Artificial intelligence-assisted drug repurposing via “chemical-induced gene expression ranking”

Takaaki Masuda; Koshi Mimori

doi:10.1016/j.patter.2022.100470

Artificial intelligence-assisted drug repurposing via “chemical-induced gene expression ranking”

Takaaki Masuda, Koshi Mimori

Surgery

Research output: Contribution to journal › Comment/debate › peer-review

Abstract

Drug repurposing using artificial intelligence algorithms is a powerful technique that leverages existing datasets to find new medical applications for approved drugs. Pham et al. developed CIGER, a deep learning framework to overcome unreliable data in the datasets and present repositioned drugs against pancreatic cancer.

Original language	English
Article number	100470
Journal	Patterns
Volume	3
Issue number	4
DOIs	https://doi.org/10.1016/j.patter.2022.100470
Publication status	Published - Apr 8 2022

All Science Journal Classification (ASJC) codes

Decision Sciences(all)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.patter.2022.100470

Cite this

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title = "Artificial intelligence-assisted drug repurposing via “chemical-induced gene expression ranking”",

abstract = "Drug repurposing using artificial intelligence algorithms is a powerful technique that leverages existing datasets to find new medical applications for approved drugs. Pham et al. developed CIGER, a deep learning framework to overcome unreliable data in the datasets and present repositioned drugs against pancreatic cancer.",

author = "Takaaki Masuda and Koshi Mimori",

note = "Funding Information: T.M. and K.M. are supported by the Japan Society for the Promotion of Science . Publisher Copyright: {\textcopyright} 2022 The Authors",

year = "2022",

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doi = "10.1016/j.patter.2022.100470",

language = "English",

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AU - Masuda, Takaaki

AU - Mimori, Koshi

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N2 - Drug repurposing using artificial intelligence algorithms is a powerful technique that leverages existing datasets to find new medical applications for approved drugs. Pham et al. developed CIGER, a deep learning framework to overcome unreliable data in the datasets and present repositioned drugs against pancreatic cancer.

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DO - 10.1016/j.patter.2022.100470

M3 - Comment/debate

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JO - Patterns

JF - Patterns

SN - 2666-3899

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ER -

Artificial intelligence-assisted drug repurposing via “chemical-induced gene expression ranking”

Abstract

All Science Journal Classification (ASJC) codes

UN SDGs

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