Dr. Yongkui Ren | Healthcare Applications | International Visionary in Computer Vision Award
Doctorate at The First Affiliated Hospital of Dalian Medical University, China
Profile
Summary
Dr. Yongkui Ren, a distinguished cardiovascular specialist, is currently 38 years old. He serves as the Associate Chief Physician in the Department of Cardiovascular Medicine at The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Education
Dr. Ren obtained his MD from Capital Medical University in Beijing, China. He completed his Master’s and Bachelor’s degrees at China Medical University in Shenyang, China, specializing in cardiovascular research and clinical practice.
Professional and Teaching Experience
Dr. Ren’s medical career began as a resident doctor in the Department of Cardiovascular Medicine at The First Affiliated Hospital of Dalian Medical University. Over the years, he advanced to Attending Physician and currently holds the position of Associate Chief Physician. His extensive experience in cardiovascular medicine has made him a valuable asset to his department.
Professional Society Membership
Dr. Ren is an active member of the Hypertension Prevention and Control Professional Committee of the Liaoning Primary Health Association, contributing to advancements in hypertension management and control.
Research Experience
Dr. Ren’s research journey began during his Master’s degree, focusing on myocardial ischemia-reperfusion injury. He continued his research at The First Affiliated Hospital of Dalian Medical University, where he successfully applied for grants and participated in significant multi-center clinical trials. His recent work during his Ph.D. involves the analysis of medical big data using machine learning methods for cohort analysis and prediction.
Future Research Directions:
Dr. Ren aims to further investigate the mechanisms behind coronary artery calcification and its progression. He is also interested in identifying markers related to coronary calcification and exploring their mechanisms through basic research. Additionally, he plans to leverage advanced statistical methods, such as R language and machine learning, for data mining and participate in multi-center clinical trials.
Publications
Mediating Effect of the NLR on the Relationship between HbA1c and Left Atrial Stiffness in Overweight Patients with Hypertension
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Authors: Zhang, R., Pan, Y., Ren, Y.K., Liu, Y., Jiang, Y.N.
- Journal: American Journal of Hypertension
- Year: 2024
Diagnostic accuracy of a novel optical coherence tomography-based fractional flow reserve algorithm for assessment of coronary stenosis significance
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Authors: Pan, W., Wei, W., Hu, Y., Leng, X., Yin, D.
- Journal: Cardiology Journal
- Year: 2024
Predictive value of machine learning algorithm of coronary artery calcium score and clinical factors for obstructive coronary artery disease in hypertensive patients
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Authors: Wang, M., Sun, M., Yu, Y., Ren, Y., Yin, D.
- Journal: BMC Medical Informatics and Decision Making
- Year: 2023
Triglyceride glucose index is associated with obstructive coronary artery disease in hypertensive patients
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Authors: Pan, W., Ren, Y., Yang, F., Li, X., Yin, D.
- Journal: Cardiovascular Diabetology
- Year: 2023
Association of triglyceride glucose index levels with calcification patterns and vulnerability of plaques: an intravascular ultrasound study
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Authors: Yin, D., Wang, M., Liu, X., Ren, Y., Liu, J.
- Journal: International Journal of Cardiovascular Imaging
- Year: 2023