DEFOR: depth- and frequency-based somatic copy number alteration detector. - He Zhang; Xiaowei Zhan; James Brugarolas; Yang Xie (Bioinform., 2019)

Histopathology Based AI Model Predicts Anti-Angiogenic Therapy Response in Renal Cancer Clinical Trial. - Jay Jasti; Hua Zhong; Vandana Panwar; Vipul Jarmale; Jeffrey Miyata; Deyssy Carrillo; Alana Christie; Dinesh Rakheja; Zora Modrusan; Edward Ernest Kadel III; Niha Beig; Mahrukh Huseni; et al. (CoRR, 2024)

A multimodal ensemble approach for clear cell renal cell carcinoma treatment outcome prediction. - Meixu Chen; Kai Wang; Payal Kapur; James Brugarolas; Raquibul Hannan; Jing Wang (CoRR, 2024)

Iterative refinement and goal articulation to optimize large language models for clinical information extraction. - David Hein; Alana Christie; Michael J. Holcomb; Bingqing Xie; Aj Jain; Joseph Vento; Dinesh Rakheja; Ameer Hamza Shakur; Scott Christley; Lindsay G. Cowell; James Brugarolas; Andrew R. Jamieson; et al. (npj Digit. Medicine, 2025)