Learning to learn: Single session acquisition of new rules by freely moving mice von Levi, Amir, Aviv, Noam, Stark, Eran

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Learning to learn: Single session acquisition of new rules by freely-moving mice - dataset von Levi, Amir, Aviv, Noam, Stark, Eran

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Myocarditis after Covid-19 Vaccination in a Large Health Care Organization von Witberg, Guy, Barda, Noam, Hoss, Sara, Richter, Ilan, Wiessman, Maya, Aviv, Yaron, Grinberg, Tzlil, Auster, Oren, Dagan, Noa, Balicer, Ran D, Kornowski, Ran

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Financial Cross-Ownership and Information Dissemination in a Supply Chain von Aviv, Yossi, Shamir, Noam

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Metabolomic and microbiome profiling reveals personalized risk factors for coronary artery disease von Talmor-Barkan, Yeela, Bar, Noam, Shaul, Aviv A., Shahaf, Nir, Godneva, Anastasia, Bussi, Yuval, Lotan-Pompan, Maya, Weinberger, Adina, Shechter, Alon, Chezar-Azerrad, Chava, Arow, Ziad, Hammer, Yoav, Chechi, Kanta, Forslund, Sofia K., Fromentin, Sebastien, Dumas, Marc-Emmanuel, Ehrlich, S. Dusko, Pedersen, Oluf, Kornowski, Ran, Segal, Eran

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Opioid trends and risk factors for sustained use among children and adolescents in Israel: a retrospective cohort study von Tuttnauer, Aviv, Atias, Dor, Reznik, Orly, Shomron, Noam, Obolski, Uri

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Prediction of sustained opioid use in children and adolescents using machine learning von Atias, Dor, Tuttnauer, Aviv, Shomron, Noam, Obolski, Uri

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A Regression-Based Analysis of Ribosome-Profiling Data Reveals a Conserved Complexity to Mammalian Translation von Fields, Alexander P., Rodriguez, Edwin H., Jovanovic, Marko, Stern-Ginossar, Noam, Haas, Brian J., Mertins, Philipp, Raychowdhury, Raktima, Hacohen, Nir, Carr, Steven A., Ingolia, Nicholas T., Regev, Aviv, Weissman, Jonathan S.

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Adaptive modes of attention: Evidence from attentional networks von Linkovski, Omer, Katzin, Naama, Avitan, Aviv, Weinbach, Noam, Henik, Avishai

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Antiviral Polymers Based on N‑Halamine Polyurea von Steinman, Noam Y, Hu, Tan, Dombrovsky, Aviv, Reches, Meital, Domb, Abraham J

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Three invariant Hi-C interaction patterns: Applications to genome assembly von Oddes, Sivan, Zelig, Aviv, Kaplan, Noam

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Combinatorial Patterning of Chromatin Regulators Uncovered by Genome-wide Location Analysis in Human Cells von Ram, Oren, Goren, Alon, Amit, Ido, Shoresh, Noam, Yosef, Nir, Ernst, Jason, Kellis, Manolis, Gymrek, Melissa, Issner, Robbyn, Coyne, Michael, Durham, Timothy, Zhang, Xiaolan, Donaghey, Julie, Epstein, Charles B., Regev, Aviv, Bernstein, Bradley E.

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A comprehensive protocol for quantitative magnetic resonance imaging of the brain at 3 Tesla von Radunsky, Dvir, Solomon, Chen, Stern, Neta, Blumenfeld-Katzir, Tamar, Filo, Shir, Mezer, Aviv, Karsa, Anita, Shmueli, Karin, Soustelle, Lucas, Duhamel, Guillaume, Girard, Olivier M, Kepler, Gal, Shrot, Shai, Hoffmann, Chen, Ben-Eliezer, Noam

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Myocardial extracellular volume quantification by computed tomography predicts outcomes in patients with severe aortic stenosis von Hammer, Yoav, Talmor-Barkan, Yeela, Abelow, Aryeh, Orvin, Katia, Aviv, Yaron, Bar, Noam, Levi, Amos, Landes, Uri, Shafir, Gideon, Barsheshet, Alon, Vaknin-Assa, Hana, Sagie, Alexander, Kornowski, Ran, Hamdan, Ashraf

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Neural tissue tolerance to synthetic dural mater graft implantation in a rabbit durotomy model von Ramot, Yuval, Kronfeld, Noam, Steiner, Michal, Manassa, Nora Nseir, Bahar, Amir, Nyska, Abraham

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KMD clustering: robust general-purpose clustering of biological data von Zelig, Aviv, Kariti, Hagai, Kaplan, Noam

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Genome wide analysis implicates upregulation of proteasome pathway in major depressive disorder von Belaish, Shaked, Israel-Elgali, Ifat, Shapira, Guy, Krieger, Israel, Segev, Aviv, Nitzan, Uri, Majer, Michael, Bloch, Yuval, Weizman, Abraham, Gurwitz, David, Shomron, Noam, Hertzberg, Libi

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Newly diagnosed myeloma patients with low-burden disease may benefit from tandem autologous stem cell transplantation: results of long-term follow-up von Benyamini, Noam, Lavi, Noa, Zuckerman, Tsila, Aviv, Ariel, Rowe, Jacob M., Katz, Tamar

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Aberrant migration features in primary skin fibroblasts of Huntington's disease patients hold potential for unraveling disease progression using an image based machine learning too... von Gharaba, Saja, Shalem, Aviv, Paz, Omri, Muchtar, Noam, Wolf, Lior, Weil, Miguel

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Digital Interactive Quantitative Curiosity Assessment Tool: Questions Worlds von Tor, Noam, Gordon, Goren

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