Papers by Harriet.unsworth@cruk.manchester.ac.uk Harriet.unsworth@cruk.manchester.ac.uk
An LLM-based Knowledge Synthesis and Scientific Reasoning Framework for Biomedical Discovery (2024.acl-demos)
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Oskar Wysocki, Magdalena.wysocka@cruk.manchester.ac.uk Magdalena.wysocka@cruk.manchester.ac.uk, Danilo Carvalho, Alex Bogatu, Danilo.miranda@idiap.ch Danilo.miranda@idiap.ch, Maxime.delmas@idiap.ch Maxime.delmas@idiap.ch, Harriet.unsworth@cruk.manchester.ac.uk Harriet.unsworth@cruk.manchester.ac.uk, Andre Freitas
| Challenge: | BioLunar integrates Large Language Models (LLMs) to facilitate scientific reasoning across distributed evidence spaces. |
| Approach: | They present a tool for supporting biological analyses using Large Language Models (LLMs) it integrates large language models to facilitate scientific reasoning across distributed evidence spaces . |
| Outcome: | The proposed tool exemplifies the potential of the integration between LLMs, specialised databases and biomedical tools to support expert-level knowledge synthesis and discovery. |