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

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.
The Barre-Montpelier Times Argus

Massive Bio Publishes Landmark Prospective Study Demonstrating AI-Driven Clinical Trial Matching at Scale in 3,804 Cancer Patients

The study, "Transforming oncology clinical trial matching through neuro-symbolic, multi-agent AI and an oncology-specific ...
ascopubs.org

Knowledge Representation of a Multicenter Adolescent and Young Adult Cancer Infrastructure: Development of the STRONG AYA Knowledge Graph

Cost-Effectiveness of Maintaining Higher Stem-Cell Collection Thresholds in the Chimeric Antigen Receptor T-Cell Era for Multiple Myeloma Rare diseases are difficult to fully capture, and regularly ...
EurekAlert!

RST2G: residual-guided spatiotemporal transformer graph fusion enhancement for breast cancer segmentation in DCE-MRI

(A) A schematic that describes the module flow of the proposed RST2G. (B) Overall architecture of the proposed RST2G. (C) Detailed structure of DownBlocks. (D) Detailed structure of VitBlocks. (E) ...