, Yeison Carlosama Rosero, Yesid Poveda, Katherine Redondo-De Oro, Marcela Gomez-Suarez
• 75 · PDF 从单张H&E切片到肺肿瘤微环境中的虚拟免疫组织化学生物标志物染色 From single H&E to virtual immunohistochemical biomarker staining in the lung tumor microenvironment Kenneth To, Christopher Jackson, Louis Vaickus, Lawrence Schobs, Rohan Kamra Lyons, Rafay Azhar
• 76 · PDF IHCExplore：一个用于准确且可扩展的免疫组织化学评分的AI驱动计算病理学平台 IHCExplore: An AI-driven computational pathology platform for accurate and scalable immunohistochemistry scoring Kelsey Luu, Ciyue Shen, Chintan Shah, John Shamshoian, Blake Martin, Daniel Shenker, Jackson nyman, Nhat Le, Zahil Shanis, Syed Ashar Javed, Matthew Bronnimann, Robert Egger, Harsha Pokolla, Andrew H. Beck, Benjamin Glass, Jennifer Hipp, Ryan Leung, Jacqueline Brosnan-Cashman, Santhosh Balasubramanian, Bahar Rahsepar, Emma Krause
• 77 · PDF AI驱动的三维空间转录组学用于前列腺腺癌的三维肿瘤微环境图谱绘制 AI-driven 3D spatial transcriptomics for 3D tumor microenvironment mapping in prostate adenocarcinoma Cristina Almagro-Pérez, Andrew Song, Luca Weishaupt, Ahrong Kim, Guillaume Jaume, Konstantin Hemker, Drew F.K. Williamson, Stephanie Pei Tung Yiu, Qinghua Han, Renao Yan, Elena Baraznenok, Long Phi Le, Alexander S. Baras, Ali Bashashati, Sizun Jiang, Jonathan T.C. Liu, Faisal Mahmood
• 78 · PDF OncoPredikt：一个用于乳腺癌IHC全切片图像中肿瘤检测和生物标志物定量的深度学习框架 OncoPredikt: A deep-learning framework for tumor detection and biomarker quantification in breast cancer IHC whole-slide images Gowhar Shafi, PM Shivamurthy, Aditya Satpute, Hrishita Kothavade, Aarthi Ramesh, Mohan Uttarwar, Nandini Ramchandani
• 79 · PDF 从像素到空间微环境：H&E切片上AI驱动的CAF-Epi生态位预测 From pixels to spatial microenvironments: AI-powered CAF-Epi niche prediction on H&E slides Zhixuan You, Qiankun Li, Jiaying Zhu, Guoyu Cheng, Yanrong Shen, Jiang Chang, Chen Wu
• 80 · PDF 使用AI对非小细胞肺癌中肿瘤浸润淋巴细胞进行定量评估及其与免疫治疗反应的关联 Quantitative assessment of tumor-infiltrating lymphocytes using AI in non-small cell lung cancer and association with immunotherapy response Mona Tuysserkani, Siraj Ali, Yoojoo Lim, Ken Nesmith, Sanghoon Song, Sanja Dacic, David Rimm
• 81 · PDF 使用深度学习对肺癌全切片图像进行临床级质量控制和染色协调增强 Clinical-grade quality control and stain harmonization enhancement in whole-slide images of lung cancer using deep learning Meghdad Sabouri Rad, Mohammad Mehdi Hosseini, Rakesh Choudhary, Harmen Siezen, Saverio J. Carello, Ola El-Zammar, Michel R. Nasr, Bardia Rodd
• 82 · PDF 人工智能从H&E切片衍生的空间转录组学特征可预测原发性黑色素瘤的生存 Artificial intelligence derived spatial transcriptomic signatures from H&E slides predict survival in primary melanoma Amritpal Singh, Merin George, Tilak Pathak, Ujjwal Baid, Douglas Parker, Michael C. Lowe, Anant Madabhushi, Bhakti Baheti
• 83 · PDF 基于AI的胰腺导管腺癌组织分析：研究肿瘤免疫生态系统并识别新型分类标志 AI-powered analysis of pancreatic ductal adenocarcinoma tissues to study the tumor immune ecosystem and identify novel classifiers Rebecca Polidori, Marika Viatore, Anna Rita Putignano, Greta Donisi, Capretti Giovanni, Arturo Bonometti, Silvia Uccella, Silvia Bozzarelli, Jakob Nikolas Kather, Massimo Locati, Federica Marchesi
• 84 · PDF 基于H&E组织切片深度学习预测晚期EGFR突变型非小细胞肺癌对EGFR抑制剂的无进展生存期 Deep-learning prediction of progression-free survival to EGFR inhibitors from H&E tissue slides in advanced EGFR -mutated non-small cell lung cancer Lodovica Zullo, Elin Samuelsson, Fabrizio Citarella, Mina Farag, Francesco Cortiula, Andrea De Giglio, Frank Aboubakar, Katharina von Loga, Etienne Hatton, Lorenzo Nibid, Giovanna De Maglio, Francesca Ambrosi, Beatrice Ramella Pollone, Melanie Janson, Alessandro Russo, Andrew Whittum, Ingrid Garberis, Victor Aubert, Hortense Deslandes, David Planchard, Fabrice Andre, Cecile Badoual, Benjamin Besse, Maria Rosa Ghigna, Mihaela Aldea
• 85 · PDF Path2Marker：从常规H&E切片进行细胞级多重蛋白表达预测 Path2Marker: Cell-level prediction of multiplex protein expression from routine H&E slides Amos Stemmer, Tiangen Chang, Thomas Cantore, Saugato Rahman Dhruba, Sumona Biswas, Sumeet Patiyal, Eldad David Shulman, Emma M. Campagnolo, Aagam Shah, Simon Knott, Chi-Ping Day, Danh-Tai Hoang, Eytan Ruppin
• 87 · PDF Path2Prot提供了一种基于AI推断的蛋白质组学生物标志物进行乳腺肿瘤亚型分型和治疗反应预测的新方法 Path2Prot offers a new way for breast tumor subtyping and treatment response prediction from AI-inferred proteomic biomarkers Saugato Rahman Dhruba, Danh-Tai Hoang, Sumit Mukherjee, Amos Stemmer, Eldad Shulman, Ranjan Kumar Barman, Sanna Madan, Sanju Sinha, Kenneth D. Aldape, Eytan Ruppin
• 88 · PDF 通过数字病理学对直肠癌早期形态学放疗反应进行多尺度表征 Multiscale characterization of early morphologic radiation response in rectal cancer via digital pathology Sriya Veerapaneni, Paul Acosta, Bassel Dawod, Sebastian Diegeler, Mengxi Yu, Eslam Elghonaimy, Megan Wachsmann, Purva Gopal, Todd Aguilera, Satwik Rajaram
• 89 · PDF TissueTrek：一个用于探索癌症空间形态学-分子关系的交互式多模态网络平台 TissueTrek: An interactive multimodal web-based platform for exploring spatial morphology-molecular relationships in cancer Vibha R. Rao, Marvin Escobar Barajas, Candice C. Black, Madhumala K. Sadanandappa, Scott M. Palisoul, Adrienne A. Workman, Todd A. MacKenzie, Louis J. Vaickus, Mary D. Chamberlin, George J. Zanazzi, Shrey S. Sukhadia
• 90 · PDF 利用基于空间转录组学指导的深度学习对肝细胞癌进行组织学分层 Histologic stratification of hepatocellular carcinoma using deep learning informed by spatial transcriptomics Tyler M. Yasaka, Chang Kyung (Joanna) Kim, Po-Yuan Chen, Rebekah E. Dadey, Riyue Bao, Satdarshan Pal S. Monga, Yu-Chiao Chiu

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