Can computers conceive the complexity of cancer to cure it? Using artificial intelligence technology in cancer modelling and drug discovery

Mathematical Biosciences and Engineering

Rachael C. Adams¹  Behnam Rashidieh¹ 

[1] QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, QLD 4006, Australia;

关键词: artificial intelligence;    machine learning;    deep learning;    cancer modeling;    drug discovery;   

DOI  :  10.3934/mbe.2020340

来源: DOAJ

【 摘 要 】

Drug discovery and the development of safe and effective therapeutics is an intricate procedure, further complicated in the context of cancer research by the inherent heterogeneity and complexity of the disease. To address the difficulties of identifying, validating, and pursuing a promising drug target, artificial intelligence (AI) technologies including machine learning (ML) have been adopted at all stages throughout the drug development pipeline. Various methods are widely employed to efficiently process and learn from experimental data sets, with agent-based models garnering thorough interest due to their ability to model individual cell populations with aberrant phenotypes. The predictive power of artificial intelligence modelling techniques founded in comprehensive datasets and automated decision-making generates an obvious avenue of interest for application in the drug discovery pipeline.

【 授权许可】

Unknown