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MIXTURE AI

Revolutionizing Pathology Diagnostics – The Next-Generation AI Partner

At N Lab, we harness artificial intelligence (AI) and digital pathology to standardize and enhance the accuracy of pathology diagnostics.

• See the diagnostic rationale: Understand exactly what the AI is analyzing
• Support pathologists, not replace them: AI assists in decisions, but the final diagnosis remains in human hands
• Improve patient communication: Clearly explain findings with evidence-based AI support

At N Lab, we harness artificial intelligence (AI) and digital pathology to standardize and enhance the accuracy of pathology diagnostics. By implementing our solutions in medical institutions and research organizations, we improve pathologists’ workflows and support research initiatives.

In collaboration with Nagasaki University’s Department of Pathology Informatics and the National Institute of Advanced Industrial Science and Technology (AIST), we are developing medical AI solutions using MIXTURE. Unlike conventional “black-box” AI, MIXTURE is a next-generation explainable AI (X-AI) methodology that builds models which can clarify their diagnostic process. By leveraging “white-box” AI models, pathologists can make more informed final diagnoses. X-AI enhances the precision of explanations given to patients, ensuring greater reliability and trust in medical decisions supported by AI.

About MIXTURE

MIXTURE integrates expert diagnostic knowledge with AI technology to create highly accurate diagnostic models. By combining human expertise with AI capabilities, we enable objective and explainable pathology diagnostics. This innovative approach, developed by Professor Fukuoka and Dr. Uegami at Nagasaki University, is designed to support diagnostic models for a wide range of diseases. (Patent pending)

A World-First Achievement in Explainable AI for Interstitial Pneumonia

Diagnostic model for interstitial pneumonia

Our Interstitial Pneumonia diagnostic model developed with MIXTURE achieved over 90% accuracy in diagnosing Usual Interstitial Pneumonia (UIP), one of the most challenging diseases to diagnose. This model aids in early diagnosis and treatment planning, accurately distinguishing disease progression.
For more details, please refer to our study published in Modern Pathology.

The MIXTURE-UIP model provides the pathologist with a basis for decision-making

Japanese Patent No. 7430314

Expanding AI-Powered Diagnosis to More Diseases

We are currently developing diagnostic models for lung cancer, gastric cancer, prostate cancer, brain tumors, and salivary gland tumors.

Growing Expectations for the Clinical Application of AI

  • Detection of Lymph Node Metastasis (Screening)
  • Cancer Cell Detection (Screening)
  • Estimation of Tumor Cell Content
  • Prediction of Genetic Mutations
  • Analysis of Immunohistochemical (IHC) Staining Results
  • Support for Double-Reading by Pathologists
  • Utilization of Multimodal AI
MIXTURE AI is designed for hospitals, testing laboratories, pharmaceutical companies, researchers, and physicians who need higher diagnostic accuracy, better interpretability, and improved efficiency in pathology workflows.
Join us in shaping the future of medicine. Let’s lead the evolution of healthcare together.
We also welcome collaborative research opportunities—feel free to contact us!
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