Interpretable AI-driven materiomics to decode microenvironmental cues for stem cell immunomodulation.
- DOI
- 10.1016/j.bioactmat.2026.07.006
- Published
- 2027 Jan
- Container
- Bioactive materials
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.bioactmat.2026.07.006,
title = {Interpretable AI-driven materiomics to decode microenvironmental cues for stem cell immunomodulation.},
author = {Pan C and He Y and Duan Y and Chen K and Wang Q and Wang X and Zhang Y and An C and Wang H},
year = {2027},
journal = {Bioactive materials},
doi = {10.1016/j.bioactmat.2026.07.006},
url = {https://doi.org/10.1016/j.bioactmat.2026.07.006}
}RIS
TY - JOUR TI - Interpretable AI-driven materiomics to decode microenvironmental cues for stem cell immunomodulation. AU - Pan C AU - He Y AU - Duan Y AU - Chen K AU - Wang Q AU - Wang X AU - Zhang Y AU - An C AU - Wang H PY - 2027 JO - Bioactive materials DO - 10.1016/j.bioactmat.2026.07.006 UR - https://doi.org/10.1016/j.bioactmat.2026.07.006 ER -
APA
C, P., Y, H., Y, D., K, C., Q, W., X, W., Y, Z., C, A., & H, W. (2027). Interpretable AI-driven materiomics to decode microenvironmental cues for stem cell immunomodulation.. Bioactive materials. https://doi.org/10.1016/j.bioactmat.2026.07.006
Source records
- pubmed · retrieved 2026-09-26T01:20:49.248Z