中国临床医学2024，Vol.31Issue(5)：691-695,5.DOI:10.12025/j.issn.1008-6358.2024.20241086
基于单细胞检测的临床转化新模式——临床人工智能单细胞
Clinical and translational mode of single-cell measurements:clinical artificial intelligent single-cell
王向东 1Charles A.Powell 2马勤 3樊嘉4
作者信息
- 1. 上海市临床生物信息学研究所,上海 200030,中国||复旦大学临床生物信息学中心,上海 200030,中国||复旦大学附属中山医院呼吸科,上海 200032,中国
- 2. 西奈山伊坎医学院肺部、重症监护和睡眠医学科,纽约,美国
- 3. 俄亥俄州立大学医学院生物医学信息系计算生物学与生物信息学部,纽约,美国
- 4. 复旦大学附属中山医院肝肿瘤外科,上海 200032,中国||复旦大学肝癌研究所,复旦大学生物医学研究院,癌变与侵袭原理教育部重点实验室,上海 200030,中国
- 折叠
摘要
Abstract
With rapid development and maturity of single-cell measurements,single-cell biology and pathology has become an emerging discipline to understand the disease.However,it is important to address concerns raised by clinicians as to how to apply single-cell measurements for clinical practice,translate the signals of single-cell systems biology into determination of clinical phenotype,and predict patient response to therapies.This paper proposes a new system coined as the clinical artificial intelligent single-cell(caiSC)with the dynamic generator of clinical single-cell informatics,artificial intelligent analyzers,molecular multimodal reference boxes,clinical inputs and outputs,and AI-based computerization.This system provides reliable and rapid information for impacting clinical diagnoses,monitoring,and prediction of the disease at the single-cell level.The caiSC represents an important step and milestone to translate the single-cell measurement into clinical application,assist clinicians'decision-making,and improve the quality of medical services.There is increasing evidence to support the possibility of the caiSC proposal,since the corresponding biotechnologies associated with caiSCs are rapidly developed.Therefore,we call the special attention and efforts from various scientists and clinicians on the caiSCs and believe that the appearance of the caiSCs can shed light on the future of clinical molecular medicine.关键词
人工智能/基因测序/医疗/多组学/单细胞生物学/临床人工智能单细胞Key words
artificial intelligence/gene sequencing/medicine/multi-omics/single-cell biology/clinical artificial intelligent single-cell分类
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王向东,Charles A.Powell,马勤,樊嘉..基于单细胞检测的临床转化新模式——临床人工智能单细胞[J].中国临床医学,2024,31(5):691-695,5.
