TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of
  Tools
Precision therapeutics require multimodal adaptive models that generate
personalized treatment recommendations. We introduce TxAgent, an AI agent that
leverages multi-step reasoning and real-time biomedical knowledge retrieval
across a toolbox of 211 tools to analyze drug interactions, contraindications,
and patient-specific treatment strategies. TxAgent evaluates how drugs interact
at molecular, pharmacokinetic, and clinical levels, identifies
contraindications based on patient comorbidities and concurrent medications,
and tailors treatment strategies to individual patient characteristics. It
retrieves and synthesizes evidence from multiple biomedical sources, assesses
interactions between drugs and patient conditions, and refines treatment
recommendations through iterative reasoning. It selects tools based on task
objectives and executes structured function calls to solve therapeutic tasks
that require clinical reasoning and cross-source validation. The ToolUniverse
consolidates 211 tools from trusted sources, including all US FDA-approved
drugs since 1939 and validated clinical insights from Open Targets. TxAgent
outperforms leading LLMs, tool-use models, and reasoning agents across five new
benchmarks: DrugPC, BrandPC, GenericPC, TreatmentPC, and DescriptionPC,
covering 3,168 drug reasoning tasks and 456 personalized treatment scenarios.
It achieves 92.1% accuracy in open-ended drug reasoning tasks, surpassing
GPT-4o and outperforming DeepSeek-R1 (671B) in structured multi-step reasoning.
TxAgent generalizes across drug name variants and descriptions. By integrating
multi-step inference, real-time knowledge grounding, and tool-assisted
decision-making, TxAgent ensures that treatment recommendations align with
established clinical guidelines and real-world evidence, reducing the risk of
adverse events and improving therapeutic decision-making.
67d771335e9c4135a570f57f
Shanghua Gao
claimed_verified
2025-03-17T08:44:49.587Z
6350fc5ba8822aadf571304f
/avatars/19686add3cbdaef5772b913152333f9b.svg
gasvn
user
shgao
67d771335e9c4135a570f580
Richard Zhu
67d771335e9c4135a570f581
Zhenglun Kong
claimed_verified
2025-03-20T10:47:49.963Z
5f2c36551ebc8c6ede2f0e53
/avatars/e3ddbd15f50b86958377b5fc2460a57e.svg
Tony Kong
user
TonyK
67d771335e9c4135a570f582
Ayush Noori
admin_assigned
2025-03-17T08:54:34.672Z
643b2ce2c5f633a7fa82d507
https://cdn-avatars.huggingface.co/v1/production/uploads/643b2ce2c5f633a7fa82d507/RFXzG5tiRqVYdF-bWbNl-.png
Ayush
user
ayushnoori
67d771335e9c4135a570f583
Xiaorui Su
admin_assigned
2025-03-17T08:54:42.342Z
660aef84362a1d713aea88ec
/avatars/7a16c54e1ee43d5366501d12e8087a7e.svg
Xiaorui Su
user
Blair1213
67d771335e9c4135a570f584
Curtis Ginder
67d771335e9c4135a570f585
Theodoros Tsiligkaridis
67d771335e9c4135a570f586
Marinka Zitnik
admin_assigned
2025-03-17T08:55:18.525Z
636826f95bb06007ea0e911e
https://cdn-avatars.huggingface.co/v1/production/uploads/1667770136112-636826f95bb06007ea0e911e.jpeg
Marinka Zitnik
user
marinkaz
TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of
  Tools
Precision therapeutics require multimodal adaptive models that generate
personalized treatment recommendations. We introduce TxAgent, an AI agent that
leverages multi-step reasoning and real-time biomedical knowledge retrieval
across a toolbox of 211 tools to analyze drug interactions, contraindications,
and patient-specific treatment strategies. TxAgent evaluates how drugs interact
at molecular, pharmacokinetic, and clinical levels, identifies
contraindications based on patient comorbidities and concurrent medications,
and tailors treatment strategies to individual patient characteristics. It
retrieves and synthesizes evidence from multiple biomedical sources, assesses
interactions between drugs and patient conditions, and refines treatment
recommendations through iterative reasoning. It selects tools based on task
objectives and executes structured function calls to solve therapeutic tasks
that require clinical reasoning and cross-source validation. The ToolUniverse
consolidates 211 tools from trusted sources, including all US FDA-approved
drugs since 1939 and validated clinical insights from Open Targets. TxAgent
outperforms leading LLMs, tool-use models, and reasoning agents across five new
benchmarks: DrugPC, BrandPC, GenericPC, TreatmentPC, and DescriptionPC,
covering 3,168 drug reasoning tasks and 456 personalized treatment scenarios.
It achieves 92.1% accuracy in open-ended drug reasoning tasks, surpassing
GPT-4o and outperforming DeepSeek-R1 (671B) in structured multi-step reasoning.
TxAgent generalizes across drug name variants and descriptions. By integrating
multi-step inference, real-time knowledge grounding, and tool-assisted
decision-making, TxAgent ensures that treatment recommendations align with
established clinical guidelines and real-world evidence, reducing the risk of
adverse events and improving therapeutic decision-making.
TxAgent, an AI agent, uses multi-step reasoning and real-time biomedical knowledge retrieval to generate personalized treatment recommendations, outperforming leading models in drug reasoning tasks.
multi-step reasoning real-time biomedical knowledge retrieval drug interactions contraindications patient-specific treatment strategies ToolUniverse biomedical sources clinical reasoning cross-source validation drug reasoning tasks personalized treatment scenarios multi-step inference knowledge grounding tool-assisted decision-making