Fraunhofer SCAI Bioinformatics Department
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- covid-NDD-image-based-information-extraction Public
Extracting structured knowledge from biomedical images using LLMs, focusing on COVID-19 and neurodegeneration. Leverages GPT-4o for image analysis and semantic triple extraction to build a biomedical knowledge graph.
SCAI-BIO/covid-NDD-image-based-information-extraction’s past year of commit activity - ExMed-BERT Public
SCAI-BIO/ExMed-BERT’s past year of commit activity - covid-NDD-comorbidity-NLP Public
This work aims to integrate diverse, curated biological databases with a comprehensive analysis of the growing body of literature on the potential long-term neurological consequences of COVID-19 infections, employing advanced natural language processing and text mining techniques.
SCAI-BIO/covid-NDD-comorbidity-NLP’s past year of commit activity - causal-npi-effects Public
A causal machine learning framework to assess effects of non-pharmaceutical interventions on pandemic disease spread.
SCAI-BIO/causal-npi-effects’s past year of commit activity - psystrata-explainerdashboard Public Forked from oegedijk/explainerdashboard
Prototype Dashboard explaining Treatment Resistance Models, based on explainerdashboard
SCAI-BIO/psystrata-explainerdashboard’s past year of commit activity