Current Research and Scholarly Interests
Full version (https://medium.com/@rjcc1017/current-research-and-scholarly-interests-bfc38bf84371)
Practicing over the years, with experience in robotic surgery, transplant surgery, aortic surgery, biostatistics, and artificial intelligence, I’ve co-authored several papers of the outcome prediction models for heart surgery, heart transplant, lung transplant and ECMO by using clinical databases and various regression models. My established expertise is to translate clinical questions and data into practical interpretations. I have a ready-made workflow and framework platform, consisting of PostgreSQL, SAS-9, SAS-Viya, and Stata-17, for data cross-linking, cleansing, analysis, reporting, interpretation, feedback, and re-iterating for revised hypotheses. A colleague may bring some clinical questions and some datasets to me, I will analyze on my statistical platforms, and then interpret them to answer the questions for reporting and publication. This research interest primarily uses parametric and non-parametric statistical comparisons, correlations, and regressions (linear, logistic, or Cox) to generate p-values, confidence intervals, correlation coefficients, regression coefficients, odds ratios, hazard ratios, ROC curves, AUC, Kaplan-Meier curves, etc., to elucidate various relationships among variables or covariates. This is conventional biostatistical analysis on clinical databases.
Here are some of the topics of my research proposals:
CTA Interpretation and surgical planning of aortic dissections by artificial
intelligence deep machine learning
Artificial Intelligence Prediction Model of the Outcomes of the Patients with Profound Cardiogenic Shock status post VA-ECMO
A Scoring System for Identifying Severe Cases of Influenza-like Illness by Comorbidity and Age — A Nationwide Cohort Analysis (http://dx.doi.org/10.3897/rio.2.e9648)
Clinical roles of soluble ST2 for the outcomes of cardiac valve operations — a study of hospital-based data (http://dx.doi.org/10.3897/rio.2.e8849)
Bi-directional immuno-modulation by Matrix Metalloproteinase-7 (MMP-7) and A Disintegrin and Metalloproteinase-17 (ADAM-17) as transplantation rejection-tolerance spectrum (http://dx.doi.org/10.3897/rio.2.e9268)
Here are some topics of the manuscripts in writing or submission:
Impact of the New Allocation Policy Change on Patients with Hypertrophic Cardiomyopathy — a study by UNOS data
Surgical outcomes of pericardiectomy for constrictive pericarditis — a study by national and hospital databases
The effect of hybrid operation on the outcomes of acute type-A aortic dissection — a study by hospital information system
Here is the topic I have been working on in Indiana University School of Medicine, Indianapolis, Indiana, USA, with Dr. Michael Sturek and Dr. Mouhamad Alloosh, Department of Anatomy, Cell Biology, & Physiology:
Calcium Physiology of Coronary Artery Smooth Muscle is Influenced by Atherosclerosis Risk Factors, Ischemic Cardiomyopathy, and Left Ventricular Assist Devices — the First Evidence of Adult Human Hearts from Transplant Cardiectomy (the preliminary results orally presented at ISHLT 2017)
Here is the topic I have been working on with Dr. Alireza Haghighi, Departments of Medicine and Genetics, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA, and Dr. You-Cian Lin, Division of Cardiovascular Surgery, China Medical University Hospital, Taichung, Taiwan:
Discovery of Novel Genetic Causes Underlying Thoracic Aortic Aneurysms and Dissections — Hospital specimens analyzed by whole-genome sequencing and RNAseq
To recap, my current research and scholarly interests are: data science approaches that decipher and interpret, and innovative solutions to the bottlenecks of thoracic transplant. My strength is on the dry lab side. Welcome all experts on the wet lab side but also dry lab as well.
