Digital Pathology 1

• 70 · PDF 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 Bridging histopathology and spatial transcriptomics for comprehensive tumor microenvironment profiling Xiaohan Xing, Lei Xing
• 72 · PDF 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 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 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 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: 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-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: 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 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 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 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 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 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 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: 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 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 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: 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 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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