Prediction of sperm extraction in non-obstructive azoospermia patients: a machine-learning perspective von Zeadna, A, Khateeb, N, Rokach, L, Lior, Y, Har-Vardi, I, Harlev, A, Huleihel, M, Lunenfeld, E, Levitas, E

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Pseudo contrastive labeling for predicting IVF embryo developmental potential von Erlich, I., Ben-Meir, A., Har-Vardi, I., Grifo, J., Wang, F., Mccaffrey, C., McCulloh, D., Or, Y., Wolf, L.

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Foucault pendulum properties of spherical oscillators von Flückiger, P., Vardi, I., Henein, S.

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Flexure Pivot Oscillator With Intrinsically Tuned Isochronism von Thalmann, E, Kahrobaiyan, M. H, Vardi, I, Henein, S

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Can slight glucose intolerance during pregnancy predict future maternal atherosclerotic morbidity? von Charach, R., Wolak, T., Shoham-Vardi, I., Sergienko, R., Sheiner, E.

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Reply: Predicting sperm extraction in non-obstructive azoospermia patients: a machine-learning perspective von Zeadna, A, Khateeb, N, Rokach, L, Lior, Y, Har-Vardi, I, Harlev, A, Huleihel, M, Lunenfeld, E, Levitas, E

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Isotropic springs based on parallel flexure stages von Rubbert, L., Bitterli, R., Ferrier, N., Fifanski, S., Vardi, I., Henein, S.

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Cell-free DNA and telomere length among women undergoing in vitro fertilization treatment von Czamanski-Cohen, J., Sarid, O., Cwikel, J., Douvdevani, A., Levitas, E., Lunenfeld, E., Har-Vardi, I.

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Statin use is associated with a reduction in the incidence of esophageal adenocarcinoma: a case control study von Beales, I. L. P., Vardi, I., Dearman, L., Broughton, T.

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Does cryopreservation of sperm affect ICSI fertilization rates in patients with non-obstructive azoospermia or cryptozoospermia? von Har-Vardi, I, Schachter, N, Friger, M, Zeadna, A, Lunenfeld, E, Levitas, E

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Prognosis of a live birth for women that had previously achieved a chemical pregnancy using IVF von Man, L, Aricha-Tamir, B, Har Vardi, I, Levitas, E, Lunenfeld, E

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DNA topoisomerases I and II in human mature sperm cells: characterization and unique properties von Har-Vardi, I., Mali, R., Breietman, M., Sonin, Y., Albotiano, S., Levitas, E., Potashnik, G., Priel, E.

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Suspected macrosomia? Better not tell von Sadeh-Mestechkin, D., Walfisch, A., Shachar, R., Shoham-Vardi, I., Vardi, H., Hallak, M.

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Practicing cognitive behavioral interventions (CBI) increases pregnancy rates in women undergoing IVF von Czamanski-Cohen, J, Sarid, O, Cwikel, J, Zeadna, A, Levitas, E, Har-Vardi, I

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A comparison between acoustic output indices in 2D and 3D/4D ultrasound in obstetrics von Sheiner, E., Hackmon, R., Shoham‐Vardi, I., Pombar, X., Hussey, M. J., Strassner, H. T., Abramowicz, J. S.

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Management of problems related to the new morbidity by community-based paediatricians in Israel von Oren, K., Shoham-Vardi, I., Reichman, B., Horev, Z., Katz, M., Porter, B.

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Termination of pregnancy: attitudes and behavior of women in a traditional society von Shoham-Vardi, I., Weiner, N., Weitzman, D., Levcovich, A.

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P-235 An analysis of qualitative and quantitative morphokinetic parameters automatically annotated using CHLOE (Fairtility), an AI-based tool, finds AI score predictive of blastula... von Gómez, E, Brualla-Mora, A, Almunia, N, Jiménez, R, Hickman, C, Har-vardi, I, Villaquirán, A.M

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Placental abruption in term pregnancies: clinical significance and obstetric risk factors von Sheiner, E., Shoham-Vardi, I., Hallak, M., Hadar, A., Gortzak-Uzan, L., Katz, M., Mazor, M.

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1285P Deep learning prediction of response to advanced-generation ALK inhibitors (aALKi) in ALK-rearranged advanced NSCLC (aNSCLC) patients using digital pathology von Stemmer, A., Parikh, K., Lo, Y-C., Shakya, P., Klaisuban, W., Vardi, I., Urban, D., Gantz Sorotsky, H., Onn, A., Kalmanovitz, G., Ofek, E., Barshack, I., Bar, J.

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