March 9, 2022

Health Data Nexus in beta!

The Health Data Nexus platform is in beta. Please report any issues you find to contact@healthdatanexus.ai

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Test

Karol Szuster

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Quisque scelerisque venenatis mauris. Ut et felis ut lacus pellentesque placerat sed eu nibh. Praesent eleifend mi vel pulvinar feugiat. Proin tempus dictum urna et sagittis. Morbi facilisis or Published: March 6, 2023. Version: 1.0

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Database Open Access

MIMIC-III-Ext-Synthetic-Clinical-Trial-Questions

rafal koslatest

In our recent study, we used Llama-3.1-70B-Instruct to generate synthetic training examples resembling clinical trial eligibility criteria. We manually reviewed 1000 of these examples and release them here.

Published: Aug. 7, 2023. Version: 1.0
Database Credentialed Access

Bridge2AI-Voice: An ethically-sourced, diverse voice dataset linked to health information

Wojtek Wisniewski

In our recent study, we used Llama-3.1-70B-Instruct to generate synthetic training examples resembling clinical trial eligibility criteria. We manually reviewed 1000 of these examples and release them here.

Published: March 28, 2023. Version: 1.0
Database Open Access

HealthAI-Genomics: A dataset for genomic clinical trial matching

rafal kosla

This dataset includes genomic sequences and their matched clinical trials, aiding researchers in precision medicine initiatives.

Published: March 7, 2023. Version: 1.0.0

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May 22, 2025

This repository is under review by NIH for potential modification in compliance with U.S. federal Administration directives.

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May 22, 2025

New Dataset: Bridge2AI-Voice v1.0 Now Available on PhysioNet

We are pleased to announce the release of Bridge2AI-Voice v1.0, a dataset designed to advance research into the use of voice as a biomarker of health. This dataset, developed as part of the NIH Bridge2AI initiative, aims to support artificial intelligence research by providing ethically sourced, high-quality voice-derived data linked to clinical information.
May 22, 2025

BioNLP @ACL 2025 Shared Task on Grounded Electronic Health Record Question Answering (ArchEHR-QA)

The overarching goal of the ArchEHR-QA 2025 (pronounced "Archer") shared task is to develop automated responses to patients' questions by generating answers that are grounded in key clinical evidence from their electronic health records (EHRs). The proposed dataset, ArchEHR-QA, comprises hand-curated, realistic patient questions (reflective of patient portal messages), relevant focus areas identified within these questions (as determined by a clinician), corresponding clinician-rewritten versions (crafted to aid in formulating responses), and note excerpts providing essential clinical context.