徳島大学 教育・研究者情報データベース(EDB)

1. 常山 幸一([徳島大学.大学院医歯薬学研究部.医学域.医科学部門.病理系.疾患病理学])

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2. (英) Morimoto Yuki / (日) 森本 友樹 / (読) もりもと ゆうき

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   学籍番号	推奨	****

3. (英) Kaji Shoma / (日) 加地 将真 / (読) かぢ しょうま

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4. 尾矢 剛志([徳島大学.大学院医歯薬学研究部.医学域.医科学部門.病理系.分子病理学])

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(英) Progress of Artificial Intelligence and Molecular Pathology

(日) AIと分子病理学の新展開

(英) 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.

1. (英) artificial intelligence
2. (英) molecular pathology
3. (英) mass spectrometry
4. (英) cytology
5. (英) liquid biopsy

1. 常山 幸一([徳島大学.大学院医歯薬学研究部.医学域.医科学部門.病理系.疾患病理学])