日期 影响因子
日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:
–

Using interpretable machine learning to predict bloodstream infection and antimicrobial resistance in patients admitted to ICU: Early alert predictors based on EHR data to guide antimicrobial stewardship

利用可解释的机器学习预测ICU患者的血流感染和抗菌素耐药性：基于电子病历数据的早期预警预测器指导抗菌药物管理

期刊:PLOS Digital Health
影响因子:7.7
doi:10.1371/journal.pdig.0000641
Ferrari, Davide; Arina, Pietro; Edgeworth, Jonathan; Curcin, Vasa; Guidetti, Veronica; Mandreoli, Federica; Wang, Yanzhong
炎症/感染
流感
微生物学
发表日期：2024
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Combining large language models with enterprise knowledge graphs: a perspective on enhanced natural language understanding

将大型语言模型与企业知识图谱相结合：增强自然语言理解的视角

期刊:Frontiers in Artificial Intelligence
影响因子:4.7
doi:10.3389/frai.2024.1460065
Mariotti, Luca; Guidetti, Veronica; Mandreoli, Federica; Belli, Andrea; Lombardi, Paolo
发表日期：2024
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Dynamic configuration and data security for bioinformatics cloud services with the Laniakea Dashboard

使用 Laniakea 控制面板实现生物信息学云服务的动态配置和数据安全

期刊:NAR Genomics and Bioinformatics
影响因子:2.8
doi:10.1093/nargab/lqae140
Tangaro, Marco Antonio; Antonacci, Marica; Donvito, Giacinto; Foggetti, Nadina; Mandreoli, Pietro; Colombo, Daniele; Pesole, Graziano; Zambelli, Federico
发表日期：2024
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The interplay of post-acute COVID-19 syndrome and aging: a biological, clinical and public health approach

新冠肺炎后急性期综合征与衰老的相互作用：生物学、临床和公共卫生方法

期刊:Ageing Research Reviews
影响因子:12.4
doi:10.1016/j.arr.2022.101686
Guaraldi, Giovanni; Milic, Jovana; Cesari, Matteo; Leibovici, Leonard; Mandreoli, Federica; Missier, Paolo; Rozzini, Renzo; Cattelan, Anna Maria; Motta, Federico; Mussini, Cristina; Cossarizza, Andrea
肺炎
新冠
衰老
微生物学
发表日期：2022
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miRNAs Copy Number Variations Repertoire as Hallmark Indicator of Cancer Species Predisposition

miRNA拷贝数变异谱系作为癌症物种易感性的标志性指标

期刊:Genes
影响因子:2.8
doi:10.3390/genes13061046
Vischioni, Chiara; Bove, Fabio; De Chiara, Matteo; Mandreoli, Federica; Martoglia, Riccardo; Pisi, Valentino; Liti, Gianni; Taccioli, Cristian
miRNA
肿瘤
肿瘤免疫
发表日期：2022
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Real-world data mining meets clinical practice: Research challenges and perspective

真实世界数据挖掘与临床实践：研究挑战与展望

期刊:Frontiers in Big Data
影响因子:2.3
doi:10.3389/fdata.2022.1021621
Mandreoli, Federica; Ferrari, Davide; Guidetti, Veronica; Motta, Federico; Missier, Paolo
发表日期：2022
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Laniakea@ReCaS: exploring the potential of customisable Galaxy on-demand instances as a cloud-based service

Laniakea@ReCaS：探索可定制的Galaxy按需实例作为云服务的潜力

期刊:BMC Bioinformatics
影响因子:3.3
doi:10.1186/s12859-021-04401-3
Tangaro, Marco Antonio; Mandreoli, Pietro; Chiara, Matteo; Donvito, Giacinto; Antonacci, Marica; Parisi, Antonio; Bianco, Angelica; Romano, Angelo; Bianchi, Daniela Manila; Cangelosi, Davide; Uva, Paolo; Molineris, Ivan; Nosi, Vladimir; Calogero, Raffaele A; Alessandri, Luca; Pedrini, Elena; Mordenti, Marina; Bonetti, Emanuele; Sangiorgi, Luca; Pesole, Graziano; Zambelli, Federico
发表日期：2021
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Editorial: Big Data Management in Industry 4.0

社论：工业4.0中的大数据管理

期刊:Frontiers in Big Data
影响因子:2.3
doi:10.3389/fdata.2021.788491
Firmani, Donatella; Leotta, Francesco; Mandreoli, Federica; Mecella, Massimo
发表日期：2021
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Laniakea: an open solution to provide Galaxy "on-demand" instances over heterogeneous cloud infrastructures

Laniakea：一种开放解决方案，可在异构云基础设施上提供 Galaxy“按需”实例

期刊:Gigascience
影响因子:3.9
doi:10.1093/gigascience/giaa033
Tangaro, Marco Antonio; Donvito, Giacinto; Antonacci, Marica; Chiara, Matteo; Mandreoli, Pietro; Pesole, Graziano; Zambelli, Federico
发表日期：2020
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Developing and validating an algorithm to identify incident chronic dialysis patients using administrative data

利用行政数据开发和验证一种识别新发慢性透析患者的算法

期刊:BMC Medical Informatics and Decision Making
影响因子:3.8
doi:10.1186/s12911-020-01206-x
Gibertoni, Dino; Voci, Claudio; Iommi, Marica; D'Ercole, Benedetta; Mandreoli, Marcora; Santoro, Antonio; Mancini, Elena
发表日期：2020
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