Artificially intelligent proteomics improves cardiovascular risk assessment
EBioMedicine
.
2019 Feb:40:23-24.
doi: 10.1016/j.ebiom.2019.01.014.
Epub 2019 Jan 14.
Author
Siu Kwan Sze
1
Affiliation
1
School of Biological Sciences, Nanyang Technological University, Singapore. Electronic address: sksze@ntu.edu.sg.
PMID:
30651217
PMCID:
PMC6413680
DOI:
10.1016/j.ebiom.2019.01.014
No abstract available
Publication types
Letter
MeSH terms
Artificial Intelligence*
Biomarkers
Cardiovascular Diseases / epidemiology
Cardiovascular Diseases / etiology*
Cardiovascular Diseases / metabolism*
Humans
Proteome
Proteomics* / methods
Risk Assessment
Risk Factors
Substances
Biomarkers
Proteome