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

High-dimensional spatial proteomics and novel machine learning pipeline identifies disease specific renal damage states

高维空间蛋白质组学和新型机器学习流程可识别疾病特异性肾损伤状态

Cao, Thao; Torcasso, Madeleine S; Ai, Junting; Hara, Satoshi; Andrade, Michael S; Chang, Anthony; Casella, Gabriel; Chong, Anita S; Giger, Maryellen L; Clark, Marcus R

Lung adventitial fibroblasts support type 2 Tregs to shape the response to influenza infection

肺外膜成纤维细胞支持2型调节性T细胞,从而影响对流感感染的反应。

Chang, Anthony A; Balcerek, Joanna; Caryotakis, Sofia E; Pyper, Kennedi B; Matatia, Peri; Wells, Elina B; Tsukui, Tatsuya; Ewing-Crystal, Nathan A; Merrill, Eric Dean; Mroz, Nick M; Dahlgren, Madelene W; Cautivo, Kelly M; Taruselli, Marcela T; Nakao-Inoue, Hiromi; Molofsky, Anna V; Sheppard, Dean; Molofsky, Ari B

Immune cell quantification of in situ inflammation partitions human lupus nephritis into mechanistic subtypes.

通过对原位炎症进行免疫细胞定量分析,可将人类狼疮性肾炎划分为不同的机制亚型。

Casella Gabriel, Torcasso Madeleine S, Ai Junting, Cao Thao P, Hara Satoshi, Andrade Michael S, Ghosh Deepjyoti, Shao Daming, Chang Anthony, Ko Kichul, Chong Anita S, Giger Maryellen L, Clark Marcus R

Pediatric and Congenital Cardiac Services: An Innovative and Empowering Approach to Global Training and Equitable Care

儿科和先天性心脏病服务:一种创新且赋能的全球培训和公平护理模式

Lai, Wyman W; Vervoort, Dominique; Bradley, David; Cabrera, Antonio G; Culbertson, Casey; Floh, Alejandro; Gupta, Saurabh K; Hasan, Babar S; Holloway, Adrian; Jacobs, Jeffrey P; Jenkins, Kathy J; Kumar, R K; Larrazabal, L A; McMahon, Colin J; Penny, Daniel J; Phillips, Alistair; Quezada, Emilio; Sable, Craig A; Srivastava, Shubhika; Staveski, Sandra L; Suntharos, Patcharapong; Teitel, David F; Tirado, Betsy; Tran, Brian C; Zheleva, Bistra; Zuhkle, Liesl; Chang, Anthony C

Greater value add from electronic health records than polygenic risk scores for predicting myocardial infarction in machine learning

在机器学习中,电子健康记录比多基因风险评分更能有效地预测心肌梗死。

Isgut, Monica; Hornback, Andrew; Bao, Han; Sun, Yiting; Choi, Katherine; Anderson, Blake J; Deshpande, Shriprasad R; Chang, Anthony C; Wang, May D

Microbial influences on severity and sex bias of systemic autoimmunity

微生物对系统性自身免疫疾病严重程度和性别差异的影响

Lee, Jean; Reiman, Derek; Singh, Samara; Chang, Anthony; Morel, Laurence; Chervonsky, Alexander V

Promises, Pitfalls, and Clinical Applications of Artificial Intelligence in Pediatrics

人工智能在儿科领域的前景、挑战和临床应用

Bhargava, Hansa; Salomon, Carmela; Suresh, Srinivasan; Chang, Anthony; Kilian, Rachel; Stijn, Diana van; Oriol, Albert; Low, Daniel; Knebel, Ashley; Taraman, Sharief

Podocyte injury at young age causes premature senescence and worsens glomerular aging.

年轻时足细胞损伤会导致过早衰老,并加剧肾小球老化

Veloso Pereira Beatriz Maria, Zeng Yuting, Maggiore Joseph C, Schweickart Robert Allen, Eng Diana G, Kaverina Natalya, McKinzie Sierra R, Chang Anthony, Loretz Carol J, Thieme Karina, Hukriede Neil A, Pippin Jeffrey W, Wessely Oliver, Shankland Stuart J

Pseudo-spectral angle mapping for pixel and cell classification in highly multiplexed immunofluorescence images

伪光谱角映射用于高通量免疫荧光图像中的像素和细胞分类

Torcasso, Madeleine S; Ai, Junting; Casella, Gabriel; Cao, Thao; Chang, Anthony; Halper-Stromberg, Ariel; Jabri, Bana; Clark, Marcus R; Giger, Maryellen L

Pseudo-spectral angle mapping for automated pixel-level analysis of highly multiplexed tissue image data

用于高通量组织图像数据自动像素级分析的伪光谱角映射

Durkee, Madeleine S; Ai, Junting; Casella, Gabriel; Cao, Thao; Chang, Anthony; Halper-Stromberg, Ariel; Jabri, Bana; Clark, Marcus R; Giger, Maryellen L