@article{arango2025pretrained,title={Pretrained transformers applied to clinical studies improve predictions of treatment efficacy and associated biomarkers},author={Arango-Argoty, Gustavo and Kipkogei, Elly and Stewart, Ross and Sun, Gerald J and Patra, Arijit and Kagiampakis, Ioannis and Jacob, Etai},journal={Nature Communications},volume={16},number={1},pages={2101},year={2025},publisher={Nature Publishing Group UK London},}
AI-driven predictive biomarker discovery with contrastive learning to improve clinical trial outcomes
Gustavo Arango-Argoty, Damian E Bikiel, Gerald J Sun, Elly Kipkogei, Kaitlin M Smith, Sebastian Carrasco Pro, Elizabeth Y Choe, and Etai Jacob
@article{arango2025ai,title={AI-driven predictive biomarker discovery with contrastive learning to improve clinical trial outcomes},author={Arango-Argoty, Gustavo and Bikiel, Damian E and Sun, Gerald J and Kipkogei, Elly and Smith, Kaitlin M and Pro, Sebastian Carrasco and Choe, Elizabeth Y and Jacob, Etai},journal={Cancer Cell},year={2025},publisher={Elsevier},}
2021
Explainable transformer-based neural network for the prediction of survival outcomes in non-small cell lung cancer (NSCLC)
Elly Kipkogei, Gustavo Alonso Arango Argoty, Ioannis Kagiampakis, Arijit Patra, and Etai Jacob
@article{kipkogei2021explainable,title={Explainable transformer-based neural network for the prediction of survival outcomes in non-small cell lung cancer (NSCLC)},author={Kipkogei, Elly and Arango Argoty, Gustavo Alonso and Kagiampakis, Ioannis and Patra, Arijit and Jacob, Etai},journal={medRxiv},pages={2021--10},year={2021},publisher={Cold Spring Harbor Laboratory Press},}