MetaMind: A multi-agent transformer-driven framework for automated network meta-analyses

In our validation studies, MetaMind reduced the end-to-end NMA process to less than a week, compared with the several months typically needed for manual workflows, while preserving statistical rigor. This suggests its potential for future scaling of evidence synthesis to additional therapeutic areas.

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Publication Details

Journal
PLoS ONE
Published
2026-02-13
DOI
https://doi.org/10.1371/journal.pone.0342895
Primary Topic
Meta-analysis and systematic reviews
Type
article
Field-Weighted Citation Impact
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article

MetaMind: A multi-agent transformer-driven framework for automated network meta-analyses

Junjing Lin, Maria Kudela, Sai Dharmarajan, Margaret Gamalo et al.
PLoS ONE
Meta-analysis and systematic reviews
article

MetaMind: A multi-agent transformer-driven framework for automated network meta-analyses

Junjing Lin, Maria Kudela, Sai Dharmarajan, Margaret Gamalo, Achilleas Livieratos, Yuxi Zhao, Sotirios Tsiodras, Di Zhang, Vivek Rudrapatna, Xin Luo, All-shine Chen
article en

Abstract

In our validation studies, MetaMind reduced the end-to-end NMA process to less than a week, compared with the several months typically needed for manual workflows, while preserving statistical rigor. This suggests its potential for future scaling of evidence synthesis to additional therapeutic areas.

PLoS ONEVol. 21(2)
University of California, San Francisco (US), Pfizer (United States) (US), Teva Pharmaceuticals (United States) (US), Takeda (United States) (US), University General Hospital Attikon (GR), Teva Pharmaceuticals (Hungary) (HU), Sarepta Therapeutics (United States) (US), Takeda (Japan) (JP)
Quality Education
Openalex Percentile: Top 61%
Meta-analysis and systematic reviews
DOIOpen Access PDFOpenAlex
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MetaMind: A multi-agent transformer-driven framework for automated network meta-analyses — Junjing Lin, Maria Kudela, et al. · PLoS ONE (2026) | TGRS Research Map | TGRS