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 - SEEDS Public
SEEDS (Similarity based Expert Embedding Decision System) is a Retrieval-Augmented Generation (RAG) based agricultural question-answering (QA) system. It is built upon a domain-specific knowledge graph (KG), representing Cedar Apple Rust disease.
SCAI-BIO/SEEDS’s past year of commit activity - datastew Public
Python library for intelligent data stewardship using Large Language Model (LLM) embeddings
SCAI-BIO/datastew’s past year of commit activity - primekg-rag Public
RAG-based method for mapping variables to PrimeKG subgraphs with textual graph descriptions.
SCAI-BIO/primekg-rag’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
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