Navid Sobhani

Research Scientist, Ph.D.


Curriculum vitae


[email protected]


Department of Cancer Biology

UT MD Anderson Cancer Center



AI-Based Cancer Models in Oncology: From Diagnosis to ADC Drug Prediction


Journal article


Navid Sobhani, Fernanda G Kugeratski, Sergio Venturini, Raheleh Roudi, Tristan Nguyen, Alberto D'Angelo, Daniele Generali
Cancers, vol. 17(21), 2025, p. 3419


Cite

Cite

APA   Click to copy
Sobhani, N., Kugeratski, F. G., Venturini, S., Roudi, R., Nguyen, T., D'Angelo, A., & Generali, D. (2025). AI-Based Cancer Models in Oncology: From Diagnosis to ADC Drug Prediction. Cancers, 17(21), 3419. https://doi.org/10.3390/cancers17213419


Chicago/Turabian   Click to copy
Sobhani, Navid, Fernanda G Kugeratski, Sergio Venturini, Raheleh Roudi, Tristan Nguyen, Alberto D'Angelo, and Daniele Generali. “AI-Based Cancer Models in Oncology: From Diagnosis to ADC Drug Prediction.” Cancers 17, no. 21 (2025): 3419.


MLA   Click to copy
Sobhani, Navid, et al. “AI-Based Cancer Models in Oncology: From Diagnosis to ADC Drug Prediction.” Cancers, vol. 17, no. 21, 2025, p. 3419, doi:10.3390/cancers17213419.


BibTeX   Click to copy

@article{navid2025a,
  title = {AI-Based Cancer Models in Oncology: From Diagnosis to ADC Drug Prediction},
  year = {2025},
  issue = {21},
  journal = {Cancers},
  pages = {3419},
  volume = {17},
  doi = {10.3390/cancers17213419},
  author = {Sobhani, Navid and Kugeratski, Fernanda G and Venturini, Sergio and Roudi, Raheleh and Nguyen, Tristan and D'Angelo, Alberto and Generali, Daniele}
}


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