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ID 114852
タイトル別表記
Progress of Artificial Intelligence and Molecular Pathology
著者
森本, 友樹 徳島大学
加地, 将真 徳島大学
キーワード
artificial intelligence
molecular pathology
mass spectrometry
cytology
liquid biopsy
資料タイプ
学術雑誌論文
抄録
A pathological diagnosis that incorporates a molecular biology technique into a conventional pathological diagnosis based on morphology is called a molecular pathological diagnosis. Immunostaining, which detects proteins derived from oncogenes and tumor suppressor genes with specific antibodies, and FISH, which uses a fluorescently labeled nucleic acid probe to examine the amplification of a target gene, are already in clinical practice. In recent years, the application of genome analysis using a next-generation sequencer to pathological diagnosis has become available, and cancer genomic medicine has been rapidly expanding and evolving. In addition, new technologies such as liquid biopsy technology that detects proteins, DNA, microRNA, methylated DNA, etc. from samples that are less invasive at the time of collection, such as blood, are being incorporated into pathological diagnosis. The application of artificial intelligence(AI)is being studied around the world to reflect the diagnosis. This article introduces the application of rapid mass spectrometry(PESI-MS)to liquid biopsy and the development of diagnostic aids for urine cytology using AI.
掲載誌名
四国医学雑誌
ISSN
00373699
cat書誌ID
AN00102041
出版者
徳島医学会
76
1-2
開始ページ
23
終了ページ
28
並び順
23
発行日
2020-04-25
EDB ID
フルテキストファイル
言語
jpn
著者版フラグ
出版社版
部局
医学系
病院