Publications by authors named "Lauren Furman-Cline"
Purpose: Osteosarcoma research advancement requires enhanced data integration across different modalities and sources. Current osteosarcoma research, encompassing clinical, genomic, protein, and tissue imaging data, is hindered by the siloed landscape of data generation and storage.
Materials And Methods: Clinical, molecular profiling, and tissue imaging data for 573 patients with pediatric osteosarcoma were collected from four public and institutional sources.
Article Synopsis
- * A convolutional neural network was created using pathology images from 80 RMS patients to classify histology subtypes and successfully achieved high performance in distinguishing between alveolar RMS and embryonal RMS.
- * A prognostic model for embryonal RMS could categorize patients into high- and low-risk groups, demonstrating a significant difference in event-free survival, indicating that these models can enhance pathology evaluations and risk assessment for treatment.