Optimizing intervertebral disc cell metabolic phenotyping with machine learning and artificial neural networks

Md Entaz Bahar, Rizi Firman Maulidi, Quang Nhat Ngo, Deok Ryong Kim

Open source

DOI
10.1038/s41598-025-28236-7
Published
2025-12-22
Container
Scientific Reports
Publisher
Springer Science and Business Media LLC
Open access
unknown

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BibTeX

@article{allodium:10.1038/s41598-025-28236-7,
  title = {Optimizing intervertebral disc cell metabolic phenotyping with machine learning and artificial neural networks},
  author = {Md Entaz Bahar and Rizi Firman Maulidi and Quang Nhat Ngo and Deok Ryong Kim},
  year = {2025},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-025-28236-7},
  url = {https://doi.org/10.1038/s41598-025-28236-7}
}

RIS

TY  - JOUR
TI  - Optimizing intervertebral disc cell metabolic phenotyping with machine learning and artificial neural networks
AU  - Md Entaz Bahar
AU  - Rizi Firman Maulidi
AU  - Quang Nhat Ngo
AU  - Deok Ryong Kim
PY  - 2025
JO  - Scientific Reports
DO  - 10.1038/s41598-025-28236-7
UR  - https://doi.org/10.1038/s41598-025-28236-7
ER  - 

APA

Bahar, M. E., Maulidi, R. F., Ngo, Q. N., & Kim, D. R. (2025). Optimizing intervertebral disc cell metabolic phenotyping with machine learning and artificial neural networks. Scientific Reports. https://doi.org/10.1038/s41598-025-28236-7

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