Leveraging multimodal large language models to extract mechanistic insights from biomedical visuals: A case study on COVID-19 and neurodegenerative diseases

Background: The COVID-19 pandemic has intensified concerns about its long-term neurological impact, with evidence linking SARS-CoV-2 infection to neurodegenerative diseases (NDDs) such as Alzheimer’s (AD) and Parkinson’s (PD). Patients with these conditions face higher risk of severe COVID-19 outcom...

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Detalhes bibliográficos

Principais autores:	Elizaveta Popova, Marc Jacobs, Martin Hofmann-Apitius, Negin Sadat Babaiha
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2026-03-01
coleção:	Machine Learning with Applications
Assuntos:	Biomedical Knowledge Graph Multimodal Large Language Models Biomedical Information Extraction COVID-19 Neurodegenerative Diseases
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2666827025001999
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