Lunit's AI Breakthrough: Predicting EGFR Mutations in Lung Cancer from Standard Scans

2 Sources

Share

Lunit, in collaboration with AstraZeneca, develops an AI model that can predict EGFR mutations in non-small cell lung cancer patients using standard H&E-stained tissue samples, potentially revolutionizing cancer diagnostics and treatment.

News article

Lunit's AI Model Predicts EGFR Mutations in Lung Cancer

Lunit, a South Korean medical AI company, is set to present a groundbreaking study at the American Association for Cancer Research (AACR) Annual Meeting 2025 in Chicago. The study, conducted in collaboration with AstraZeneca, introduces the Lunit SCOPE Genotype Predictor, an AI-powered deep learning model capable of predicting Epidermal Growth Factor Receptor (EGFR) mutations in non-small cell lung cancer (NSCLC) patients using standard hematoxylin and eosin (H&E)-stained tissue samples

1

2

.

Addressing a Critical Need in Cancer Diagnostics

EGFR mutation testing is crucial for determining optimal treatment strategies for NSCLC patients. However, logistical and resource constraints often prevent widespread testing, leaving many patients untested despite guideline recommendations. The Lunit SCOPE Genotype Predictor aims to overcome these barriers by providing a rapid and cost-effective method for predicting EGFR mutations

2

.

Robust Performance Across Diverse Clinical Settings

What sets Lunit's AI model apart is its extensive and diverse training dataset. The model was developed and validated using over 12,000 pathology slides from multiple countries, including the United States, China, and South Korea. This dataset comprises more than 4,500 EGFR-mutated slides and over 7,500 wild-type slides, ensuring the model's applicability in real-world clinical environments

1

2

.

The AI model demonstrated consistent performance across various clinical variables, including:

  1. Specimen types
  2. EGFR mutation subtypes
  3. Slide scanners
  4. Scan magnifications

This versatility reinforces the model's potential for deployment in diverse clinical settings globally

2

.

Potential Impact on Cancer Treatment

Brandon Suh, CEO of Lunit, emphasized the significance of this development: "By leveraging Lunit AI, we have demonstrated that routine pathology slides can serve as a powerful tool to predict EGFR mutations with high accuracy. This could help clinicians prioritize molecular testing for NSCLC patients, ensuring that patients receive targeted therapy without unnecessary delays"

2

.

The ability to predict EGFR mutations from standard H&E-stained slides could potentially revolutionize the diagnostic process, allowing for more timely and targeted treatment decisions.

Lunit's Growing Global Presence

Founded in 2013 in Seoul, South Korea, Lunit has established itself as a leading provider of AI-powered cancer diagnostics and therapeutic solutions. The company's FDA-cleared Lunit INSIGHT suite for cancer screening is currently in use across over 4,800 medical institutions in 55 countries

1

2

.

Lunit's research has been published in prestigious journals such as the Journal of Clinical Oncology and the Lancet Digital Health. The company has also presented its findings at high-impact conferences like ASCO and RSNA, further solidifying its position in the field of AI-driven precision oncology

1

2

.

As Lunit continues to expand its international reach and impact on cancer research and treatment, the presentation of this EGFR mutation prediction study at AACR 2025 marks another significant milestone in the company's mission to conquer cancer through AI.

TheOutpost.ai

Your Daily Dose of Curated AI News

Don’t drown in AI news. We cut through the noise - filtering, ranking and summarizing the most important AI news, breakthroughs and research daily. Spend less time searching for the latest in AI and get straight to action.

© 2025 Triveous Technologies Private Limited
Instagram logo
LinkedIn logo