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

Mapping B cells and the immune landscape of tertiary lymphoid structures reveals their clinical impact in neuroblastoma

绘制B细胞图谱和三级淋巴结构的免疫图谱揭示了它们在神经母细胞瘤中的临床意义

期刊:Journal for ImmunoTherapy of Cancer
影响因子:10.6
doi:10.1136/jitc-2025-012860
Melaiu, Ombretta; Chierici, Marco; Gragera, Paula; Lazzaro, Nicolò; Petrilli, Lucia L; Wienke, Judith; Bergsma, Francisca J; Verhoeven, Bronte Manouk; De Stefanis, Cristiano; D'Oria, Valentina; Benedetti, Maria C; Barillari, Giovanni; Alaggio, Rita; De Ioris, Maria Antonietta; Vinci, Maria; Baryawno, Ninib; Carsetti, Rita; Jurman, Giuseppe; Molenaar, Jan J; Locatelli, Franco; Fruci, Doriana
B细胞
细胞生物学
免疫/内分泌
发表日期：2025
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The Venus score for the assessment of the quality and trustworthiness of biomedical datasets

Venus评分用于评估生物医学数据集的质量和可信度

期刊:Biodata Mining
影响因子:6.1
doi:10.1186/s13040-024-00412-x
Chicco, Davide; Fabris, Alessandro; Jurman, Giuseppe
发表日期：2025
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A simple guide to the use of Student's t-test, Mann-Whitney U test, Chi-squared test, and Kruskal-Wallis test in biostatistics

生物统计学中学生t检验、Mann-Whitney U检验、卡方检验和Kruskal-Wallis检验的简要使用指南

期刊:Biodata Mining
影响因子:6.1
doi:10.1186/s13040-025-00465-6
Chicco, Davide; Sichenze, Andrea; Jurman, Giuseppe
发表日期：2025
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Neuropsychological and clinical variables associated with cognitive trajectories in patients with Alzheimer's disease

阿尔茨海默病患者认知轨迹相关的神经心理学和临床变量

期刊:Frontiers in Aging Neuroscience
影响因子:4.5
doi:10.3389/fnagi.2025.1565006
Riello, Marianna; Moroni, Monica; Bovo, Stefano; Ragni, Flavio; Buganza, Manuela; Di Giacopo, Raffaella; Chierici, Marco; Gios, Lorenzo; Pardini, Matteo; Massa, Federico; Dallabona, Monica; Vanzetta, Elisa; Campi, Cristina; Piana, Michele; Garbarino, Sara; Marenco, Manuela; Osmani, Venet; Jurman, Giuseppe; Uccelli, Antonio; Giometto, Bruno
阿尔茨海默症
神经科学
发表日期：2025
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Machine Learning Predicts Risk of Falls in Parkison's Disease Patients in a Multicenter Observational Study

机器学习预测帕金森病患者跌倒风险的多中心观察性研究

期刊:European Journal of Neurology
影响因子:3.9
doi:10.1111/ene.70118
Malaguti, Maria Chiara; Longo, Chiara; Moroni, Monica; Ragni, Flavio; Bovo, Stefano; Chierici, Marco; Gios, Lorenzo; Avanzino, Laura; Marchese, Roberta; Di Biasio, Francesca; Pardini, Matteo; Cerne, Denise; Mandich, Paola; Marenco, Manuela; Uccelli, Antonio; Giometto, Bruno; Jurman, Giuseppe; Osmani, Venet
帕金森
神经科学
发表日期：2025
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Reply to Comments on the Article "Machine Learning Predicts Risk of Falls in Parkinson's Disease Patients in a Multicenter Observational Study"

回复关于文章“机器学习在多中心观察性研究中预测帕金森病患者跌倒风险”的评论

期刊:European Journal of Neurology
影响因子:3.9
doi:10.1111/ene.70281
Malaguti, Maria Chiara; Longo, Chiara; Moroni, Monica; Ragni, Flavio; Bovo, Stefano; Chierici, Marco; Gios, Lorenzo; Avanzino, Laura; Marchese, Roberta; Di Biasio, Francesca; Pardini, Matteo; Cerne, Denise; Mandich, Paola; Marenco, Manuela; Uccelli, Antonio; Giometto, Bruno; Jurman, Giuseppe; Osmani, Venet; Network, NeuroArt P
帕金森
神经科学
发表日期：2025
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Machine Learning Analysis Applied to Prediction of Early Progression Independent of Relapse Activity in Multiple Sclerosis Patients

机器学习分析在预测多发性硬化症患者早期进展（与复发活动无关）中的应用

期刊:European Journal of Neurology
影响因子:3.9
doi:10.1111/ene.70417
Poretto, Valentina; Endrizzi, Walter; Betti, Matteo; Bovo, Stefano; Bellinvia, Angelo; Ragni, Flavio; Lapucci, Caterina; Moroni, Monica; Marangoni, Sabrina; Portaccio, Emilio; Longo, Chiara; Gios, Lorenzo; Chierici, Marco; Jurman, Giuseppe; Giometto, Bruno; Inglese, Matilde; Osmani, Venet; Marenco, Manuela; Uccelli, Antonio; Amato, Maria Pia
神经科学
多发性硬化症
发表日期：2025
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Deep resequencing unveils novel SNPs, InDels, and large structural variants for the clonal fingerprinting of sweet orange [Citrus sinensis (L.) Osbeck]

深度重测序揭示了甜橙[Citrus sinensis (L.) Osbeck]克隆指纹图谱的新型SNP、InDel和大型结构变异。

期刊:Plant Genome
影响因子:3.8
doi:10.1002/tpg2.20544
Scaglione, Davide; Ciacciulli, Angelo; Gattolin, Stefano; Caruso, Marco; Marroni, Fabio; Casas, Giuseppina Las; Jurman, Irena; Licciardello, Grazia; Catara, Antonino Felice; Rossini, Laura; Licciardello, Concetta; Morgante, Michele
发表日期：2025
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Generative AI mitigates representation bias and improves model fairness through synthetic health data

生成式人工智能通过合成健康数据来减轻表征偏差并提高模型公平性。

期刊:PLoS Computational Biology
影响因子:3.6
doi:10.1371/journal.pcbi.1013080
Marchesi, Raffaele; Micheletti, Nicolo; I-Hsien Kuo, Nicholas; Barbieri, Sebastiano; Jurman, Giuseppe; Osmani, Venet
发表日期：2025
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Comment on "Using genomic data and machine learning to predict antibiotic resistance: A tutorial paper"

对“利用基因组数据和机器学习预测抗生素耐药性：一篇教程论文”的评论

期刊:PLoS Computational Biology
影响因子:3.6
doi:10.1371/journal.pcbi.1013673
Chicco, Davide; Jurman, Giuseppe
发表日期：2025
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