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Rahul Krishnan

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Articles

Computer Science > Machine Learning

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By Aditya Mehrotra, Rahul Krishnan
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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A multiagent large language model-based system to simulate the liver transplant selection committee: a retrospective cohort study

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By Frank Lee, Rahul Krishnan, Muhammad Mamdani
| The Lancet Verified
Introduction Solid organ transplantation is one of the few areas in medicine in which the definitive treatment is explicitly rationed, because the demand far exceeds the available allograft supply.
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Spatial proteo-transcriptomic profiling reveals the molecular landscape of borderline ovarian tumors and their invasive progression

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By Lisa Schweizer, Hilary A. Kenny, Rahul Krishnan, Agnes Bilecz, Janna Heide, Leonhard Donle, Aasa Shimizu, Andreas Metousis, Rachelle P. Mendoza, Thierry M. Nordmann, Sarah Rauch, Sabrina Richter, Florian A. Rosenberger, Maximilian T. Strauss, Katherine C. Kurnit, Marvin Thielert, EDWIN RODRIGUEZ, Edwin R. Rodríguez, Johannes B. Müller-Reif, S. Diane Yamada, Fabian J. Theis, Andreas Mund, Ricardo R. Lastra, Matthias Mann, Ernst Lengyel, Lucy Kelliher
| Cell Press Verified
Keywords ovarian cancer borderline tumor proteomics transcriptomics pathology mass spectrometry metastasis low-grade serous cancer deep visual proteomics Get full text access Log in, subscribe or purchase for full access. References 1. Slomovitz, B. ∙ Gourley, C. ∙ Carey, M.S. ... Low-grade serous ovarian cancer: State of the science Gynecol. Oncol. 2020; 156:715-725 2. Kelliher, L. ∙ Yoeli-Bik, R. ∙ Schweizer, L. ...
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