89P Machine learning models predict selinexor tolerability and efficacy

Autor:	Y. Landesman, D. Van Domelen, Eran Shacham, Jatin J. Shah, F. Yang, S. Shacham, C. Walker, D. Borochov, I. Mercier, S. Tang, Y. Artstein
Rok vydání:	2020
Předmět:	Oncology Tolerability business.industry Medicine Hematology Artificial intelligence business Machine learning computer.software_genre computer
Zdroj:	Annals of Oncology. 31:S277
ISSN:	0923-7534
DOI:	10.1016/j.annonc.2020.08.210
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::550271c123fdfbe9d8a3cafa65b25805 https://doi.org/10.1016/j.annonc.2020.08.210 Zobrazit plný text záznamu