TY  -  
T1  - Artificial intelligence, machine learning, and drug repurposing in cancer 
SN  -  /  
UR  - http://hdl.handle.net/10138/334562 
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A1  - Tanoli, Ziaurrehman; Vähä-Koskela, Markus; Aittokallio, Tero 
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PB  -  
Y1  - 2021 
LA  - eng 
AB  - Introduction: Drug repurposing provides a cost-effective strategy to re-use approved drugs for new medical indications. Several machine learning (ML) and artificial intelligence (AI) approaches have been developed for systematic identification of drug repurposing leads based on big data resources, hence further accelerating and de-risking the drug development process by computational means. Areas covered: The authors focus on supervised ML and AI methods that make use of publicly available datab... 
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KW  - Drug repurposing; precision oncology; machine learning; artificial intelligence; target repositioning; 113 Computer and information sciences 
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ER  -