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Kangming Li

Showing results (1-10 of 27) with videos related to

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Scientific Reports|April 12, 2025
Clinical prediction study on the risk of atrial fibrillation in hypertensive patients based on metabolism, inflammation, and gender differencesKangming Li, Ya'nan Hu, Jing Wang, et al.
Frontiers in Cardiovascular Medicine|April 8, 2026
The association between coronary microvascular dysfunction and HbA1c in patients with unstable angina pectorisKangming Li, Jing Wang, Shuang Liu, et al.
Reviews in Cardiovascular Medicine|January 27, 2025
Analysis of Metabolic Risk Factors for Microcirculation Disorders Post-Percutaneous Coronary Intervention and Predictive Model Construction: A Study on Patients with Unstable AnginaKangming Li, Shuang Liu, Jing Wang, et al.
Frontiers in Aging|June 24, 2026
Coronary angiography-derived microcirculatory resistance predicts adverse cardiovascular events in elderly with unstable angina post-percutaneous coronary interventionKangming Li, Lele Wang, Panqing Liao, et al.
Materials Science & Engineering. C, Materials for Biological Applications|March 10, 2015
Superelasticity, corrosion resistance and biocompatibility of the Ti-19Zr-10Nb-1Fe alloyPengfei Xue, Yan Li, Kangming Li, et al.
Cureus|August 4, 2023
Myocardial Perfusion in ST-Segment Elevation Myocardial Infarction Patients After Percutaneous Coronary Intervention: Influencing Factors and Intervention StrategiesNan Tang, Xuejin Chen, Kangming Li, et al.
Nature Communications|January 4, 2024
Publisher Correction: Exploiting redundancy in large materials datasets for efficient machine learning with less dataKangming Li, Daniel Persaud, Kamal Choudhary, et al.
Nature Communications|November 10, 2023
Exploiting redundancy in large materials datasets for efficient machine learning with less dataKangming Li, Daniel Persaud, Kamal Choudhary, et al.
International Journal of General Medicine|March 24, 2025
Prognostic Value of the Triglyceride-Glucose Index Combined with Non-HDL-C/HDL-C Ratio for Predicting Coronary Microvascular Dysfunction in ACS Patients Post-PCISitong Hang, Nan Tang, Kangming Li, et al.
Frontiers in Oncology|February 13, 2025
Transcriptome profiling revealed multiple circadian rhythm-related genes associated with common gynecological cancersLan Peng, Meiping Jiang, Kangming Li, et al.
Pageof 3

Showing results (1-10 of 27) with videos related to

Sort By:
Pageof 3
Scientific Reports|April 12, 2025
Clinical prediction study on the risk of atrial fibrillation in hypertensive patients based on metabolism, inflammation, and gender differencesKangming Li, Ya'nan Hu, Jing Wang, et al.
Frontiers in Cardiovascular Medicine|April 8, 2026
The association between coronary microvascular dysfunction and HbA1c in patients with unstable angina pectorisKangming Li, Jing Wang, Shuang Liu, et al.
Reviews in Cardiovascular Medicine|January 27, 2025
Analysis of Metabolic Risk Factors for Microcirculation Disorders Post-Percutaneous Coronary Intervention and Predictive Model Construction: A Study on Patients with Unstable AnginaKangming Li, Shuang Liu, Jing Wang, et al.
Frontiers in Aging|June 24, 2026
Coronary angiography-derived microcirculatory resistance predicts adverse cardiovascular events in elderly with unstable angina post-percutaneous coronary interventionKangming Li, Lele Wang, Panqing Liao, et al.
Materials Science & Engineering. C, Materials for Biological Applications|March 10, 2015
Superelasticity, corrosion resistance and biocompatibility of the Ti-19Zr-10Nb-1Fe alloyPengfei Xue, Yan Li, Kangming Li, et al.
Cureus|August 4, 2023
Myocardial Perfusion in ST-Segment Elevation Myocardial Infarction Patients After Percutaneous Coronary Intervention: Influencing Factors and Intervention StrategiesNan Tang, Xuejin Chen, Kangming Li, et al.
Nature Communications|January 4, 2024
Publisher Correction: Exploiting redundancy in large materials datasets for efficient machine learning with less dataKangming Li, Daniel Persaud, Kamal Choudhary, et al.
Nature Communications|November 10, 2023
Exploiting redundancy in large materials datasets for efficient machine learning with less dataKangming Li, Daniel Persaud, Kamal Choudhary, et al.
International Journal of General Medicine|March 24, 2025
Prognostic Value of the Triglyceride-Glucose Index Combined with Non-HDL-C/HDL-C Ratio for Predicting Coronary Microvascular Dysfunction in ACS Patients Post-PCISitong Hang, Nan Tang, Kangming Li, et al.
Frontiers in Oncology|February 13, 2025
Transcriptome profiling revealed multiple circadian rhythm-related genes associated with common gynecological cancersLan Peng, Meiping Jiang, Kangming Li, et al.
Pageof 3