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Peer-reviewedLicence not statedInternational Journal of Drug Delivery Technology

Maternal–Fetal Oncology Intelligence: Self-Evolving Foundation Models and Digital Twin Ecosystems for Precision Cancer Prediction, Treatment Optimization, and Maternal–Fetal Outcome Forecasting

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Cite

BibTeXRIS
BibTeX
@article{anon2026maternalfetal,
  title = {{Maternal–Fetal Oncology Intelligence: Self-Evolving Foundation Models and Digital Twin Ecosystems for Precision Cancer Prediction, Treatment Optimization, and Maternal–Fetal Outcome Forecasting}},
  journal = {International Journal of Drug Delivery Technology},
  year = {2026},
  month = oct,
  doi = {10.25258/ijddt.16.65s.20},
  url = {https://doi.org/10.25258/ijddt.16.65s.20},
}
RIS
TY  - JOUR
TI  - Maternal–Fetal Oncology Intelligence: Self-Evolving Foundation Models and Digital Twin Ecosystems for Precision Cancer Prediction, Treatment Optimization, and Maternal–Fetal Outcome Forecasting
PY  - 2026
DA  - 2026/10/12
JO  - International Journal of Drug Delivery Technology
DO  - 10.25258/ijddt.16.65s.20
UR  - https://doi.org/10.25258/ijddt.16.65s.20
SN  - 0975-4415
ER  -