• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

From Single-omics to Clinically Integrated Multi-omics: Towards Bio-Clinical AI.

作者信息

Carraro Silvia, Martinez Fernando D

机构信息

University of Padova , Department of Women's and Children's Health, Padova, Italy.

The University of Arizona Asthma & Airway Disease Research Center, Tucson, Arizona, United States;

出版信息

Am J Respir Crit Care Med. 2025 Mar 24;211(5):672-3. doi: 10.1164/rccm.202501-0231ED.

DOI:10.1164/rccm.202501-0231ED
PMID:40126440
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12091009/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c25/12091009/8dd8454750c7/rccm.202501-0231EDf1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c25/12091009/8dd8454750c7/rccm.202501-0231EDf1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c25/12091009/8dd8454750c7/rccm.202501-0231EDf1.jpg

相似文献

1
From Single-omics to Clinically Integrated Multi-omics: Towards Bio-Clinical AI.从单组学到临床整合多组学:迈向生物临床人工智能。
Am J Respir Crit Care Med. 2025 Mar 24;211(5):672-3. doi: 10.1164/rccm.202501-0231ED.
2
Artificial Intelligence (AI)-Based Systems Biology Approaches in Multi-Omics Data Analysis of Cancer.基于人工智能的癌症多组学数据分析中的系统生物学方法
Front Oncol. 2020 Oct 14;10:588221. doi: 10.3389/fonc.2020.588221. eCollection 2020.
3
Machine learning and multi-omics integration: advancing cardiovascular translational research and clinical practice.机器学习与多组学整合:推动心血管转化研究与临床实践
J Transl Med. 2025 Apr 2;23(1):388. doi: 10.1186/s12967-025-06425-2.
4
Towards a unified framework for single-cell -omics-based disease prediction through AI.迈向通过人工智能实现基于单细胞组学的疾病预测统一框架。
Clin Transl Med. 2025 Apr;15(4):e70290. doi: 10.1002/ctm2.70290.
5
Artificial Intelligence-Driven Precision Medicine: Multi-Omics and Spatial Multi-Omics Approaches in Diffuse Large B-Cell Lymphoma (DLBCL).人工智能驱动的精准医学:弥漫性大B细胞淋巴瘤(DLBCL)中的多组学和空间多组学方法
Front Biosci (Landmark Ed). 2024 Nov 28;29(12):404. doi: 10.31083/j.fbl2912404.
6
Advances in Integrated Multi-omics Analysis for Drug-Target Identification.整合多组学分析在药物靶点识别中的进展。
Biomolecules. 2024 Jun 14;14(6):692. doi: 10.3390/biom14060692.
7
mosGraphGen: a novel tool to generate multi-omics signaling graphs to facilitate integrative and interpretable graph AI model development.mosGraphGen:一种用于生成多组学信号图以促进集成且可解释的图人工智能模型开发的新型工具。
bioRxiv. 2024 Aug 27:2024.05.15.594360. doi: 10.1101/2024.05.15.594360.
8
mosGraphGen: a novel tool to generate multi-omics signaling graphs to facilitate integrative and interpretable graph AI model development.mosGraphGen:一种用于生成多组学信号图以促进集成且可解释的图人工智能模型开发的新型工具。
Bioinform Adv. 2024 Oct 8;4(1):vbae151. doi: 10.1093/bioadv/vbae151. eCollection 2024.
9
An Integrated Multi-Omics and Artificial Intelligence Framework for Advance Plant Phenotyping in Horticulture.用于园艺作物高级表型分析的集成多组学与人工智能框架
Biology (Basel). 2023 Sep 30;12(10):1298. doi: 10.3390/biology12101298.
10
Integrating Omics Data and AI for Cancer Diagnosis and Prognosis.整合组学数据与人工智能用于癌症诊断和预后评估
Cancers (Basel). 2024 Jul 3;16(13):2448. doi: 10.3390/cancers16132448.

本文引用的文献

1
Exploring the Varied Clinical Presentation of Pediatric Asthma through the Metabolome.通过代谢组学探索儿童哮喘的多样临床表现
Am J Respir Crit Care Med. 2025 Feb 18. doi: 10.1164/rccm.202407-1382OC.
2
Integrating hot topics and implementation of treatable traits in asthma.整合哮喘的热点话题及可治疗特征的实施
Eur Respir J. 2024 Dec 5;64(6). doi: 10.1183/13993003.00861-2024. Print 2024 Dec.
3
Deep multiomic profiling reveals molecular signatures that underpin preschool wheeze and asthma.深度多组学分析揭示了构成学龄前喘息和哮喘基础的分子特征。
J Allergy Clin Immunol. 2025 Jan;155(1):94-106. doi: 10.1016/j.jaci.2024.08.017. Epub 2024 Aug 28.
4
Embedding AI in biology.将人工智能融入生物学。
Nat Methods. 2024 Aug;21(8):1365-1366. doi: 10.1038/s41592-024-02391-7.
5
Common Data Elements Repository.通用数据元素库。
Med Ref Serv Q. 2024 Apr-Jun;43(2):182-190. doi: 10.1080/02763869.2024.2323896. Epub 2024 May 9.
6
Metabolomics Applied to Pediatric Asthma: What Have We Learnt in the Past 10 Years?代谢组学在儿童哮喘中的应用:过去十年我们学到了什么?
Children (Basel). 2023 Aug 25;10(9):1452. doi: 10.3390/children10091452.
7
Application of Metabolomics in Obesity-Related Childhood Asthma Subtyping: A Narrative Scoping Review.代谢组学在肥胖相关儿童哮喘亚型分型中的应用:一项叙述性综述
Metabolites. 2023 Feb 23;13(3):328. doi: 10.3390/metabo13030328.
8
Treatable Traits in Airway Disease: From Theory to Practice.气道疾病可治疗的特征:从理论到实践。
J Allergy Clin Immunol Pract. 2023 Mar;11(3):713-723. doi: 10.1016/j.jaip.2023.01.011. Epub 2023 Feb 1.
9
The Precision Interventions for Severe and/or Exacerbation-Prone (PrecISE) Asthma Network: An overview of Network organization, procedures, and interventions.精准干预严重和/或易恶化型(PrecISE)哮喘网络:网络组织、程序和干预概述。
J Allergy Clin Immunol. 2022 Feb;149(2):488-516.e9. doi: 10.1016/j.jaci.2021.10.035. Epub 2021 Nov 29.
10
Urinary metabotype of severe asthma evidences decreased carnitine metabolism independent of oral corticosteroid treatment in the U-BIOPRED study.在 U-BIOPRED 研究中,严重哮喘的尿代谢组型证据表明,肉毒碱代谢减少与口服皮质类固醇治疗无关。
Eur Respir J. 2022 Jun 30;59(6). doi: 10.1183/13993003.01733-2021. Print 2022 Jun.