Transforming cutting-edge healthcare: Emerging trends in metabolomics and drug design using artificial intelligence and big data methodologies.

Kim S, Kim D, Ko J, Zan X, Wong KL, Mao Y, Kaur L, Nam H, Lee JW

Open source

DOI: 10.1177/20552076261458965
Published: 2026 Jan-Dec
Container: Digital health
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1177/20552076261458965,
  title = {Transforming cutting-edge healthcare: Emerging trends in metabolomics and drug design using artificial intelligence and big data methodologies.},
  author = {Kim S and Kim D and Ko J and Zan X and Wong KL and Mao Y and Kaur L and Nam H and Lee JW},
  year = {2026},
  journal = {Digital health},
  doi = {10.1177/20552076261458965},
  url = {https://doi.org/10.1177/20552076261458965}
}

RIS

TY  - JOUR
TI  - Transforming cutting-edge healthcare: Emerging trends in metabolomics and drug design using artificial intelligence and big data methodologies.
AU  - Kim S
AU  - Kim D
AU  - Ko J
AU  - Zan X
AU  - Wong KL
AU  - Mao Y
AU  - Kaur L
AU  - Nam H
AU  - Lee JW
PY  - 2026
JO  - Digital health
DO  - 10.1177/20552076261458965
UR  - https://doi.org/10.1177/20552076261458965
ER  -

APA

S, K., D, K., J, K., X, Z., KL, W., Y, M., L, K., H, N., & JW, L. (2026). Transforming cutting-edge healthcare: Emerging trends in metabolomics and drug design using artificial intelligence and big data methodologies.. Digital health. https://doi.org/10.1177/20552076261458965

Source records

pubmed · retrieved 2026-09-25T12:53:29.475Z
europe-pmc · retrieved 2026-09-25T12:53:29.481Z
doaj · retrieved 2026-09-25T12:53:29.474Z