Assumption-Agnostic Deep Learning Framework for Holistic Clinical Trial Monitoring.

Yin S, Wu Z, Lin J

DOI: 10.1007/s43441-026-00915-1
Published: 2026 May
Container: Therapeutic innovation & regulatory science
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s43441-026-00915-1,
  title = {Assumption-Agnostic Deep Learning Framework for Holistic Clinical Trial Monitoring.},
  author = {Yin S and Wu Z and Lin J},
  year = {2026},
  journal = {Therapeutic innovation \& regulatory science},
  doi = {10.1007/s43441-026-00915-1},
  url = {https://doi.org/10.1007/s43441-026-00915-1}
}

RIS

TY  - JOUR
TI  - Assumption-Agnostic Deep Learning Framework for Holistic Clinical Trial Monitoring.
AU  - Yin S
AU  - Wu Z
AU  - Lin J
PY  - 2026
JO  - Therapeutic innovation & regulatory science
DO  - 10.1007/s43441-026-00915-1
UR  - https://doi.org/10.1007/s43441-026-00915-1
ER  -

APA

S, Y., Z, W., & J, L. (2026). Assumption-Agnostic Deep Learning Framework for Holistic Clinical Trial Monitoring.. Therapeutic innovation & regulatory science. https://doi.org/10.1007/s43441-026-00915-1

Source records

pubmed · retrieved 2026-09-25T21:53:06.074Z