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

- Company: LG AI Research (lgresearch.ai)
- Announced: 2026-05-19
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://www.lgresearch.ai/news/view?seq=649
- Record: https://forck.live/items/10991-solving-bio-challenges-juseung-yun-the-mind-behind-exaone-path
- Subject: EXAONE
- Models affected: EXAONE Path, EXAONE Path 2.5

LG AI Research's Bio Intelligence Lab developed EXAONE Path, a pathology foundation model with 135 million parameters that achieves world-class performance despite being smaller than competitors. The model ranked 1st in internal datasets and 2nd in the global public benchmark Patho-bench. A subsequent version, EXAONE Path 2.5, integrates pathology images with multi-omics data including RNA, CNV, SNP, and methylation.

## Evidence

Verbatim from https://www.lgresearch.ai/news/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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