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

Clinically distinct metabotypes of pediatric MASLD identified through unsupervised clustering of NASH CRN data

通过对 NASH CRN 数据进行无监督聚类，识别出儿童 MASLD 的临床不同代谢型

期刊:Nature Communications
影响因子:15.7
doi:10.1038/s41467-026-69735-z
Huneault, Helaina E; Tiwari, Pradeep; Jarrell, Zachery R; Smith, Matthew Ryan; Chen, Chih-Yu; Ramirez Tovar, Ana; Sanchez-Torres, Cristian; Gillespie, Scott; Bai, Shasha; Carrillo-Larco, Rodrigo M; Jain, Ajay K; Yates, Katherine P; Neuschwander-Tetri, Brent A; Schwimmer, Jeffrey B; Xanthakos, Stavra A; Molleston, Jean P; Behling, Cynthia A; Fishbein, Mark H; Hartman, Terryl J; Pasquel, Francisco J; Kamaleswaran, Rishikesan; Jones, Dean P; Welsh, Jean A; Vos, Miriam B
代谢
发表日期：2026
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A Framework and Method for Measuring the Implementation of Data Science in Critical Care

衡量重症监护领域数据科学实施情况的框架和方法

期刊:Critical Care Explorations
影响因子:2.7
doi:10.1097/CCE.0000000000001372
Woznica, Daniel; Al-Hakim, Tamara; Kumar, Vishakha K; Cobb, J Perren; Kamaleswaran, Rishikesan; Khanna, Ashish K; Laudanski, Krzysztof; Zimmerman, Jerry J; Reuter-Rice, Karin
发表日期：2026
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Predicting pulmonary hypertension in infants with bronchopulmonary dysplasia

预测患有支气管肺发育不良的婴儿的肺动脉高压

期刊:Journal of Perinatology
影响因子:2.4
doi:10.1038/s41372-026-02576-2
Foote, Henry P; Sun, Minghui; Goldstein, Benjamin Alan; Hill, Kevin D; Greenberg, Rachel G; Gentle, Samuel J; Zimmerman, Kanecia O; Kamaleswaran, Rishikesan; Tolia, Veeral N; Laughon, Matthew M; Jackson, Wesley; Hornik, Christoph P
肺动脉高压
发育与干细胞
心血管
发表日期：2026
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Machine Learning Risk Prediction for Treated Retinopathy of Prematurity in Infants

利用机器学习预测早产儿视网膜病变治疗后的风险

期刊:
影响因子:
doi:10.1159/000549574
Foote, Henry P; Ou, Yanchen J; Bhatt, Suchir; Engelhard, Matthew M; Bederman, Leonid; Laughon, Matthew M; Zimmerman, Kanecia O; Kamaleswaran, Rishikesan; Greenberg, Rachel G; Tolia, Veeral N; Hornik, Christoph P; Henao, Ricardo; Kumar, Karan R
视网膜病变
神经科学
发表日期：2026
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Association of the child opportunity index with in-hospital mortality and persistence of organ dysfunction at one week after onset of Phoenix Sepsis among children admitted to the pediatric intensive care unit with suspected infection

儿童机会指数与凤凰城脓毒症患儿院内死亡率以及发病一周后器官功能障碍持续存在之间的关联

期刊:PLOS Digital Health
影响因子:7.7
doi:10.1371/journal.pdig.0000763
Moore, Ronald; Chanci, Daniela; Brown, Stephanie R; Ripple, Michael J; Bishop, Natalie R; Grunwell, Jocelyn; Kamaleswaran, Rishikesan
炎症/感染
败血症
发表日期：2025
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Development of a Core Critical Care Data Dictionary With Common Data Elements to Characterize Critical Illness and Injuries Using a Modified Delphi Method

采用改进的德尔菲法开发包含通用数据元素的核心重症监护数据字典，以表征危重疾病和损伤。

期刊:Critical Care Medicine
影响因子:6
doi:10.1097/CCM.0000000000006595
Murphy, David J; Anderson, Wesley; Heavner, Smith H; Al-Hakim, Tamara; Cruz-Cano, Raul; Laudanski, Krzysztof; Kamaleswaran, Rishikesan; Badawi, Omar; Engel, Heidi; Grunwell, Jocelyn; Herasevich, Vitaly; Khanna, Ashish K; Lamb, Keith; MacLaren, Robert; Rincon, Teresa; Sanchez-Pinto, Lazaro; Sikora, Andrea N; Stevens, Robert D; Tanner, Donna; Teeter, William; Wong, An-Kwok Ian; Wynn, James L; Zhang, Xiaohan T; Zimmerman, Jerry J; Kumar, Vishakha; Cobb, J Perren; Reuter-Rice, Karin E
发表日期：2025
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Transcriptomic mortality signature defines high-risk neonatal sepsis endotype

转录组死亡率特征定义了高危新生儿败血症内型

期刊:Frontiers in Immunology
影响因子:5.9
doi:10.3389/fimmu.2025.1601316
Al Gharaibeh, Faris N; Huang, Min; Wynn, James L; Kamaleswaran, Rishikesan; Atreya, Mihir R
败血症
发表日期：2025
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Neutrophil dysregulation differentiates pediatric septic shock biomarker-based mortality-risk strata: insights from weighted gene co-expression network and transcriptomic analyses

中性粒细胞失调可区分基于生物标志物的儿童脓毒性休克死亡风险分层：来自加权基因共表达网络和转录组分析的见解

期刊:Frontiers in Immunology
影响因子:5.9
doi:10.3389/fimmu.2025.1663704
Dunwoodie, Leland; Huang, Min; Moore, Andrew R; Stanski, Natalja L; Standage, Stephen W; Kaplan, Jennifer M; Zingarelli, Basilia; Harmon, Kelli; Fitzgerald, Julie C; Weiss, Scott L; Bigham, Michael T; Schwarz, Adam J; Lutfi, Riad; Thomas, Neal J; Haileselassie, Bereketeab; Jain, Parag N; Sweeney, Timothy E; Kamaleswaran, Rishikesan; Atreya, Mihir R; Lautz, Andrew J
细胞生物学
毒理研究
中性粒细胞
粒细胞
发表日期：2025
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Evaluating the impact of common clinical confounders on performance of deep-learning-based sepsis risk assessment

评估常见临床混杂因素对基于深度学习的脓毒症风险评估性能的影响

期刊:Frontiers in Artificial Intelligence
影响因子:4.7
doi:10.3389/frai.2025.1452471
Chaganti, Shikha; Singh, Vivek; Gent, Alasdair Edward; Kamaleswaran, Rishikesan; Kamen, Ali
炎症/感染
败血症
发表日期：2025
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Tackling the small imbalanced horizontal dataset regressions by Stability Selection and SMOGN: a case study of ventilation-free days prediction in the pediatric intensive care unit and the importance of PRISM

利用稳定性选择和SMOGN方法解决小规模不平衡水平数据集回归问题：以儿科重症监护病房无创通气天数预测为例，探讨PRISM的重要性

期刊:International Journal of Medical Informatics
影响因子:4.1
doi:10.1016/j.ijmedinf.2025.105809
Rad, Milad; Rafiei, Alireza; Grunwell, Jocelyn; Kamaleswaran, Rishikesan
SMO
MOG
发表日期：2025
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