BioInsight is a multi-agent orchestration system that converts disease-associated protein tables into interactive evidence dashboards with typed artifact contracts, improving reported traceability and ranking over baselines given the same retrieved evidence.
Overview of BioASQ 2025: The Thirteenth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering
2 Pith papers cite this work. Polarity classification is still indexing.
abstract
This is an overview of the thirteenth edition of the BioASQ challenge in the context of the Conference and Labs of the Evaluation Forum (CLEF) 2025. BioASQ is a series of international challenges promoting advances in large-scale biomedical semantic indexing and question answering. This year, BioASQ consisted of new editions of the two established tasks, b and Synergy, and four new tasks: a) Task MultiClinSum on multilingual clinical summarization. b) Task BioNNE-L on nested named entity linking in Russian and English. c) Task ELCardioCC on clinical coding in cardiology. d) Task GutBrainIE on gut-brain interplay information extraction. In this edition of BioASQ, 83 competing teams participated with more than 1000 distinct submissions in total for the six different shared tasks of the challenge. Similar to previous editions, several participating systems achieved competitive performance, indicating the continuous advancement of the state-of-the-art in the field.
years
2026 2verdicts
CONDITIONAL 2representative citing papers
A question-type-specific LLM ensemble and multi-agent pipeline achieved competitive results on BioASQ 14b Task B, including first place in the factoid subtask of Batch 4.
citing papers explorer
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BioInsight: Multi-Agent Orchestration for Interactive Biomedical Knowledge Discovery
BioInsight is a multi-agent orchestration system that converts disease-associated protein tables into interactive evidence dashboards with typed artifact contracts, improving reported traceability and ranking over baselines given the same retrieved evidence.
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From Voting to Agent Collaboration: Answer-Type-Aware LLM Pipelines for BioASQ 14b
A question-type-specific LLM ensemble and multi-agent pipeline achieved competitive results on BioASQ 14b Task B, including first place in the factoid subtask of Batch 4.