Medical Xpress

Graph machine learning model shows potential for predicting cancer genes

The World Health Organization reports a steady increase in cancer patients worldwide, marking it as a major health threat. Preventing and treating cancer has become a global priority, with identifying ...
ascopubs.org

A transfer learning-based graph neural network model using mIF images to predict neoadjuvant immunochemotherapy response in patients with gastrointestinal cancer.

Natural language processing for automated breast cancer recurrence detection and classification in computed tomography reports. This is an ASCO Meeting Abstract from the 2024 ASCO Annual Meeting I.
EurekAlert!

Graph filtration learning reveals new dimensions in hepatocellular carcinoma imaging

Oncotarget (a primarily oncology-focused, peer-reviewed, open access journal) aims to maximize research impact through insightful peer-review; eliminate borders between specialties by linking ...
ascopubs.org

Tissue of origin detection for cancer tumor using low-depth cfDNA samples through combination of tumor-specific methylation atlas and genome-wide methylation density in graph ...

Validation of a chemotherapy toxicity prediction model in older adults with cancer in Taiwan. This is an ASCO Meeting Abstract from the ASCO Breakthrough: A Global Summit for Oncology Innovators. This ...
eLife

Identifying tissue states by spatial protein patterns related to chemotherapy response in triple-negative breast cancer

This is an important work implementing data mining methods on IMC data to discover spatial protein patterns related to the triple-negative breast cancer patients' chemotherapy response. The evidence ...