Advancing the drug development process in metastatic prostate cancer through machine learning.

被引:0
|
作者
Quigley, David Alan
Hong, Julian C.
Lillis, Nicholas
Sabbagh, Ali
Friesner, Isabel D.
Bailey, Adina
Aggarwal, Rahul Raj
Zhang, Li
Chappidi, Meera Reddy
Singhal, Hari
Greshock, Joel
Zhang, Ke
Yu, Margaret K.
Small, Eric J.
机构
[1] Univ Calif San Francisco, San Francisco, CA USA
[2] Univ Calif San Francisco, Dept Radiat Oncol, San Francisco, CA USA
[3] Univ Calif San Francisco, Helen Diller Family Comprehens Canc Ctr, San Francisco, CA USA
[4] Helen Diller Family Comprehens Canc Ctr, San Francisco, CA USA
[5] Janssen Res & Dev, San Francisco, CA USA
[6] Janssen Res & Dev, Spring House, PA USA
[7] Janssen Res & Dev La Jolla, San Diego, CA USA
[8] Janssen Res & Dev LLC, Los Angeles, CA USA
关键词
613-135-2370-7650-2700; 227-133; 298-145-222-184; 3282-206-3896-11575; 613-4678-146-3542; 227-149-9863-9995; 3282-206-2798; 7; 3; 2; 38092-25779;
D O I
10.1200/JCO.2024.42.4_suppl.192
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
引用
收藏
页数:1
相关论文
共 50 条
  • [41] Machine Learning in Drug Discovery and Development
    Wale, Nikil
    DRUG DEVELOPMENT RESEARCH, 2011, 72 (01) : 112 - 119
  • [42] Machine learning applications in drug development
    Reda, Clemence
    Kaufmann, Emilie
    Delahaye-Duriez, Andree
    COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2020, 18 : 241 - 252
  • [43] Combining process skill development with guided inquiry to strengthen student learning.
    Creegan, FJ
    Bunce, DM
    Hanson, DM
    Moog, RS
    Spencer, JN
    Straumanis, A
    Wolfskill, TA
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2004, 227 : U410 - U410
  • [44] Premexotac: Machine learning bitterants predictor for advancing pharmaceutical development
    De Leon, Gerardo
    Frohlich, Eleonore
    Fink, Elisabeth
    Di Pizio, Antonella
    Salar-Behzadi, Sharareh
    INTERNATIONAL JOURNAL OF PHARMACEUTICS, 2022, 628
  • [45] Synergizing quantum techniques with machine learning for advancing drug discovery challenge
    Liang, Zhiding
    He, Zichang
    Sun, Yue
    Herman, Dylan
    Jiao, Qingyue
    Zhu, Yanzhang
    Jiang, Weiwen
    Xu, Xiaowei
    Wu, Di
    Pistoia, Marco
    Shi, Yiyu
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [46] A survey of the advancing use and development of machine learning in smart manufacturing
    Sharp, Michael
    Ak, Ronay
    Hedberg, Thomas, Jr.
    JOURNAL OF MANUFACTURING SYSTEMS, 2018, 48 : 170 - 179
  • [47] Machine Learning for Cancer Drug Combination
    Wang, Ziyan
    Li, Hongyang
    Guan, Yuanfang
    CLINICAL PHARMACOLOGY & THERAPEUTICS, 2020, 107 (04) : 749 - 752
  • [48] Metastatic development of prostate cancer and multidrug resistance
    Hsiao, Pei-Wen
    Tsai, Chin-Hsien
    Yang, Yu-Chih
    Lee, Ming-Ting
    Tsai, Mong-Hsun
    CANCER RESEARCH, 2011, 71
  • [49] Development of a machine learning model to predict overall survival results from randomized clinical trials of patients with metastatic prostate cancer.
    Sabbagh, Ali
    Quigley, David Alan
    Lillis, Nicholas
    Zhang, Li
    Friesner, Isabel D.
    Bailey, Adina
    Aggarwal, Rahul Raj
    Chappidi, Meera Reddy
    Singhal, Hari
    Zhang, Ke
    Greshock, Joel
    Li, Jinhui
    Yu, Margaret K.
    Small, Eric J.
    Hong, Julian C.
    JOURNAL OF CLINICAL ONCOLOGY, 2024, 42 (16)
  • [50] Advancing cervical cancer diagnosis and screening with spectroscopy and machine learning
    Ramirez, Carlos Meza A.
    Greenop, Michael
    Almoshawah, Yasser A.
    Hirsch, Pierre Martin L.
    Rehman, Ihtesham U.
    EXPERT REVIEW OF MOLECULAR DIAGNOSTICS, 2023, 23 (05) : 375 - 390