Article

Onca: An Open 9B Language Model for Pancreatic Cancer Clinical Tasks

2026-04-24

Abstract excerpt

Pancreatic ductal adenocarcinoma (PDAC) remains one of the deadliest solid tumors and continues to face low treatment-trial participation, fragmented evidence workflows, and labor-intensive abstraction of unstructured clinical text. Existing oncology-focused language models show promise, but many depend on private institutional corpora, limiting reproducibility and practical reuse across centers. We present Onca...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: eeb64f98-ae1d-5545-b30e-d61c4a95929a
DOI: 10.64898/2026.04.16.26351055

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Onca: An Open 9B Language Model for Pancreatic Cancer Clinical TasksDOI 10.64898/2026.04.16.26351055Read

Automated ICD-O-3 Coding of Real-World Pathology Reports Using Self-Hosted Large Language ModelsSemantic proximity Read

Metappuccino: Large Language Model-driven Reconstruction of Sequence Read Archive Metadata for Cancer ResearchSemantic proximity Read

OncoGPT: A Modular AI Assistant Orchestrating LLMs in Molecular OncologySemantic proximity Read

Employing Consensus-Based Reasoning with Locally Deployed LLMs for Enabling Structured Data Extraction from Surgical Pathology ReportsSemantic proximity Read

OncoRAG: Graph-Based Retrieval Enabling Clinical Phenotyping from Oncology Notes Using Local Mid-Size Language ModelsSemantic proximity Read

Enhancing Biomarker-Based Oncology Trial Matching Using Large Language ModelsSemantic proximity Read

Variantscape: Large Language Model-Driven Mining of Biomedical Literature for Clinical Interpretation of Cancer VariantsSemantic proximity Read

Metastasis Extraction from NSCLC Clinical Notes: A Retrospective Comparative Evaluation of Large Language Model-Based ClassificationSemantic proximity Read

Performance Characteristics of Reasoning Large Language Models for Evidence Extraction from Clinical Genomics LiteratureSemantic proximity Read

HONeYBEE: Enabling Scalable Multimodal AI in Oncology Through Foundation Model-Driven EmbeddingsSemantic proximity Read

Me-LLaMA: Medical Foundation Large Language Models for Comprehensive Text Analysis and BeyondSemantic proximity Read

For clinical data extraction, QLoRA attains accuracy close to LoRA while requiring lower compute resourcesSemantic proximity Read