# LG AI Research — Solving Bio-Challenges: Juseung Yun, the Mind Behind EXAONE Path

- Company: LG AI Research (lgresearch.ai)
- Announced: 2026-05-19T00:00:00+00:00
- Category: research-paper
- Subject: EXAONE
- Models affected: EXAONE Path, EXAONE Path 2.5
- Source: https://www.lgresearch.ai/blog/view?seq=649
- Record: https://forck.live/items/4749-solving-bio-challenges-juseung-yun-the-mind-behind-exaone-path

LG AI Research introduces EXAONE Path, a pathology foundation model with 135M parameters that achieves world-class performance despite being smaller than competitors. The model integrates pathology images with multi-omics data (RNA, CNV, SNP, methylation) in version 2.5, and is designed for cancer subtype classification, tumor microenvironment interpretation, and treatment response prediction.

## Evidence

Verbatim from https://www.lgresearch.ai/blog/view?seq=649:

> What sets EXAONE Path apart is its overwhelming efficiency. Despite having significantly fewer parameters (135M) and a smaller data scale compared to competitors like Virchow2-G (1.9B), H-optimus-0 (1.1B), and UNI2-h (681M), it delivers world-class performance.

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