EXAONE Path 1.5

EXAONE Path 1.5 Unveiled at ASCO 2025 ━Strong On-Site Response Highlights Its Transformative Potential | by LG AI Research | Medium Sitemap Open in app Sign up Sign in Medium Logo Write Search Sign up Sign in 

EXAONE Path 1.5 Unveiled at ASCO 2025 ━Strong On-Site Response Highlights Its Transformative Potential

 LG AI Research 4 min read ·Jun 13, 2025 -- [](https://medium.com/m/signin?actionUrl=https://medium.com/_/bookmark/p/2f831faf1a49&operation=register&redirect=https://medium.com/@lgairesearch/exaone-path-1-5-2f831faf1a49&source=---header_actions--2f831faf1a49---------------------bookmark_footer------------------) Listen Share At ASCO 2025, LG AI Research unveiled EXAONE Path 1.5, the latest version of its AI model tailored for digital pathology.This release follows the debut of version 1.0 last year and marks another step forward in the development of AI-powered personalized medicine. EXAONE Path can predict genetic mutations and recommend optimal treatments and medications based solely on pathology images —without requiring conventional genetic testing. The new release further expands the possibilities of AI-driven precision healthcare. **Try EXAONE Path 1.5 Model →**

AI Technology Designed to Save Lives —EXAONE Path

Although pathology images may be unfamiliar to the general public, they are essential in clinical settings. These high-resolution images —often as large as 20,000 x 20,000 pixels —contain unique visual characteristics and color ranges that differ from standard images. The image content is also highly specific, often limited to structures like cell nuclei and cytoplasm. Because of these factors, there has been growing demand for specialized AI models capable of efficiently processing and analyzing pathology data. EXAONE Path was developed precisely to meet this need. By enabling AI to analyze and interpret whole-slide pathology images, EXAONE Path can predict genetic mutations without the time-consuming gene testing process.This breakthrough significantly reduces both the time and cost required for cancer diagnosis and treatment planning —cutting down a process that previously took up to two weeks. For patients with urgent conditions, this acceleration in decision-making can be life-saving. The first version of the model, EXAONE Path 1.0, launched in 2024, was integrated into MONAI, NVIDIA’s open-source AI platform for healthcare. As the only Korean AI model registered on MONAI, EXAONE Path demonstrated its global competitiveness and technical credibility. Within just two weeks of its release, the model was downloaded over 10,000 times —highlighting strong interest from medical professionals and researchers worldwide. With the release of version 1.5, LG AI Research continues to drive innovation at the intersection of AI and healthcare, aiming to deliver faster, smarter, and more accessible solutions for patients around the globe. Press enter or click to view image in full size ![]() EXAONE Path 1.0 model deployed on NVIDIA MONAI## Global Debut of EXAONE Path 1.5 at ASCO 2025 EXAONE Path 1.5 made its global debut at the 2025 Annual Meeting of the American Society of Clinical Oncology (ASCO), held from May 30 to June 3 in Chicago. ASCO is the world’s largest and most influential oncology conference, where clinicians and researchers from across the globe gather to share the latest advancements in cancer care. Press enter or click to view image in full size ![]() LG AI Research Booth at ASCO 2025 At the LG AI Research booth, the enhanced capabilities of EXAONE Path 1.5 captured the attention of international researchers and healthcare professionals. Lively discussions followed on how this AI technology could revolutionize both the precision and speed of cancer diagnosis and treatment. Many attendees expressed excitement at the model’s potential to redefine clinical workflows and improve patient outcomes.

EXAONE Path 1.5: More Powerful Than Ever

With EXAONE Path 1.5, LG AI Research continues to push the boundaries of AI-driven oncology. By addressing key challenges in pathology image analysis and integrating cutting-edge deep learning techniques, the new model delivers faster, more accurate insights —bringing the promise of AI-powered personalized medicine closer to reality. 1. Enhanced Understanding of Cellular Morphology :The 1.5 model is pretrained on an expanded dataset of approximately 73,000 whole-slide images, up from the previous 35,000. Having analyzed over 500 million tile images, the 1.5 model demonstrates a high level of understanding of the fine morphology of cells and tissue structures. 2. **Optimized for Whole-Slide Image…