Peer-reviewedLicence not statedInternational Journal of Drug Delivery Technology
Childhood-Oncology Intelligence for Predicting Cancer Emergence, Optimizing Precision Therapies, and Simulating Lifelong Outcomes in Pediatric Malignancies Using Autonomous Foundation Models
Related
- Simulating Psychotherapeutic Sessions with Generative Artificial Intelligence: A Proof-of-Concept Study of In Silico Psychotherapy Research
- Autonomous biomedical research with an artificial intelligence agent
- Predicting follow-up cognition using estimated structural and functional connectivity networks and artificial intelligence in multiple sclerosis
- Towards autonomous medical artificial intelligence agents
- Predicting Pathological Dental Wear: A Roadmap for Artificial Intelligence in Natural Teeth and Restorations
BibTeX
@article{anon2026childhoodoncology,
title = {{Childhood-Oncology Intelligence for Predicting Cancer Emergence, Optimizing Precision Therapies, and Simulating Lifelong Outcomes in Pediatric Malignancies Using Autonomous Foundation Models}},
journal = {International Journal of Drug Delivery Technology},
year = {2026},
month = oct,
doi = {10.25258/ijddt.16.65s.19},
url = {https://doi.org/10.25258/ijddt.16.65s.19},
}
RIS
TY - JOUR
TI - Childhood-Oncology Intelligence for Predicting Cancer Emergence, Optimizing Precision Therapies, and Simulating Lifelong Outcomes in Pediatric Malignancies Using Autonomous Foundation Models
PY - 2026
DA - 2026/10/12
JO - International Journal of Drug Delivery Technology
DO - 10.25258/ijddt.16.65s.19
UR - https://doi.org/10.25258/ijddt.16.65s.19
SN - 0975-4415
ER -