Leveraging Machine Learning Techniques to Forecast Patient Prognosis After Percutaneous Coronary Intervention by Zack, Chad J., Senecal, Conor, Kinar, Yaron, Metzger, Yaakov, Bar-Sinai, Yoav, Widmer, R. Jay, Lennon, Ryan, Singh, Mandeep, Bell, Malcolm R., Lerman, Amir, Gulati, Rajiv

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Early Colorectal Cancer Detected by Machine Learning Model Using Gender, Age, and Complete Blood Count Data by Hornbrook, Mark C., Goshen, Ran, Choman, Eran, O’Keeffe-Rosetti, Maureen, Kinar, Yaron, Liles, Elizabeth G., Rust, Kristal C.

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Performance analysis of a machine learning flagging system used to identify a group of individuals at a high risk for colorectal cancer by Kinar, Yaron, Akiva, Pinchas, Choman, Eran, Kariv, Revital, Shalev, Varda, Levin, Bernard, Narod, Steven A, Goshen, Ran

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Adenosine-to-inosine RNA editing shapes transcriptome diversity in primates by Paz-Yaacov, Nurit, Levanon, Erez Y., Nevo, Eviatar, Kinar, Yaron, Harmelin, Alon, Jacob-Hirsch, Jasmine, Amariglio, Ninette, Eisenberg, Eli, Rechavi, Gideon

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Machine Learning for Early Lung Cancer Identification Using Routine Clinical and Laboratory Data by Gould, Michael K, Huang, Brian Z, Tammemagi, Martin C, Kinar, Yaron, Shiff, Ron

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Development and validation of a predictive model for detection of colorectal cancer in primary care by analysis of complete blood counts: a binational retrospective study by Kinar, Yaron, Kalkstein, Nir, Akiva, Pinchas, Levin, Bernard, Half, Elizabeth E, Goldshtein, Inbal, Chodick, Gabriel, Shalev, Varda

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Systematic antigenic profiling of hematopoietic antigens on ovarian carcinoma cells identifies membrane proteins for targeted therapy development by Helpman, Limor, MD, Katz, Ben-Zion, PhD, Safra, Tamar, MD, Schreiber, Letizia, MD, Levine, Zurit, PhD, Nemzer, Sergey, PhD, Kinar, Yaron, PhD, Grisaru, Dan, MD, PhD

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Spectrum of Response to Platinum and PARP Inhibitors in Germline BRCA-Associated Pancreatic Cancer in the Clinical and Preclinical Setting by Stossel, Chani, Raitses-Gurevich, Maria, Atias, Dikla, Beller, Tamar, Glick Gorman, Yulia, Halperin, Sharon, Peer, Eyal, Denroche, Robert E, Zhang, Amy, Notta, Faiyaz, Wilson, Julie M, O'Kane, Grainne M, Haimov Talmoud, Elina, Amison, Nora, Schvimer, Michael, Salpeter, Seth J, Bar, Vered, Zundelevich, Adi, Tirosh, Itay, Tal, Rotem, Dinstag, Gal, Kinar, Yaron, Eliezer, Yonatan, Ben-David, Uri, Gavert, Nancy S, Straussman, Ravid, Gallinger, Steven J, Berger, Raanan, Golan, Talia

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Predicting the presence of colon cancer in members of a health maintenance organisation by evaluating analytes from standard laboratory records by Goshen, Ran, Mizrahi, Barak, Akiva, Pini, Kinar, Yaron, Choman, Eran, Shalev, Varda, Sopik, Victoria, Kariv, Revital, Narod, Steven A

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Evolutionarily conserved human targets of adenosine to inosine RNA editing by Levanon, Erez Y., Hallegger, Martina, Kinar, Yaron, Shemesh, Ronen, Djinovic-Carugo, Kristina, Rechavi, Gideon, Jantsch, Michael F., Eisenberg, Eli

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Prediction of Influenza Complications: Development and Validation of a Machine Learning Prediction Model to Improve and Expand the Identification of Vaccine-Hesitant Patients at Ri... by Wolk, Donna M, Lanyado, Alon, Tice, Ann Marie, Shermohammed, Maheen, Kinar, Yaron, Goren, Amir, Chabris, Christopher F, Meyer, Michelle N, Shoshan, Avi, Abedi, Vida

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Is abundant A-to-I RNA editing primate-specific? by Eisenberg, Eli, Nemzer, Sergey, Kinar, Yaron, Sorek, Rotem, Rechavi, Gideon, Levanon, Erez Y.

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Correction to: Early Colorectal Cancer Detected by Machine Learning Model Using Gender, Age, and Complete Blood Count Data by Hornbrook, Mark C., Goshen, Ran, Choman, Eran, O’Keeffe-Rosetti, Maureen, Kinar, Yaron, Liles, Elizabeth G., Rust, Kristal C.

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Correction to: Early Colorectal Cancer Detected by Machine Learning Model Using Gender, Age, and Complete Blood Count Data by Hornbrook, Mark C, Goshen, Ran, Choman, Eran, O'Keeffe-Rosetti, Maureen, Kinar, Yaron, Liles, Elizabeth G, Rust, Kristal C

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Abstract 17973: Leveraging Machine Learning Techniques to Forecast Patient Prognosis After Percutaneous Coronary Intervention by Senecal, Conor, Zack, Chad J, Kinar, Yaron, Bar-Sinai, Yoav, Metzger, Yaakov, Hilevitz, Gabi, Lerman, Amir, Gulati, Rajiv

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UV/IR connection, a matrix perspective by Kinar, Yaron, Sonnenschein, Jacob, Lifschytz, Gilad

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Supergravity and worldvolume physics in the dual description of Script N = 1 theory by Kinar, Yaron, Loewy, Amit, Schreiber, Ehud, Sonnenschein, Jacob, Yankielowicz, Shimon

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Using machine learning to detect problems in ECG data collection by Kalkstein, N., Kinar, Y., Na'aman, M., Neumark, N., Akiva, P.

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Supergravity and worldvolume physics in the dual description of = 1 theory by Kinar, Yaron, Loewy, Amit, Schreiber, Ehud, Sonnenschein, Jacob, Yankielowicz, Shimon

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Is abundant A-to-I RNA editing primate-specific? by Eisenberg, Eli, Nemzer, Sergey, Kinar, Yaron, Sorek, Rotem, Rechavi, Gideon, Levanon, Erez Y

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