{"slug": "ddiagents-mechanism-conditioned-context-flow-for-drug-drug-interaction", "title": "DDIAgents: Mechanism-Conditioned Context Flow for Drug-Drug Interaction Prediction", "summary": "Researchers propose DDIAgents, a mechanism-conditioned multi-agent framework for drug-drug interaction prediction that dynamically orchestrates specialized expert agents and adapts context flow to the inferred interaction mechanism. The system outperforms existing baselines on realistic benchmarks and provides interpretable rationales, demonstrating how multi-agent systems can organize heterogeneous scientific knowledge for adaptive AI4Science reasoning.", "body_md": "arXiv:2606.31085v1 Announce Type: new\nAbstract: Drug-drug interaction (DDI) prediction is essential for medication safety, yet it requires reasoning over heterogeneous biomedical evidence whose relevance changes across interaction mechanisms. We propose DDIAgents, a mechanism-conditioned multi-agent framework that performs DDI prediction through dynamic knowledge orchestration. Given a drug pair, a planner agent instantiates specialized expert agents, routes mechanism-relevant knowledge sources to each agent, and aggregates their analyses through a conclusion agent. By adapting context flow to the inferred interaction mechanism, DDIAgents reduces irrelevant information, supports complementary expert reasoning, and produces interpretable agent-level rationales. Extensive experiments on realistic DDI prediction benchmarks show that DDIAgents consistently outperforms existing feature-based, graph-based, LLM-based, and agent-based baselines. Beyond prediction performance, DDIAgents demonstrates how multi-agent systems can organize heterogeneous scientific knowledge for adaptive and interpretable AI4Science reasoning.", "url": "https://wpnews.pro/news/ddiagents-mechanism-conditioned-context-flow-for-drug-drug-interaction", "canonical_source": "https://arxiv.org/abs/2606.31085", "published_at": "2026-07-01 04:00:00+00:00", "updated_at": "2026-07-01 04:25:42.101882+00:00", "lang": "en", "topics": ["artificial-intelligence", "machine-learning", "ai-research", "ai-agents", "natural-language-processing"], "entities": ["DDIAgents", "arXiv"], "alternates": {"html": "https://wpnews.pro/news/ddiagents-mechanism-conditioned-context-flow-for-drug-drug-interaction", "markdown": "https://wpnews.pro/news/ddiagents-mechanism-conditioned-context-flow-for-drug-drug-interaction.md", "text": "https://wpnews.pro/news/ddiagents-mechanism-conditioned-context-flow-for-drug-drug-interaction.txt", "jsonld": "https://wpnews.pro/news/ddiagents-mechanism-conditioned-context-flow-for-drug-drug-interaction.jsonld"}}