Regression-based Deep-Learning predicts molecular biomarkers from pathology slides von El Nahhas, Omar S. M., Loeffler, Chiara M. L., Carrero, Zunamys I., van Treeck, Marko, Kolbinger, Fiona R., Hewitt, Katherine J., Muti, Hannah S., Graziani, Mara, Zeng, Qinghe, Calderaro, Julien, Ortiz-Brüchle, Nadina, Yuan, Tanwei, Hoffmeister, Michael, Brenner, Hermann, Brobeil, Alexander, Reis-Filho, Jorge S., Kather, Jakob Nikolas

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In-context learning enables multimodal large language models to classify cancer pathology images von Ferber, Dyke, Wölflein, Georg, Wiest, Isabella C., Ligero, Marta, Sainath, Srividhya, Ghaffari Laleh, Narmin, El Nahhas, Omar S. M., Müller-Franzes, Gustav, Jäger, Dirk, Truhn, Daniel, Kather, Jakob Nikolas

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Author Correction: Regression-based Deep-Learning predicts molecular biomarkers from pathology slides von El Nahhas, Omar S. M., Loeffler, Chiara M. L., Carrero, Zunamys I., van Treeck, Marko, Kolbinger, Fiona R., Hewitt, Katherine J., Muti, Hannah S., Graziani, Mara, Zeng, Qinghe, Calderaro, Julien, Ortiz-Brüchle, Nadina, Yuan, Tanwei, Hoffmeister, Michael, Brenner, Hermann, Brobeil, Alexander, Reis-Filho, Jorge S., Kather, Jakob Nikolas

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From whole-slide image to biomarker prediction: end-to-end weakly supervised deep learning in computational pathology von El Nahhas, Omar S M, van Treeck, Marko, Wölflein, Georg, Unger, Michaela, Ligero, Marta, Lenz, Tim, Wagner, Sophia J, Hewitt, Katherine J, Khader, Firas, Foersch, Sebastian, Truhn, Daniel, Kather, Jakob Nikolas

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Prediction of homologous recombination deficiency from routine histology with attention-based multiple instance learning in nine different tumor types von Loeffler, Chiara Maria Lavinia, El Nahhas, Omar S M, Muti, Hannah Sophie, Carrero, Zunamys I, Seibel, Tobias, van Treeck, Marko, Cifci, Didem, Gustav, Marco, Bretz, Kevin, Gaisa, Nadine T, Lehmann, Kjong-Van, Leary, Alexandra, Selenica, Pier, Reis-Filho, Jorge S, Ortiz-Bruechle, Nadina, Kather, Jakob Nikolas

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Benign Perivascular Epithelioid Cell Tumor of the Mesentery Misdiagnosed as a Uterine Fibroid: A Case Report and Review of Literature von Al-Nahhas, Omar Farooq, Haris, Aysha Simran, Raad, Yousif Basim, Alkheder, Khaled Alaboud, Miyata, Kenichi

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Weakly Supervised Deep Learning Predicts Immunotherapy Response in Solid Tumors Based on PD-L1 Expression von Ligero, Marta, Serna, Garazi, El Nahhas, Omar S M, Sansano, Irene, Mauchanski, Siarhei, Viaplana, Cristina, Calderaro, Julien, Toledo, Rodrigo A, Dienstmann, Rodrigo, Vanguri, Rami S, Sauter, Jennifer L, Sanchez-Vega, Francisco, Shah, Sohrab P, Ramón Y Cajal, Santiago, Garralda, Elena, Nuciforo, Paolo, Perez-Lopez, Raquel, Kather, Jakob Nikolas

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Direct image to subtype prediction for brain tumors using deep learning von Hewitt, Katherine J, Löffler, Chiara M L, Muti, Hannah Sophie, Berghoff, Anna Sophie, Eisenlöffel, Christian, van Treeck, Marko, Carrero, Zunamys I, El Nahhas, Omar S M, Veldhuizen, Gregory P, Weil, Sophie, Saldanha, Oliver Lester, Bejan, Laura, Millner, Thomas O, Brandner, Sebastian, Brückmann, Sascha, Kather, Jakob Nikolas

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Pulmonary Artery Intimal Sarcoma Mimicking Right Ventricular Outflow Tract Thrombus von Shereef, Hammam, Nahhas, Omar, Galazka, Patrycja, Port, Steven C, Muthukumar, Lakshmi

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A Rare Case of a Chemical Burn: Dithranol with Salicylic Acid von Selvaraj, Dharshanan Raj, Adjei, Bismark, Farooq AL-NAHHAS, Omar, Kamil, Lutfi, Yonjan, Indira

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Athlete ECG T-wave abnormality interpretation patterns by non-experts von Torabi, Asad J., Nahhas, Omar D., Dunn, Reginald E., Martinez, Matthew W., Tucker, Andrew M., Lincoln, Andrew E., Kovacs, Richard J., Emery, Michael S.

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Incremental Value of Global Longitudinal Strain for Predicting Survival in Patients With Advanced AL Amyloidosis von Lee Chuy, Katherine, Drill, Esther, Yang, Ji Can, Landau, Heather, Hassoun, Hani, Nahhas, Omar, Chen, Carol L., Yu, Anthony F., Steingart, Richard M., Liu, Jennifer E.

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Artificial intelligence-based pathology as a biomarker of sensitivity to atezolizumab–bevacizumab in patients with hepatocellular carcinoma: a multicentre retrospective study von Zeng, Qinghe, Klein, Christophe, Caruso, Stefano, Maille, Pascale, Allende, Daniela S, Mínguez, Beatriz, Ningarhari, Massih, Casadei-Gardini, Andrea, Rimini, Margherita, Perbellini, Riccardo, Boulagnon-Rombi, Camille, Rela, Mohamed, Vij, Mukul, Baulande, Sylvain, Lameiras, Sonia, Allende, Daniela S, Amaddeo, Giuliana, Argemi, Josepmaria, Beaufrère, Aurélie, Bermúdez-Ramos, María, Boulagnon-Rombi, Camille, Boursier, Jérôme, Calderaro, Julien, Campani, Claudia, Caruso, Stefano, Casadei-Gardini, Andrea, Castano Garcia, Andres, Chan, Stephen Lam, Di Tommaso, Luca, Digklia, Antonia, Garcia-Porrero, Guillermo, Ghaffari Laleh, Narmin, Gopal, Purva, Graham, Rondell P., Iavarone, Massimo, Iñarrairaegui, Mercedes, Kather, Jakob Nikolas, Klein, Christophe, Labgaa, Ismail, Lameiras, Sonia, Legoix, Patricia, Lequoy, Marie, Leung, Howard Ho-Wai, Loménie, Nicolas, Maggioni, Marco, Maille, Pascale, Marín-Zuluaga, Juan Ignacio, Mendoza-Pacas, Guillermo, Mínguez, Beatriz, El Nahhas, Omar S M, Nault, Jean-Charles, Ningarhari, Massih, Paradis, Valérie, Park, Young Nyun, Pawlotsky, Jean-Michel, Pedica, Federica, Perbellini, Riccardo, Pinato, David James, Pinter, Matthias, Radu, Pompilia, Regnault, Hélène, Reig, Maria, Rela, Mohamed, Rhee, Hyungjin, Rimassa, Lorenza, Sangro, Bruno, Scheiner, Bernhard, Sempoux, Christine, Su, Tung-Hung, Torres, Callie, Trépo, Eric, Varela, Maria, Verset, Gontran, Vij, Mukul, Vogel, Arndt, Zeng, Qinghe, Ziol, Marianne, Bruges, Léa, Gnemmi, Viviane, Nault, Jean-Charles, Campani, Claudia, Rhee, Hyungjin, Park, Young Nyun, Garcia-Porrero, Guillermo, Argemi, Josepmaria, Sangro, Bruno, D'Alessio, Antonio, Scheiner, Bernhard, Pinato, David James, Pinter, Matthias, Paradis, Valérie, Beaufrère, Aurélie, Peter, Simon, Rimassa, Lorenza, Di Tommaso, Luca, Vogel, Arndt, Michalak, Sophie, Boursier, Jérôme, Ziol, Marianne, Calderaro, Julien

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Bystander Response and Out-of-Hospital Cardiac Arrest Outcomes (Bro. Study) in 3 Gulf Countries: Protocol for a Prospective, Observational, International Collaboration Study von Farooq, Munawar, Al Jufaili, Mahmood, Hanjra, Faisal K, Ahmad, Shabbir, Dababneh, Emad Hanna, Al Nahhas, Omar, Bashir, Khalid

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GLOBAL LONGITUDINAL STRAIN PATTERNS AND ATHLETE ECG CLASSIFICATION IN AMERICAN STYLE FOOTBALL PLAYERS von Nahhas, Omar, Torabi, Asad, Dunn, Reginald, Martinez, Matthew, Tucker, Andrew, Lincoln, Andrew, Kovacs, Richard, Emery, Michael

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Concurrent Explant of Infected Transcatheter Aortic Valve and Implant of Ventricular Assist Device von Abood, Zaid, Jan, M. Fuad, Nahhas, Omar, Allaqaband, Suhail Q., Bajwa, Tanvir, Weiss, Eric S.

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ECG INTERPRETATION IN ATHLETES: LESSONS FROM A “REAL WORLD” EXPERIENCE IN AMERICAN STYLE FOOTBALL PLAYERS von Torabi, Asad J., Nahhas, Omar, Dunn, Reginald, Martinez, Matthew, Tucker, Andrew, Lincoln, Andrew, Kovacs, Richard, Emery, Michael

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Cardiovascular Complications Associated with Mediastinal Radiation von Lee Chuy, Katherine, Nahhas, Omar, Dominic, Paari, Lopez, Carlos, Tonorezos, Emily, Sidlow, Robert, Straus, David, Gupta, Dipti

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INCREMENTAL VALUE OF GLS FOR CLASSIFICATION OF PROGNOSIS IN PATIENTS WITH ADVANCED LIGHT CHAIN (AL) AMYLOIDOSIS von Nahhas, Omar, Chuy, Katherine Lee, Yang, Ji Can, Landau, Heather, Drill, Heather, Hassoun, Hani, Chen, Carol L., Yu, Anthony F., Steingart, Richard M., Liu, Jennifer E.

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DOES LIGHT CHAIN SUPPRESSION THERAPY IMPROVE CARDIAC STRUCTURE AND FUNCTION IN PATIENTS WITH ADVANCED AL AMYLOIDOSIS? von Nahhas, Omar, Chuy, Katherine Lee, Yang, Ji Can, Landau, Heather, Chen, Carol L., Yu, Anthony F., Steingart, Richard M., Liu, Jennifer E.

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