Artificial Intelligence-Assisted Systematic Literature Reviews in Metabolic Phenotyping: A Methodological Framework and Validation Study.

Cox M, Osorio Mosquera J, Khandaker S, Sala S, Wist J, Nicholson JK, Holmes E, Fairchild T, Lawler NG

Open source

DOI
10.1007/s43657-026-00336-y
Published
2026 Aug
Container
Phenomics (Cham, Switzerland)
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1007/s43657-026-00336-y,
  title = {Artificial Intelligence-Assisted Systematic Literature Reviews in Metabolic Phenotyping: A Methodological Framework and Validation Study.},
  author = {Cox M and Osorio Mosquera J and Khandaker S and Sala S and Wist J and Nicholson JK and Holmes E and Fairchild T and Lawler NG},
  year = {2026},
  journal = {Phenomics (Cham, Switzerland)},
  doi = {10.1007/s43657-026-00336-y},
  url = {https://doi.org/10.1007/s43657-026-00336-y}
}

RIS

TY  - JOUR
TI  - Artificial Intelligence-Assisted Systematic Literature Reviews in Metabolic Phenotyping: A Methodological Framework and Validation Study.
AU  - Cox M
AU  - Osorio Mosquera J
AU  - Khandaker S
AU  - Sala S
AU  - Wist J
AU  - Nicholson JK
AU  - Holmes E
AU  - Fairchild T
AU  - Lawler NG
PY  - 2026
JO  - Phenomics (Cham, Switzerland)
DO  - 10.1007/s43657-026-00336-y
UR  - https://doi.org/10.1007/s43657-026-00336-y
ER  - 

APA

M, C., J, O. M., S, K., S, S., J, W., JK, N., E, H., T, F., & NG, L. (2026). Artificial Intelligence-Assisted Systematic Literature Reviews in Metabolic Phenotyping: A Methodological Framework and Validation Study.. Phenomics (Cham, Switzerland). https://doi.org/10.1007/s43657-026-00336-y

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