Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Ophir Gal"'
Predicting Complete Remission of Acute Myeloid Leukemia: Machine Learning Applied to Gene Expression
Publikováno v:
Cancer Informatics, Vol 18 (2019)
Machine learning (ML) is a useful tool for advancing our understanding of the patterns and significance of biomedical data. Given the growing trend on the application of ML techniques in precision medicine, here we present an ML technique which predi
Externí odkaz:
https://doaj.org/article/cc5849bc961446f4899cf10ef81cf0d8
Autor:
Brandon H Bergsneider, Elizabeth Vera, Ophir Gal, Alexa Christ, Amanda L King, Alvina Acquaye, Anna Choi, Heather E Leeper, Tito Mendoza, Lisa Boris, Eric Burton, Nicole Lollo, Marissa Panzer, Marta Penas-Prado, Tina Pillai, Lily Polskin, Jing Wu, Mark R Gilbert, Terri S Armstrong, Orieta Celiku
Publikováno v:
Neurooncol Adv
BackgroundPrecision health approaches to managing symptom burden in primary brain tumor (PBT) patients are imperative to improving patient outcomes and quality of life, but require tackling the complexity and heterogeneity of the symptom experience.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::680b1b875a7fcc81e9c498927f43ed78
https://europepmc.org/articles/PMC9938652/
https://europepmc.org/articles/PMC9938652/
Autor:
Brandon Bergsneider, Elizabeth Vera, Ophir Gal, Alexa Christ, Amanda King, Alvina Acquaye, Anna Choi, Heather Leeper, Tito Mendoza, Lisa Boris, Eric Burton, Nicole Lollo, Marissa Panzer, Marta Penas-Prado, Valentina Pillai, Lily Polskin, Jing Wu, Mark Gilbert, Terri Armstrong, Orieta Celiku
Publikováno v:
Neuro-Oncology. 24:vii205-vii206
BACKGROUND Precision health approaches to managing symptom burden in primary brain tumor (PBT) patients are imperative to improving patient outcomes and quality of life. Network Analysis (NA) identifies complex symptom co-severity patterns across lar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c4cc8b0699cd063dc26b4525265ad44
https://doi.org/10.1093/neuonc/noac209.790
https://doi.org/10.1093/neuonc/noac209.790
Autor:
Ophir Gal, Ramani Duraiswami
Publikováno v:
2021 Immersive and 3D Audio: from Architecture to Automotive (I3DA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4366d1501d1f1edea95b93b5c600286d
https://doi.org/10.1109/i3da48870.2021.9610975
https://doi.org/10.1109/i3da48870.2021.9610975
Autor:
Ophir, Gal, Amariglio, Ninette, Jacob-Hirsch, Jasmine, Elkon, Ran, Rechavi, Gideon, Michaelson, Daniel M.
Publikováno v:
In Neurobiology of Disease December 2005 20(3):709-718
Autor:
Ophir, Gal, Meilin, Sigal, Efrati, Margalit, Chapman, Joab, Karussis, Dimitri, Roses, Allen, Michaelson, Daniel M
Publikováno v:
In Neurobiology of Disease 2003 12(1):56-64
Predicting Complete Remission of Acute Myeloid Leukemia: Machine Learning Applied to Gene Expression
Publikováno v:
Cancer Informatics
Cancer Informatics, Vol 18 (2019)
Cancer Informatics, Vol 18 (2019)
Machine learning (ML) is a useful tool for advancing our understanding of the patterns and significance of biomedical data. Given the growing trend on the application of ML techniques in precision medicine, here we present an ML technique which predi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a29d9b6156e73347980a65e6f064590
https://doi.org/10.1177/1176935119835544
https://doi.org/10.1177/1176935119835544
Autor:
Bures, Jan, Kopin, Irwin, McEwen, Bruce, Pribram, Karl, Rosenblatt, Jay, Weiskranz, Lawrence, Fisher, Abraham, Memo, Maurizio, Stocchi, Fabrizio, Hanin, Israel, Ophir, Gal, Mizrahi, Liza, Michaelson, Daniel M.
Publikováno v:
Advances in Alzheimer's & Parkinson's Disease; 2008, p343-353, 11p
Autor:
Shmist, Yelena A, Kamburg, Roman, Ophir, Gal, Kozak, Alex, Shneyvays, Vladimir, Appelbaum, Yori J, Shainberg, Asher
Publikováno v:
The Journal of Pharmacology and Experimental Therapeutics; June 2005, Vol. 313 Issue: 3 p1046-57, 12p
Publikováno v:
In Alzheimer's & Dementia: The Journal of the Alzheimer's Association 2006 2(3) Supplement:S75-S75