Cancer Staging and Biomarker Extraction

Uses

Benefits

Risks & contraindications

Highlighted claims

• Breast cancer staging and biomarker profiling rely on pathology-report information such as TNM stage, histologic grade, ER, PR, and HER2 status. — Multi-Task LLM with LoRA Fine-Tuning for Automated Cancer Staging and Biomarker Extraction
• Unstructured pathology reports make large-scale registry curation difficult and create dependence on manual abstraction. — Multi-Task LLM with LoRA Fine-Tuning for Automated Cancer Staging and Biomarker Extraction
• Generative LLM extraction is presented as problematic because autoregressive decoding can produce invalid values, inconsistent formatting, stochastic outputs, and hallucinated categories. — Multi-Task LLM with LoRA Fine-Tuning for Automated Cancer Staging and Biomarker Extraction
• The proposed framework aims to extract structured staging and biomarker variables while avoiding hallucination risk and extra post-processing from generative extraction. — Multi-Task LLM with LoRA Fine-Tuning for Automated Cancer Staging and Biomarker Extraction