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Food Chemistry
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May 25, 2020
Semi-quantitative evaluation of seafood spoilage using filter-paper strips loaded with an aggregation-induced emission luminogen
Yonghua Jiang, Zhaowei Zhong, Weixin Ou, et al.
Cellular Signalling
|
December 3, 2023
SH2D4A inhibits esophageal squamous cell carcinoma progression through FAK/PI3K/AKT signaling pathway
Haoming Shi, Jun Luo, Liu Ye, et al.
International Journal of General Medicine
|
December 4, 2024
Identification of Biomarkers Associated with Oxidative Stress in Aortic Dissection Based on Bulk Transcriptome Analyses
Zhenghao Li, Changying Li, Yue Shao, et al.
Journal of Inflammation Research
|
April 8, 2026
Circulating Plasma Proteins Influence the Risk of Aortic Dissection via Blood Pressure: A Network Mendelian Randomization and Multi-Omics Study
Zhenghao Li, Jian Liu, Xiaoxi Fan, et al.
Birth Defects Research
|
September 8, 2023
A machine learning model for predicting congenital heart defects from administrative data
Haoming Shi, Wendy Book, Cheryl Raskind-Hood, et al.
JMIR Formative Research
|
June 8, 2026
Supervised Fine-Tuning of Large Language Models With Chain-of-Thought Reasoning for Pediatric Heart Disease Detection in Unstructured Echocardiogram Reports: Algorithm Development and Validation
Haoming Shi, Justin B Long, Michael C Fiedorek, et al.
Research Square
|
April 3, 2026
Cardiovascular and Autonomic Phenotypes Reveal Distinct Mechanisms of Sepsis Decompensation via Deep Learning
Tilendra Choudhary, Haoming Shi, Ayman Ali, et al.
Journal of the American Heart Association
|
August 7, 2023
Positive Predictive Value of <i>International Classification of Diseases, Ninth Revision, Clinical Modification</i>, and <i>International Classification of Diseases, Tenth Revision, Clinical Modification</i>, Codes for Identification of Congenital Heart Defects
Lindsey C Ivey, Fred H Rodriguez, Haoming Shi, et al.
Birth Defects Research
|
March 4, 2025
Machine Learning and Natural Language Processing to Improve Classification of Atrial Septal Defects in Electronic Health Records
Yuting Guo, Haoming Shi, Wendy M Book, et al.
Scientific Reports
|
December 31, 2024
Integrated analyses of Mendelian randomization, eQTL, and single-cell transcriptome identify CCN3 as a potential biomarker in aortic dissection
Haoyu Ran, Changying Li, Syed M Musa Rizvi, et al.
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of 3
Search research articles
Search
Showing results (11-20 of 23) with videos related to
Sort By:
Page
of 3
Food Chemistry
|
May 25, 2020
Semi-quantitative evaluation of seafood spoilage using filter-paper strips loaded with an aggregation-induced emission luminogen
Yonghua Jiang, Zhaowei Zhong, Weixin Ou, et al.
Cellular Signalling
|
December 3, 2023
SH2D4A inhibits esophageal squamous cell carcinoma progression through FAK/PI3K/AKT signaling pathway
Haoming Shi, Jun Luo, Liu Ye, et al.
International Journal of General Medicine
|
December 4, 2024
Identification of Biomarkers Associated with Oxidative Stress in Aortic Dissection Based on Bulk Transcriptome Analyses
Zhenghao Li, Changying Li, Yue Shao, et al.
Journal of Inflammation Research
|
April 8, 2026
Circulating Plasma Proteins Influence the Risk of Aortic Dissection via Blood Pressure: A Network Mendelian Randomization and Multi-Omics Study
Zhenghao Li, Jian Liu, Xiaoxi Fan, et al.
Birth Defects Research
|
September 8, 2023
A machine learning model for predicting congenital heart defects from administrative data
Haoming Shi, Wendy Book, Cheryl Raskind-Hood, et al.
JMIR Formative Research
|
June 8, 2026
Supervised Fine-Tuning of Large Language Models With Chain-of-Thought Reasoning for Pediatric Heart Disease Detection in Unstructured Echocardiogram Reports: Algorithm Development and Validation
Haoming Shi, Justin B Long, Michael C Fiedorek, et al.
Research Square
|
April 3, 2026
Cardiovascular and Autonomic Phenotypes Reveal Distinct Mechanisms of Sepsis Decompensation via Deep Learning
Tilendra Choudhary, Haoming Shi, Ayman Ali, et al.
Journal of the American Heart Association
|
August 7, 2023
Positive Predictive Value of <i>International Classification of Diseases, Ninth Revision, Clinical Modification</i>, and <i>International Classification of Diseases, Tenth Revision, Clinical Modification</i>, Codes for Identification of Congenital Heart Defects
Lindsey C Ivey, Fred H Rodriguez, Haoming Shi, et al.
Birth Defects Research
|
March 4, 2025
Machine Learning and Natural Language Processing to Improve Classification of Atrial Septal Defects in Electronic Health Records
Yuting Guo, Haoming Shi, Wendy M Book, et al.
Scientific Reports
|
December 31, 2024
Integrated analyses of Mendelian randomization, eQTL, and single-cell transcriptome identify CCN3 as a potential biomarker in aortic dissection
Haoyu Ran, Changying Li, Syed M Musa Rizvi, et al.
Page
of 3