Predicting time to castration resistance in hormone sensitive prostate cancer by a personalization algorithm based on a mechanistic model integrating patient data.
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Employing dynamical computational models for personalizing cancer immunotherapy.Modeling the Relationship Between Exposure to Abiraterone and Prostate-Specific Antigen Dynamics in Patients with Metastatic Castration-Resistant Prostate Cancer.Intermediate PSA half-life after neoadjuvant hormone therapy predicts reduced risk of castration-resistant prostate cancer development after radical prostatectomy.
P2860
Predicting time to castration resistance in hormone sensitive prostate cancer by a personalization algorithm based on a mechanistic model integrating patient data.
description
2015 nî lūn-bûn
@nan
2015 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2015 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
name
Predicting time to castration ...... odel integrating patient data.
@ast
Predicting time to castration ...... odel integrating patient data.
@en
type
label
Predicting time to castration ...... odel integrating patient data.
@ast
Predicting time to castration ...... odel integrating patient data.
@en
prefLabel
Predicting time to castration ...... odel integrating patient data.
@ast
Predicting time to castration ...... odel integrating patient data.
@en
P2093
P2860
P356
P1433
P1476
Predicting time to castration ...... odel integrating patient data.
@en
P2093
Debashis Nandy
Graham H Bevan
Ilan Shukrun
Kyle M McKenzie
Manish Kohli
Moran Elishmereni
Yuri Kheifetz
P2860
P356
10.1002/PROS.23099
P577
2015-09-30T00:00:00Z