# ClinicalTrialsHub: Bridging Registries and Literature for Comprehensive Clinical Trial Access

Source: [ClinicalTrialsHub: Bridging Registries and Literature for Comprehensive Clinical Trial Access](<https://www.sota2.com/research/paper/6938feb96cfd488761a53e96>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-03-21T05:00:10.757Z

Authors: Jiwoo Park, Ruoqi Liu, Avani Jagdale, Andrew Srisuwananukorn, Jing Zhao, Lang Li, Ping Zhang, Sachin Kumar

Published: 2025-12-09T02:52:06.000Z

## Abstract

We present ClinicalTrialsHub, an interactive search-focused platform that consolidates all data from ClinicalTrials.gov and augments it by automatically extracting and structuring trial-relevant information from PubMed research articles. Our system effectively increases access to structured clinical trial data by 83.8% compared to relying on ClinicalTrials.gov alone, with potential to make access easier for patients, clinicians, researchers, and policymakers, advancing evidence-based medicine. ClinicalTrialsHub uses large language models such as GPT-5.1 and Gemini-3-Pro to enhance accessibility. The platform automatically parses full-text research articles to extract structured trial information, translates user queries into structured database searches, and provides an attributed question-answering system that generates evidence-grounded answers linked to specific source sentences. We demonstrate its utility through a user study involving clinicians, clinical researchers, and PhD students of pharmaceutical sciences and nursing, and a systematic automatic evaluation of its information extraction and question answering capabilities.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

- [Information Retrieval on Clinical Trial Search Top 30 results](<https://www.sota2.com/research/sota/information-retrieval-on-clinical-trial-search-top-30-results.md>): Information Retrieval; Clinical Trial Search Top 30 results; Count at Rank 0: 0.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2512.08193>)

[PDF](<https://arxiv.org/pdf/2512.08193.pdf>)