Area of research
Radiology, Nuclear Medicine and Imaging · Artificial Intelligence
Research interest
Research interests include Computer science, Artificial intelligence, Cancer research, Medicine, Machine learning, and Cancer.
Assessment of Patient-Derived Xenograft Growth and Antitumor Activity: The NCI PDXNet Consensus Recommendations
The pro-oncogenic noncanonical activity of a RAS•GTP:RanGAP1 complex facilitates nuclear protein export
Conservation of copy number profiles during engraftment and passaging of patient-derived cancer xenografts
Converting tabular data into images for deep learning with convolutional neural networks
A cross-study analysis of drug response prediction in cancer cell lines
Ensemble transfer learning for the prediction of anti-cancer drug response
AI Meets Exascale Computing: Advancing Cancer Research With Large-Scale High Performance Computing
Predicting tumor cell line response to drug pairs with deep learning
Abstract 1039: PDX models generated from a patient with metastatic colon adenocarcinoma display both spatial and temporal tumor heterogeneity
PDX-MI: Minimal Information for Patient-Derived Tumor Xenograft Models