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New AI agent simplifies clinical trial data access using Gemini and DeepSeek

By PulseAugur Editorial · [2 sources] ·

Researchers have developed ClinAgent, a conversational AI system designed to simplify the process of querying clinical trial registries. This system utilizes a ReAct-based Large Language Model (LLM) agent that integrates tools for searching external databases like PubMed and a local clinical trial dataset. Evaluations comparing Gemini 3.0 Flash and DeepSeek V3.2 models showed that Gemini performed best overall and received higher expert ratings, while DeepSeek excelled in planning quality. AI

IMPACT This system could streamline biomedical research by making complex clinical trial data more accessible through natural language queries.

RANK_REASON The cluster describes a research paper detailing a new AI system and its evaluation.

Read on arXiv cs.IR (Information Retrieval) →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New AI agent simplifies clinical trial data access using Gemini and DeepSeek

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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Antonino Vaccarella, Riccardo Cantini, Domenico Talia, Paolo Trunfio, Marianna Talia, Rosamaria Lappano, Marcello Maggiolini ·

    ClinAgent: A ReAct-Based Agent for Conversational Access to Clinical Trial Information

    arXiv:2609.13860v1 Announce Type: new Abstract: Querying clinical trial registries remains a manual and error-prone process, requiring researchers to navigate large volumes of semi-structured data without support for natural language interaction or cross-source synthesis. To addr…

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Marcello Maggiolini ·

    ClinAgent: A ReAct-Based Agent for Conversational Access to Clinical Trial Information

    Querying clinical trial registries remains a manual and error-prone process, requiring researchers to navigate large volumes of semi-structured data without support for natural language interaction or cross-source synthesis. To address this, we introduce ClinAgent, a conversation…

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