118 research outputs found
Identifying Biomarkers to Select Patients with Borderline Resectable and Locally Advanced Pancreatic Ductal Adenocarcinoma (BRPC, LAPC) for Radiotherapy (RT)
https://openworks.mdanderson.org/sumexp22/1036/thumbnail.jp
Mathematical Modeling of CA19-9 Normalization in Pancreatic Cancer Patients
https://openworks.mdanderson.org/sumexp21/1077/thumbnail.jp
Predicting Tumor Related Liver Failure in Unresectable Intrahepatic Cholangiocarcinoma Patients through the Development of an Imaging Based Deep Learning Neural Network Model
https://openworks.mdanderson.org/sumexp21/1008/thumbnail.jp
The Role of Radiotherapy In the Management of Massive Intrahepatic Cholangiocarcinoma
https://openworks.mdanderson.org/sumexp21/1005/thumbnail.jp
Analysis and Prediction of Patient Survival After Radiotherapy For Liver Cancer Based On Volumetric Segmental Response and Clinically Relevant Factors
https://openworks.mdanderson.org/sumexp23/1121/thumbnail.jp
Identifying Differences in Spatial Transcriptomics Between Subtypes of Pancreatic Ductal Adenocarcinoma
https://openworks.mdanderson.org/sumexp22/1072/thumbnail.jp
Single-cell transcriptomics of intrahepatic cholangiocarcinoma (iCC) reveals novel tumor epithelial-stromal interactions
https://openworks.mdanderson.org/sumexp21/1093/thumbnail.jp
Prediction of Liver Regeneration Post-Radiotherapy Using Machine Learning and Deep Learning Models
Department of Imaging Physics Radiation Oncology Interventional Radiologyhttps://openworks.mdanderson.org/sumexp22/1136/thumbnail.jp
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