Publications
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van den Berg, Nikki, Schoenpflug, Lydia, Horeweg, Nanda, Volinsky-Fremond, Sarah, Barkey-Wolf, Jurriaan, Andani, Sonali, Lafarge, Maxime W, Oertft, Gitte, Jobsen, Jan J., Razack, Rubina, Gerestein, Kees, Jonges, Trudy, de Kroon, Cor D., Nout, Remi, Tseng, Dorine, Kuijsters, Nienke, Powell, Melanie E., Khaw, Pearly, Shepherd, Lois, et al. (2026). Deep Learning-Based Screening for POLE mutations on Histopathology Slides in Endometrial Cancer [Posted-content]. In medRxiv. https://doi.org/10.64898/2026.02.06.26345335
van den Berg, Nikki, Schoenpflug, Lydia, Horeweg, Nanda, Volinsky-Fremond, Sarah, Barkey-Wolf, Jurriaan, Andani, Sonali, Lafarge, Maxime W, Oertft, Gitte, Jobsen, Jan J., Razack, Rubina, Gerestein, Kees, Jonges, Trudy, de Kroon, Cor D., Nout, Remi, Tseng, Dorine, Kuijsters, Nienke, Powell, Melanie E., Khaw, Pearly, Shepherd, Lois, et al. (2026). Deep Learning-Based Screening for POLE mutations on Histopathology Slides in Endometrial Cancer [Posted-content]. In medRxiv. https://doi.org/10.64898/2026.02.06.26345335
Bräutigam, Konstantin, Baker, Ann‐Marie, , Kather, Jakob N, & Graham, Trevor A. (2026). Integrating artificial intelligence ( AI ) into colorectal cancer reporting. Journal of Pathology. https://doi.org/10.1002/path.70029
Bräutigam, Konstantin, Baker, Ann‐Marie, , Kather, Jakob N, & Graham, Trevor A. (2026). Integrating artificial intelligence ( AI ) into colorectal cancer reporting. Journal of Pathology. https://doi.org/10.1002/path.70029
Chen, Boqi, Vincent-Cuaz, Cédric, Schoenpflug, Lydia A., Madeira, Manuel, Fournier, Lisa, Subramanian, Vaishnavi, Andani, Sonali, Ruiperez-Campillo, Samuel, Vogt, Julia E., Luisier, Raphaëlle, Thanou, Dorina, , Frossard, Pascal, Campanella, Gabriele, & Rätsch, Gunnar. (2026). Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology. In Lecture Notes in Computer Science: Vol. 15965 LNCS (pp. 554–564). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-032-04978-0_53
Chen, Boqi, Vincent-Cuaz, Cédric, Schoenpflug, Lydia A., Madeira, Manuel, Fournier, Lisa, Subramanian, Vaishnavi, Andani, Sonali, Ruiperez-Campillo, Samuel, Vogt, Julia E., Luisier, Raphaëlle, Thanou, Dorina, , Frossard, Pascal, Campanella, Gabriele, & Rätsch, Gunnar. (2026). Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology. In Lecture Notes in Computer Science: Vol. 15965 LNCS (pp. 554–564). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-032-04978-0_53
Gosztonyi, Benedict, Mehra, Tarun, Gut, Gabriele, Miglino, Nicola, Ring, Alexander, Martínez Gómez, Julia M., Ramelyte, Egle, Sobottka, Bettina, Koelzer, Viktor Hendrik, Moch, Holger, Levesque, Mitchell P., Mangana, Joanna, Dummer, Reinhard, Boos, Laura, Wicki, Andreas, Aebersold, Rudolf, Ak, Melike, Al-Quaddoomi, Faisal S., Albert, Silvana I., et al. (2026). Safety of Multi-Omics–Guided Therapy in Advanced Melanoma: A Matched Comparative Cohort Analysis [Journal-article]. JCO Precision Oncology, 10(1). https://doi.org/10.1200/po-25-00896
Gosztonyi, Benedict, Mehra, Tarun, Gut, Gabriele, Miglino, Nicola, Ring, Alexander, Martínez Gómez, Julia M., Ramelyte, Egle, Sobottka, Bettina, Koelzer, Viktor Hendrik, Moch, Holger, Levesque, Mitchell P., Mangana, Joanna, Dummer, Reinhard, Boos, Laura, Wicki, Andreas, Aebersold, Rudolf, Ak, Melike, Al-Quaddoomi, Faisal S., Albert, Silvana I., et al. (2026). Safety of Multi-Omics–Guided Therapy in Advanced Melanoma: A Matched Comparative Cohort Analysis [Journal-article]. JCO Precision Oncology, 10(1). https://doi.org/10.1200/po-25-00896
Pnev, S., Wolleb, J., Fuller, J. C., Rammelt, P., Koelzer, V. H., & Cattin, P. C. (2026). Scheduled Cross-Domain Multi-center DINO for Robust High-Content Screening Representation Learning [Book-chapter]. In Lecture Notes in Computer Science: Vol. 16241 LNCS (pp. 432–441). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-032-09513-8_42
Pnev, S., Wolleb, J., Fuller, J. C., Rammelt, P., Koelzer, V. H., & Cattin, P. C. (2026). Scheduled Cross-Domain Multi-center DINO for Robust High-Content Screening Representation Learning [Book-chapter]. In Lecture Notes in Computer Science: Vol. 16241 LNCS (pp. 432–441). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-032-09513-8_42
Frei, Céline Arlette, Litchfield, Cassandra, Mihic, Alanna, Prutek, Fabiola, Fitsche, André, Wiesmann, Fabius, Wanner, Miriam, Sobottka, Bettina, Mihic-Probst, Daniela, Aebersold, Rudolf, Ak, Melike, Al-Quaddoomi, Faisal S., Albert, Silvana I., Albinus, Jonas, Alborelli, Ilaria, Andani, Sonali, Attinger, Per-Olof, Bacac, Marina, Baciu-Drăgan, Monica-Andreea, et al. (2025). The chromatin guardian ATRX is a strong prognostic biomarker in melanoma. Scientific Reports, 16(1). https://doi.org/10.1038/s41598-025-30842-4
Frei, Céline Arlette, Litchfield, Cassandra, Mihic, Alanna, Prutek, Fabiola, Fitsche, André, Wiesmann, Fabius, Wanner, Miriam, Sobottka, Bettina, Mihic-Probst, Daniela, Aebersold, Rudolf, Ak, Melike, Al-Quaddoomi, Faisal S., Albert, Silvana I., Albinus, Jonas, Alborelli, Ilaria, Andani, Sonali, Attinger, Per-Olof, Bacac, Marina, Baciu-Drăgan, Monica-Andreea, et al. (2025). The chromatin guardian ATRX is a strong prognostic biomarker in melanoma. Scientific Reports, 16(1). https://doi.org/10.1038/s41598-025-30842-4
Mehra, Tarun, Menges, Dominik, Gosztonyi, Benedict, Miglino, Nicola, Ring, Alexander, Boos, Laura, Sobottka, Bettina, Aebersold, Rudolf, Ak, Melike, Al-Quaddoomi, Faisal S., Albert, Silvana I., Albinus, Jonas, Alborelli, Ilaria, Andani, Sonali, Attinger, Per-Olof, Bacac, Marina, Baciu-Drăgan, Monica-Andreea, Baumhoer, Daniel, Beck-Schimmer, Beatrice, et al. (2025). Comparative cost analysis of a diagnostic multi-omics platform for decision support in advanced cancer – results from the Tumor Profiler Melanoma project. npj Precision Oncology, 10(1). https://doi.org/10.1038/s41698-025-01229-5
Mehra, Tarun, Menges, Dominik, Gosztonyi, Benedict, Miglino, Nicola, Ring, Alexander, Boos, Laura, Sobottka, Bettina, Aebersold, Rudolf, Ak, Melike, Al-Quaddoomi, Faisal S., Albert, Silvana I., Albinus, Jonas, Alborelli, Ilaria, Andani, Sonali, Attinger, Per-Olof, Bacac, Marina, Baciu-Drăgan, Monica-Andreea, Baumhoer, Daniel, Beck-Schimmer, Beatrice, et al. (2025). Comparative cost analysis of a diagnostic multi-omics platform for decision support in advanced cancer – results from the Tumor Profiler Melanoma project. npj Precision Oncology, 10(1). https://doi.org/10.1038/s41698-025-01229-5
Shin, JaeWoong, Ryu, Jeongun, Puche, Aaron Valero, Lee, Jinhee, Brattoli, Biagio, Jung, Wonkyung, Cho, Soo Ick, Paeng, Kyunghyun, Ock, Chan-Young, Yoo, Donggeun, Li, Zhaoyang, Li, Wangkai, Mai, Huayu, Millward, Joshua, He, Zhen, Nibali, Aiden, Schoenpflug, Lydia Anette, , Shuoyu, Xu, et al. (2025). OCELOT 2023: Cell detection from cell–tissue interaction challenge. Medical Image Analysis, 106. https://doi.org/10.1016/j.media.2025.103751
Shin, JaeWoong, Ryu, Jeongun, Puche, Aaron Valero, Lee, Jinhee, Brattoli, Biagio, Jung, Wonkyung, Cho, Soo Ick, Paeng, Kyunghyun, Ock, Chan-Young, Yoo, Donggeun, Li, Zhaoyang, Li, Wangkai, Mai, Huayu, Millward, Joshua, He, Zhen, Nibali, Aiden, Schoenpflug, Lydia Anette, , Shuoyu, Xu, et al. (2025). OCELOT 2023: Cell detection from cell–tissue interaction challenge. Medical Image Analysis, 106. https://doi.org/10.1016/j.media.2025.103751
Schmid, Dominic, Sobottka, Bettina, Manzo, Massimiliano, Trüb, Marta, Leonards, Katharina, Herzig, Petra, Oyewole, Oluwaseun Rume-Abiola, Jermann, Philip, Hayoz, Stefanie, Savic Prince, Spasenija, Tochtermann, Giulia, Natoli, Marina, Pless, Miklos, Bettini, Adrienne, Früh, Martin, Mauti, Laetitia A., Britschgi, Christian, Peters, Solange, Mark, Michael, et al. (2025). Tumor immune dynamics and long-term clinical outcome of stage IIIA NSCLC patients treated with neoadjuvant chemoimmunotherapy. Nature Communications, 16(1). https://doi.org/10.1038/s41467-025-63696-5
Schmid, Dominic, Sobottka, Bettina, Manzo, Massimiliano, Trüb, Marta, Leonards, Katharina, Herzig, Petra, Oyewole, Oluwaseun Rume-Abiola, Jermann, Philip, Hayoz, Stefanie, Savic Prince, Spasenija, Tochtermann, Giulia, Natoli, Marina, Pless, Miklos, Bettini, Adrienne, Früh, Martin, Mauti, Laetitia A., Britschgi, Christian, Peters, Solange, Mark, Michael, et al. (2025). Tumor immune dynamics and long-term clinical outcome of stage IIIA NSCLC patients treated with neoadjuvant chemoimmunotherapy. Nature Communications, 16(1). https://doi.org/10.1038/s41467-025-63696-5
Nonchev, K., Manaiev, G., Koelzer, V. H., & Rätsch, G. (2025). DeepSpot2Cell: Predicting Virtual Single-Cell Spatial Transcriptomics from H&E images using Spot-Level Supervision [Posted-content]. Cold Spring Harbor Laboratory. https://doi.org/10.1101/2025.09.23.678121
Nonchev, K., Manaiev, G., Koelzer, V. H., & Rätsch, G. (2025). DeepSpot2Cell: Predicting Virtual Single-Cell Spatial Transcriptomics from H&E images using Spot-Level Supervision [Posted-content]. Cold Spring Harbor Laboratory. https://doi.org/10.1101/2025.09.23.678121
Wiesmann, F., Litchfield, C., Mayoux, M., Consortium, T. P., Wicki, A., Becher, B., Koelzer, V. H., Moch, H., Buljan, M., Tugues, S., & Sobottka, B. (2025). RIPPLET: Mutation-Only Gene and Pathway Profiling for Precision Oncology [Posted-content]. Cold Spring Harbor Laboratory. https://doi.org/10.1101/2025.09.17.676675
Wiesmann, F., Litchfield, C., Mayoux, M., Consortium, T. P., Wicki, A., Becher, B., Koelzer, V. H., Moch, H., Buljan, M., Tugues, S., & Sobottka, B. (2025). RIPPLET: Mutation-Only Gene and Pathway Profiling for Precision Oncology [Posted-content]. Cold Spring Harbor Laboratory. https://doi.org/10.1101/2025.09.17.676675
Fusi, Irene, Serger, Clara, Herzig, Petra, Germann, Markus, Sandholzer, Michael T., Oelgarth, Nicole, Schwalie, Petra C., Don, Leyla, Vetter, Viola K., , Lardinois, Didier, Kao, Henry, Deak, Laura Codarri, Umaña, Pablo, Klein, Christian, Hojski, Aljaz, Natoli, Marina, & Zippelius, Alfred. (2025). PD-1–targeted cis-delivery of an IL-2 variant induces a multifaceted antitumoral T cell response in human lung cancer. Science Translational Medicine, 17(816). https://doi.org/10.1126/scitranslmed.adr3718
Fusi, Irene, Serger, Clara, Herzig, Petra, Germann, Markus, Sandholzer, Michael T., Oelgarth, Nicole, Schwalie, Petra C., Don, Leyla, Vetter, Viola K., , Lardinois, Didier, Kao, Henry, Deak, Laura Codarri, Umaña, Pablo, Klein, Christian, Hojski, Aljaz, Natoli, Marina, & Zippelius, Alfred. (2025). PD-1–targeted cis-delivery of an IL-2 variant induces a multifaceted antitumoral T cell response in human lung cancer. Science Translational Medicine, 17(816). https://doi.org/10.1126/scitranslmed.adr3718
Bräutigam, Konstantin, Zens, Philipp, Reinhard, Stefan, Rohrbach, Jessica L., Leedham, Simon J., Wenning, Anna S., Gloor, Beat, , & Wartenberg, Martin. (2025). Spatially resolved analysis of TGF/BMP signalling in pancreatic ductal adenocarcinoma by digital pathology identifies patient subgroups with adverse outcome. BMC Cancer, 25(1). https://doi.org/10.1186/s12885-025-14751-3
Bräutigam, Konstantin, Zens, Philipp, Reinhard, Stefan, Rohrbach, Jessica L., Leedham, Simon J., Wenning, Anna S., Gloor, Beat, , & Wartenberg, Martin. (2025). Spatially resolved analysis of TGF/BMP signalling in pancreatic ductal adenocarcinoma by digital pathology identifies patient subgroups with adverse outcome. BMC Cancer, 25(1). https://doi.org/10.1186/s12885-025-14751-3
Andani, Sonali, Chen, Boqi, Ficek-Pascual, Joanna, Heinke, Simon, Casanova, Ruben, Hild, Bernard Friedrich, Sobottka, Bettina, Bodenmiller, Bernd, Aebersold, Rudolf, Ak, Melike, Al-Quaddoomi, Faisal S., Albert, Silvana I., Albinus, Jonas, Alborelli, Ilaria, Andani, Sonali, Attinger, Per-Olof, Bacac, Marina, Baumhoer, Daniel, Beck-Schimmer, Beatrice, et al. (2025). Histopathology-based protein multiplex generation using deep learning. Nature Machine Intelligence, 7(8), 1292–1307. https://doi.org/10.1038/s42256-025-01074-y
Andani, Sonali, Chen, Boqi, Ficek-Pascual, Joanna, Heinke, Simon, Casanova, Ruben, Hild, Bernard Friedrich, Sobottka, Bettina, Bodenmiller, Bernd, Aebersold, Rudolf, Ak, Melike, Al-Quaddoomi, Faisal S., Albert, Silvana I., Albinus, Jonas, Alborelli, Ilaria, Andani, Sonali, Attinger, Per-Olof, Bacac, Marina, Baumhoer, Daniel, Beck-Schimmer, Beatrice, et al. (2025). Histopathology-based protein multiplex generation using deep learning. Nature Machine Intelligence, 7(8), 1292–1307. https://doi.org/10.1038/s42256-025-01074-y
Litchfield, Cassandra, Nienhold, Ronny, Wicki, Andreas, Schmid, Michael, Aguilera-Garcia, Domingo, Koelzer, Viktor Hendrik, Aebersold, Rudolf, Ak, Melike, Al-Quaddoomi, Faisal S., Albert, Silvana I., Albinus, Jonas, Alborelli, Ilaria, Andani, Sonali, Attinger, Per-Olof, Bacac, Marina, Baciu-Drăgan, Monica-Andreea, Baumhoer, Daniel, Beck-Schimmer, Beatrice, Beerenwinkel, Niko, et al. (2025). Integrating Formalin-Fixed, Paraffin-Embedded–Derived Whole-Genome Sequencing into Routine Molecular Pathology: Validation and First Experiences in Metastatic Melanoma. Journal of Molecular Diagnostics, 27, 722–735. https://doi.org/10.1016/j.jmoldx.2025.04.011
Litchfield, Cassandra, Nienhold, Ronny, Wicki, Andreas, Schmid, Michael, Aguilera-Garcia, Domingo, Koelzer, Viktor Hendrik, Aebersold, Rudolf, Ak, Melike, Al-Quaddoomi, Faisal S., Albert, Silvana I., Albinus, Jonas, Alborelli, Ilaria, Andani, Sonali, Attinger, Per-Olof, Bacac, Marina, Baciu-Drăgan, Monica-Andreea, Baumhoer, Daniel, Beck-Schimmer, Beatrice, Beerenwinkel, Niko, et al. (2025). Integrating Formalin-Fixed, Paraffin-Embedded–Derived Whole-Genome Sequencing into Routine Molecular Pathology: Validation and First Experiences in Metastatic Melanoma. Journal of Molecular Diagnostics, 27, 722–735. https://doi.org/10.1016/j.jmoldx.2025.04.011
Schoenpflug, Lydia A., Bagan Benavides, Ruben, Nowak, Marta, Sheikhzadeh, Fahime, Moayyedi, Arash, Wasag, Kamil, Reimers, Jacob, Zhou, Michael, Venugopal, Raghavan, Sobottka, Bettina, Koeller, Yasmin, Rivers, Michael, Moch, Holger, Nie, Yao, & (2025). Navigating real-world challenges: A case study on federated learning in computational pathology. Journal of Pathology Informatics, 18. https://doi.org/10.1016/j.jpi.2025.100464
Schoenpflug, Lydia A., Bagan Benavides, Ruben, Nowak, Marta, Sheikhzadeh, Fahime, Moayyedi, Arash, Wasag, Kamil, Reimers, Jacob, Zhou, Michael, Venugopal, Raghavan, Sobottka, Bettina, Koeller, Yasmin, Rivers, Michael, Moch, Holger, Nie, Yao, & (2025). Navigating real-world challenges: A case study on federated learning in computational pathology. Journal of Pathology Informatics, 18. https://doi.org/10.1016/j.jpi.2025.100464
Berg, I., Wu, J., & Koelzer, V. H. (2025). Generative cerebral vasculature visualization using spatial transcriptomic data [Posted-content]. Cold Spring Harbor Laboratory. https://doi.org/10.1101/2025.07.10.664153
Berg, I., Wu, J., & Koelzer, V. H. (2025). Generative cerebral vasculature visualization using spatial transcriptomic data [Posted-content]. Cold Spring Harbor Laboratory. https://doi.org/10.1101/2025.07.10.664153
Miglino, Nicola, Toussaint, Nora C., Ring, Alexander, Bonilla, Ximena, Tusup, Marina, Gosztonyi, Benedict, Mehra, Tarun, Gut, Gabriele, Jacob, Francis, Chevrier, Stephane, Lehmann, Kjong-Van, Casanova, Ruben, Jacobs, Andrea, Sivapatham, Sujana, Boos, Laura, Rahimzadeh, Parisa, Schuerch, Manuel, Sobottka, Bettina, Chicherova, Natalia, et al. (2025). Feasibility of multiomics tumor profiling for guiding treatment of melanoma. Nature Medicine, 31, 2430–2441. https://doi.org/10.1038/s41591-025-03715-6
Miglino, Nicola, Toussaint, Nora C., Ring, Alexander, Bonilla, Ximena, Tusup, Marina, Gosztonyi, Benedict, Mehra, Tarun, Gut, Gabriele, Jacob, Francis, Chevrier, Stephane, Lehmann, Kjong-Van, Casanova, Ruben, Jacobs, Andrea, Sivapatham, Sujana, Boos, Laura, Rahimzadeh, Parisa, Schuerch, Manuel, Sobottka, Bettina, Chicherova, Natalia, et al. (2025). Feasibility of multiomics tumor profiling for guiding treatment of melanoma. Nature Medicine, 31, 2430–2441. https://doi.org/10.1038/s41591-025-03715-6
Rubin, David T, Kubassova, Olga, Weber, Christopher R, Adsul, Shashi, Freire, Marcelo, Biedermann, Luc, , Bressler, Brian, Xiong, Wei, Niess, Jan H, Matter, Matthias S, Kopylov, Uri, Barshack, Iris, Mayer, Chen, Magro, Fernando, Carneiro, Fatima, Maharshak, Nitsan, Greenberg, Ariel, Hart, Simon, et al. (2025). Deployment of an Artificial Intelligence Histology Tool to Aid Qualitative Assessment of Histopathology Using the Nancy Histopathology Index in Ulcerative Colitis. Inflammatory Bowel Diseases, 31(6), 1630–1636. https://doi.org/10.1093/ibd/izae204
Rubin, David T, Kubassova, Olga, Weber, Christopher R, Adsul, Shashi, Freire, Marcelo, Biedermann, Luc, , Bressler, Brian, Xiong, Wei, Niess, Jan H, Matter, Matthias S, Kopylov, Uri, Barshack, Iris, Mayer, Chen, Magro, Fernando, Carneiro, Fatima, Maharshak, Nitsan, Greenberg, Ariel, Hart, Simon, et al. (2025). Deployment of an Artificial Intelligence Histology Tool to Aid Qualitative Assessment of Histopathology Using the Nancy Histopathology Index in Ulcerative Colitis. Inflammatory Bowel Diseases, 31(6), 1630–1636. https://doi.org/10.1093/ibd/izae204
Nonchev, Kalin, Dawo, Sebastian, Silina, Karina, Moch, Holger, Andani, Sonali, , & Rätsch, Gunnar. (2025). DeepSpot: Leveraging Spatial Context for Enhanced Spatial Transcriptomics Prediction from H&E Images [Posted-content]. Neural Information Processing Systems (NeurIPS), 1–10. https://doi.org/10.1101/2025.02.09.25321567
Nonchev, Kalin, Dawo, Sebastian, Silina, Karina, Moch, Holger, Andani, Sonali, , & Rätsch, Gunnar. (2025). DeepSpot: Leveraging Spatial Context for Enhanced Spatial Transcriptomics Prediction from H&E Images [Posted-content]. Neural Information Processing Systems (NeurIPS), 1–10. https://doi.org/10.1101/2025.02.09.25321567
Schoenpflug, Lydia A, Chatzipli, Aikaterini, Sirinukunwattana, Korsuk, Richman, Susan, Blake, Andrew, Robineau, James, Mertz, Kirsten D, Verrill, Clare, Leedham, Simon, Hardy, Claire, Whalley, Celina, Redmond, Keara, Dunne, Philip, Walker, Steven, Beggs, Andrew, McDermott, Ultan, Murray, Graeme, Samuel, Les, Seymour, Matt, et al. (2025). Tumour purity assessment with deep learning in colorectal cancer and impact on molecular analysis. Journal of Pathology, 265(2), 184–197. https://doi.org/10.1002/path.6376
Schoenpflug, Lydia A, Chatzipli, Aikaterini, Sirinukunwattana, Korsuk, Richman, Susan, Blake, Andrew, Robineau, James, Mertz, Kirsten D, Verrill, Clare, Leedham, Simon, Hardy, Claire, Whalley, Celina, Redmond, Keara, Dunne, Philip, Walker, Steven, Beggs, Andrew, McDermott, Ultan, Murray, Graeme, Samuel, Les, Seymour, Matt, et al. (2025). Tumour purity assessment with deep learning in colorectal cancer and impact on molecular analysis. Journal of Pathology, 265(2), 184–197. https://doi.org/10.1002/path.6376
Palles, Claire, Freeman-Mills, Luke, Arbe-Barnes, Edward, Feeley, Nathalie, Chegwidden, Laura, Curley, Helen, Galavotti, Sara, Woolley, Connor, Cheadle, Jeremy, Mouradov, Dmitri, Sieber, Oliver, Salatino, Silvia, Thorn, Steve, Goel, Anshita, Fernandez-Tajes, Juan, Omwenga, Sulochana, Biswas, Sujata, Maughan, Timothy, Leedham, Simon J, et al. (2025). Comparison between germline and somatic loss-of-function RNF43 mutations reveals different genotype-phenotype associations and provides insights into the genetic mechanisms of colorectal tumourigenesis. Gut. https://doi.org/10.1136/gutjnl-2025-337030
Palles, Claire, Freeman-Mills, Luke, Arbe-Barnes, Edward, Feeley, Nathalie, Chegwidden, Laura, Curley, Helen, Galavotti, Sara, Woolley, Connor, Cheadle, Jeremy, Mouradov, Dmitri, Sieber, Oliver, Salatino, Silvia, Thorn, Steve, Goel, Anshita, Fernandez-Tajes, Juan, Omwenga, Sulochana, Biswas, Sujata, Maughan, Timothy, Leedham, Simon J, et al. (2025). Comparison between germline and somatic loss-of-function RNF43 mutations reveals different genotype-phenotype associations and provides insights into the genetic mechanisms of colorectal tumourigenesis. Gut. https://doi.org/10.1136/gutjnl-2025-337030
Vledder, Annegé, Paijens, Sterre T., Loiero, Dominik, Maagdenberg, Alexis, Duiker, Evelien W., Bart, Joost, Hendriks, Anne M., Jalving, Mathilde, Werner, Naomi, van Rooij, Nienke, Plat, Annechien, Wisman, G. Bea A., Yigit, Refika, Roelofsen, Thijs, Kruse, Arnold J., de Lange, Nastascha M., , de Bruyn, Marco, & Nijman, Hans W. (2024). B cells critical for outcome in high grade serous ovarian carcinoma. International Journal of Cancer, 155(12), 2265–2276. https://doi.org/10.1002/ijc.35149
Vledder, Annegé, Paijens, Sterre T., Loiero, Dominik, Maagdenberg, Alexis, Duiker, Evelien W., Bart, Joost, Hendriks, Anne M., Jalving, Mathilde, Werner, Naomi, van Rooij, Nienke, Plat, Annechien, Wisman, G. Bea A., Yigit, Refika, Roelofsen, Thijs, Kruse, Arnold J., de Lange, Nastascha M., , de Bruyn, Marco, & Nijman, Hans W. (2024). B cells critical for outcome in high grade serous ovarian carcinoma. International Journal of Cancer, 155(12), 2265–2276. https://doi.org/10.1002/ijc.35149
Eerkens, Anneke L., Brummel, Koen, Vledder, Annegé, Paijens, Sterre T., Requesens, Marta, Loiero, Dominik, van Rooij, Nienke, Plat, Annechien, Haan, Floris-Jan, Klok, Patty, Yigit, Refika, Roelofsen, Thijs, de Lange, Natascha M., Klomp, Rie, Church, David, ter Elst, Arja, Wardenaar, René, Spierings, Diana, Foijer, Floris, et al. (2024). Neoadjuvant immune checkpoint blockade in women with mismatch repair deficient endometrial cancer: a phase I study. Nature Communications , 15(1). https://doi.org/10.1038/s41467-024-52098-8
Eerkens, Anneke L., Brummel, Koen, Vledder, Annegé, Paijens, Sterre T., Requesens, Marta, Loiero, Dominik, van Rooij, Nienke, Plat, Annechien, Haan, Floris-Jan, Klok, Patty, Yigit, Refika, Roelofsen, Thijs, de Lange, Natascha M., Klomp, Rie, Church, David, ter Elst, Arja, Wardenaar, René, Spierings, Diana, Foijer, Floris, et al. (2024). Neoadjuvant immune checkpoint blockade in women with mismatch repair deficient endometrial cancer: a phase I study. Nature Communications , 15(1). https://doi.org/10.1038/s41467-024-52098-8
Fan, Fan, Martinez, Georgia, DeSilvio, Thomas, Shin, John, Chen, Yijiang, Jacobs, Jackson, Wang, Bangchen, Ozeki, Takaya, Lafarge, Maxime W., , Barisoni, Laura, Madabhushi, Anant, Viswanath, Satish E., & Janowczyk, Andrew. (2024). CohortFinder: an open-source tool for data-driven partitioning of digital pathology and imaging cohorts to yield robust machine-learning models. npj Imaging, 2(1). https://doi.org/10.1038/s44303-024-00018-2
Fan, Fan, Martinez, Georgia, DeSilvio, Thomas, Shin, John, Chen, Yijiang, Jacobs, Jackson, Wang, Bangchen, Ozeki, Takaya, Lafarge, Maxime W., , Barisoni, Laura, Madabhushi, Anant, Viswanath, Satish E., & Janowczyk, Andrew. (2024). CohortFinder: an open-source tool for data-driven partitioning of digital pathology and imaging cohorts to yield robust machine-learning models. npj Imaging, 2(1). https://doi.org/10.1038/s44303-024-00018-2
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