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Machine learning‐based gene alteration prediction model for primary lung cancer using cytologic images

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Background: Understanding the gene alteration status of primary lung cancers is important for determining treatment strategies, but gene testing is both time‐consuming and costly, limiting its application in clinical practice.… Click to show full abstract

Background: Understanding the gene alteration status of primary lung cancers is important for determining treatment strategies, but gene testing is both time‐consuming and costly, limiting its application in clinical practice. Here, potential therapeutic targets were selected by predicting gene alterations in cytologic specimens before conventional gene testing.

Keywords: gene; gene alteration; cancer; primary lung

Journal Title: Cancer Cytopathology
Year Published: 2022

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