POTENTIAL FOR DRUG DEVELOPMENT USING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

被引：0
|
作者：
Kim, H. M. [1 ]
Park, T. [2 ]
机构：
[1] St Johns Univ, Bayside, NY USA
[2] St Johns Univ, Queens, NY USA
来源：
VALUE IN HEALTH | 2024年 / 27卷 / 06期
关键词：
D O I：
暂无
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
SA43
引用
收藏
页码：S403 / S403
页数：1
相关论文
共 50 条
  • [1] Artificial intelligence and machine learning in drug discovery and development
    Patel, Veer
    Shah, Manan
    [J]. Intelligent Medicine, 2022, 2 (03): : 134 - 140
  • [2] Application of artificial intelligence and machine learning methods in drug discovery and development
    Naranjo-Castaneda, Carlos
    Coello-Coello, Carlos A.
    Juaristi, Eusebio
    [J]. ARKIVOC, 2024,
  • [3] Rethinking Drug Repositioning and Development with Artificial Intelligence, Machine Learning, and Omics
    Koromina, Maria
    Pandi, Maria-Theodora
    Patrinos, George P.
    [J]. OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY, 2019, 23 (11) : 539 - 548
  • [4] Vaccine development using artificial intelligence and machine learning: A review
    Asediya, Varun S.
    Anjaria, Pranav A.
    Mathakiya, Rafiyuddin A.
    Koringa, Prakash G.
    Nayak, Jitendrakumar B.
    Bisht, Deepanker
    Fulmali, Devansh
    Patel, Vishal A.
    Desai, Dhruv N.
    [J]. International Journal of Biological Macromolecules, 2024, 282
  • [5] Design optimisation and development of thresher machine using artificial intelligence and machine learning
    Warghane, Rahul S.
    Pillai, Rajkumar E.
    [J]. INTERNATIONAL JOURNAL OF ENGINEERING SYSTEMS MODELLING AND SIMULATION, 2021, 12 (04) : 213 - 220
  • [6] Artificial Intelligence and Machine Learning Technology Driven Modern Drug Discovery and Development
    Sarkar, Chayna
    Das, Biswadeep
    Rawat, Vikram Singh
    Wahlang, Julie Birdie
    Nongpiur, Arvind
    Tiewsoh, Iadarilang
    Lyngdoh, Nari M.
    Das, Debasmita
    Bidarolli, Manjunath
    Sony, Hannah Theresa
    [J]. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2023, 24 (03)
  • [7] Artificial intelligence, machine learning, and drug repurposing in cancer
    Tanoli, Ziaurrehman
    Vaha-Koskela, Markus
    Aittokallio, Tero
    [J]. EXPERT OPINION ON DRUG DISCOVERY, 2021, 16 (09) : 977 - 989
  • [8] Artificial intelligence to deep learning: machine intelligence approach for drug discovery
    Gupta, Rohan
    Srivastava, Devesh
    Sahu, Mehar
    Tiwari, Swati
    Ambasta, Rashmi K.
    Kumar, Pravir
    [J]. MOLECULAR DIVERSITY, 2021, 25 (03) : 1315 - 1360
  • [9] Artificial intelligence to deep learning: machine intelligence approach for drug discovery
    Rohan Gupta
    Devesh Srivastava
    Mehar Sahu
    Swati Tiwari
    Rashmi K. Ambasta
    Pravir Kumar
    [J]. Molecular Diversity, 2021, 25 : 1315 - 1360
  • [10] Opportunities for Machine Learning and Artificial Intelligence to Advance Synthetic Drug Substance Process Development
    Griffin, Daniel J.
    Coley, Connor W.
    Frank, Scott A.
    Hawkins, Joel M.
    Jensen, Klavs F.
    [J]. ORGANIC PROCESS RESEARCH & DEVELOPMENT, 2023, 27 (11) : 1868 - 1879
12345