Zobrazeno 1 - 10
of 962
pro vyhledávání: '"Khan, Seema A"'
Autor:
Fabian, Carol J., Mudaranthakam, Dinesh Pal, Gajewski, Byron, Young, Kate, Winblad, Onalisa, Khan, Seema A., Garber, Judy E., Esserman, Laura J., Yee, Lisa D., Nye, Lauren, Powers, Kandy R., Ranallo, Lori, Kreutzjans, Amy L., Pittman, Krystal, Altman, Christy, Metheny, Trina, Zelenchuk, Adrian, Komm, Barry S., Kimler, Bruce F.
Publikováno v:
In Contemporary Clinical Trials November 2024 146
Ductal carcinoma in situ of the breast: finding the balance between overtreatment and undertreatment
Publikováno v:
In The Lancet 22-28 June 2024 403(10445):2734-2746
Autor:
Lee, Oukseub, Bazzi, Latifa A., Xu, Yanfei, Pearson, Erik, Wang, Minhua, Hosseini, Omid, Akasha, Azza M., Choi, Jennifer Nam, Karlan, Scott, Pilewskie, Melissa, Kocherginsky, Masha, Benante, Kelly, Helland, Thomas, Mellgren, Gunnar, Dimond, Eileen, Perloff, Marjorie, Heckman-Stoddard, Brandy M., Khan, Seema A.
Publikováno v:
In Biomedicine & Pharmacotherapy February 2024 171
Autor:
Khan, Seema Ahsan
Publikováno v:
In Surgical Oncology Clinics of North America October 2023 32(4):631-646
Autor:
Majid, Nabeela, Siddiqi, Mohammad Khursheed, Hassan, Md. Nadir, Malik, Sadia, Khan, Seema, Khan, Rizwan Hasan
Publikováno v:
In Biomaterials Advances August 2023 151
Autor:
Lee, Oukseub, Wang, Minhua, Hosseini, Omid, Bosland, Maarten C., Muzzio, Miguel, Helenowski, Irene, Khan, Seema A.
Publikováno v:
In Biomedicine & Pharmacotherapy June 2023 162
Autor:
Tsukioki, Takahiro1 (AUTHOR) ph4y4htb@okayama-u.ac.jp, Khan, Seema A.2 (AUTHOR), Shien, Tadahiko1 (AUTHOR)
Publikováno v:
Genes & Environment. 12/12/2023, Vol. 45 Issue 1, p1-11. 11p.
Extracting genetic information from a full range of sequencing data is important for understanding diseases. We propose a novel method to effectively explore the landscape of genetic mutations and aggregate them to predict cancer type. We used multin
Externí odkaz:
http://arxiv.org/abs/1809.10681
Accurately identifying distant recurrences in breast cancer from the Electronic Health Records (EHR) is important for both clinical care and secondary analysis. Although multiple applications have been developed for computational phenotyping in breas
Externí odkaz:
http://arxiv.org/abs/1806.04818
Autor:
Khan, Seema, Ahmed, Zahid Shahab
Publikováno v:
Journal of Contemporary China; Nov2024, Vol. 33 Issue 150, p1006-1020, 15p