ImmunoFOMO: Are Language Models missing what oncologists see?
Journal:
arXiv
Published Date:
Jun 13, 2025
Abstract
Language models (LMs) capabilities have grown with a fast pace over the past
decade leading researchers in various disciplines, such as biomedical research,
to increasingly explore the utility of LMs in their day-to-day applications.
Domain specific language models have already been in use for biomedical natural
language processing (NLP) applications. Recently however, the interest has
grown towards medical language models and their understanding capabilities. In
this paper, we investigate the medical conceptual grounding of various language
models against expert clinicians for identification of hallmarks of
immunotherapy in breast cancer abstracts. Our results show that pre-trained
language models have potential to outperform large language models in
identifying very specific (low-level) concepts.
