Machine learning-enabled identification of nucleus pulposus senescence-associated genes as potential biomarkers for intervertebral disc degeneration

Nucleus pulposus aging may promote the progression of IVDD. TAF13 can be used as a novel diagnostic biomolecular marker and for IVDD.

Authors

Institutions

Publication Details

Journal
European journal of medical research
Published
2025-09-29
DOI
https://doi.org/10.1186/s40001-025-03102-4
Primary Topic
Spine and Intervertebral Disc Pathology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Machine learning-enabled identification of nucleus pulposus senescence-associated genes as potential biomarkers for intervertebral disc degeneration

Qinglin Peng, Ling Liu, Min Xiang, Huan Liu et al.
European journal of medical research
Spine and Intervertebral Disc Pathology
article

Machine learning-enabled identification of nucleus pulposus senescence-associated genes as potential biomarkers for intervertebral disc degeneration

Qinglin Peng, Ling Liu, Min Xiang, Huan Liu, Yanjiao Wu, Feifei Dai
article en

Abstract

Nucleus pulposus aging may promote the progression of IVDD. TAF13 can be used as a novel diagnostic biomolecular marker and for IVDD.

European journal of medical researchVol. 30(1)
Guangdong Medical College (CN), Southwest Medical University (CN), Affiliated Hospital of Southwest Medical University (CN), The First People's Hospital of Shunde (CN), Affiliated Hospital of Guangdong Medical College Hospital (CN), Southern Medical University (CN), Putian University (CN)
Openalex Percentile: Top 62%
Spine and Intervertebral Disc Pathology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.