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View article: Mathematical modeling in radiotherapy for cancer: a comprehensive narrative review
Mathematical modeling in radiotherapy for cancer: a comprehensive narrative review Open
View article: radioGWAS links radiome to genome to discover driver genes with somatic mutations for heterogeneous tumor image phenotype in pancreatic cancer
radioGWAS links radiome to genome to discover driver genes with somatic mutations for heterogeneous tumor image phenotype in pancreatic cancer Open
View article: radioGWAS: link radiome to genome to discover driver genes with somatic mutations for heterogeneous tumor image phenotype in pancreatic cancer
radioGWAS: link radiome to genome to discover driver genes with somatic mutations for heterogeneous tumor image phenotype in pancreatic cancer Open
Addressing the significant level of variability exhibited by pancreatic cancer necessitates the adoption of a systems biology approach that integrates molecular data, biological properties of the tumors, and clinical features of the patien…
View article: Using Quantitative Imaging for Personalized Medicine in Pancreatic Cancer: A Review of Radiomics and Deep Learning Applications
Using Quantitative Imaging for Personalized Medicine in Pancreatic Cancer: A Review of Radiomics and Deep Learning Applications Open
As the most lethal major cancer, pancreatic cancer is a global healthcare challenge. Personalized medicine utilizing cutting-edge multi-omics data holds potential for major breakthroughs in tackling this critical problem. Radiomics and dee…
View article: Radiomics: Medical Imaging Can Predict Pancreatic Cancer Patient Outcome
Radiomics: Medical Imaging Can Predict Pancreatic Cancer Patient Outcome Open
Radiomics is a process that mines quantitative data from imaging techniques, including MRIs, CTs, and PET scans. In this study, radiomics is used to find associations between clinical factors such as the number of metastases in pancreatic …