Enabling Bioprocess Upscaling Prediction Through Hybrid Modelling and Transfer Learning Under Small-Data Scenarios.

Al-Ramadhan H, Vega-Ramon F, Jing K, Zhang D

DOI: 10.1002/bit.70385
Published: 2026 Sep 21
Container: Biotechnology and bioengineering
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/bit.70385,
  title = {Enabling Bioprocess Upscaling Prediction Through Hybrid Modelling and Transfer Learning Under Small-Data Scenarios.},
  author = {Al-Ramadhan H and Vega-Ramon F and Jing K and Zhang D},
  year = {2026},
  journal = {Biotechnology and bioengineering},
  doi = {10.1002/bit.70385},
  url = {https://doi.org/10.1002/bit.70385}
}

RIS

TY  - JOUR
TI  - Enabling Bioprocess Upscaling Prediction Through Hybrid Modelling and Transfer Learning Under Small-Data Scenarios.
AU  - Al-Ramadhan H
AU  - Vega-Ramon F
AU  - Jing K
AU  - Zhang D
PY  - 2026
JO  - Biotechnology and bioengineering
DO  - 10.1002/bit.70385
UR  - https://doi.org/10.1002/bit.70385
ER  -

APA

H, A., F, V., K, J., & D, Z. (2026). Enabling Bioprocess Upscaling Prediction Through Hybrid Modelling and Transfer Learning Under Small-Data Scenarios.. Biotechnology and bioengineering. https://doi.org/10.1002/bit.70385

Source records

pubmed · retrieved 2026-09-25T13:26:16.407Z