Recent applications of artificial intelligence in RNA-targeted small molecule drug discovery

Morishita, Ella Czarina; Nakamura, Shingo

doi:10.1080/17460441.2024.2313455

Expert Opinion on Drug Discovery

2024

DOI: 10.1080/17460441.2024.2313455

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Recent applications of artificial intelligence in RNA-targeted small molecule drug discovery

Ella Czarina Morishita,

Shingo Nakamura

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2024

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Applications of artificial intelligence in digital pathology for gastric cancer

Chen,

Ding,

Guo

et al. 2024

Front. Oncol.

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Gastric cancer is one of the most common cancers and is one of the leading causes of cancer-related deaths in worldwide. Early diagnosis and treatment are essential for a positive outcome. The integration of artificial intelligence in the pathology field is increasingly widespread, including histopathological images analysis. In recent years, the application of digital pathology technology emerged as a potential solution to enhance the understanding and management of gastric cancer. Through sophisticated image analysis algorithms, artificial intelligence technologies facilitate the accuracy and sensitivity of gastric cancer diagnosis and treatment and personalized therapeutic strategies. This review aims to evaluate the current landscape and future potential of artificial intelligence in transforming gastric cancer pathology, so as to provide ideas for future research.

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Applications of artificial intelligence in digital pathology for gastric cancer

Chen,

Ding,

Guo

et al. 2024

Front. Oncol.

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Recent applications of artificial intelligence in RNA-targeted small molecule drug discovery

Cited by 1 publication

References 113 publications

Applications of artificial intelligence in digital pathology for gastric cancer

Applications of artificial intelligence in digital pathology for gastric cancer

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