A Machine Learning Approach for Predicting Synergism of Mixtures of Compounds in Treating Cancers

Azar Shamloo, Jack Tuszynski, Yun Tam, Chih-Yuan Tseng

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DOI: 10.3390/ijms27188345
Published: 2026-09-19
Container: International Journal of Molecular Sciences
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/ijms27188345,
  title = {A Machine Learning Approach for Predicting Synergism of Mixtures of Compounds in Treating Cancers},
  author = {Azar Shamloo and Jack Tuszynski and Yun Tam and Chih-Yuan Tseng},
  year = {2026},
  journal = {International Journal of Molecular Sciences},
  doi = {10.3390/ijms27188345},
  url = {https://doi.org/10.3390/ijms27188345}
}

RIS

TY  - JOUR
TI  - A Machine Learning Approach for Predicting Synergism of Mixtures of Compounds in Treating Cancers
AU  - Azar Shamloo
AU  - Jack Tuszynski
AU  - Yun Tam
AU  - Chih-Yuan Tseng
PY  - 2026
JO  - International Journal of Molecular Sciences
DO  - 10.3390/ijms27188345
UR  - https://doi.org/10.3390/ijms27188345
ER  -

APA

Shamloo, A., Tuszynski, J., Tam, Y., & Tseng, C. (2026). A Machine Learning Approach for Predicting Synergism of Mixtures of Compounds in Treating Cancers. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms27188345

Source records

crossref · retrieved 2026-11-05T01:03:52.713Z