Pize is an AI coding assistant for scientific computing and statistical analysis. It runs in Pize Code and Positron, and also ships as an SDK.
PIZE · AUTHOR
Lingbing Meng
Atherosclerosis and Biomedical Data Analysis
Lingbing Meng works in clinical research and biomedical data analysis. Research interests include atherosclerosis, chronic stress, bioinformatics, machine learning, and systematic review. Selected publications address vascular smooth muscle-cell transformation, inflammatory markers, chronic stress, and predictive biomarkers in atherosclerosis.
Focus areas
- Atherosclerosis and chronic stress
- Bioinformatics and multi-omics analysis
- Machine-learning and neural-network models
- Systematic reviews and meta-analysis
Education
- PhD, Internal MedicinePeking Union Medical College
- M.M.Beijing Hospital, Ministry of Health Beijing Institute of Geriatrics2018–2020
- M.B.B.S., Clinical MedicineHebei Medical University2012–2017
Publication record
Selected publications
Education and professional-background information is based on biographical information supplied to Pize. Publication citations link to publisher DOI records.
A potential biomarker for clinical atherosclerosis: A novel insight derived from myosin heavy chain 10 promoting transformation of vascular smooth muscle cells
Clinical and Translational Medicine. 2022;12(1):e672.
doi.org/10.1002/ctm2.672Neutrophils and neutrophil-lymphocyte ratio: Inflammatory markers associated with intimal-media thickness of atherosclerosis
Thrombosis Research. 2018;170:45–52.
doi.org/10.1016/j.thromres.2018.08.002A Potential Target for Clinical Atherosclerosis: A Novel Insight Derived from TPM2
Aging and Disease. 2022;13(2):373–378.
doi.org/10.14336/ad.2021.0926Citrate Synthase and OGDH as Potential Biomarkers of Atherosclerosis under Chronic Stress
Oxidative Medicine and Cellular Longevity. 2021;2021:9957908.
doi.org/10.1155/2021/9957908Hypoxia-induced acetylation of PAK1 enhances autophagy and promotes brain tumorigenesis via phosphorylating ATG5
Autophagy. 2021;17(3):723–742.
doi.org/10.1080/15548627.2020.1731266TPM2 as a potential predictive biomarker for atherosclerosis
Aging (Albany NY). 2019;11(17):6960–6982.
doi.org/10.18632/aging.102231Chronic Stress A Potential Suspect Zero of Atherosclerosis: A Systematic Review
Frontiers in Cardiovascular Medicine. 2021;8:738654.
doi.org/10.3389/fcvm.2021.738654