Healthcare

Lunit

AI platform for cancer detection, diagnosis, and biomarker analysis.

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cancer AI radiology AI pathology AI biomarker discovery precision medicine oncology medical imaging
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About Lunit

Lunit develops AI-powered solutions for cancer screening, diagnosis, and treatment optimization. Its platform combines medical imaging, pathology, and biomarker analysis to support precision oncology across the cancer care continuum. Lunit's products are used for applications such as chest X-ray interpretation, mammography screening, and immunotherapy response prediction. The company partners with hospitals, imaging centers, and pharmaceutical organizations worldwide. Its FDA-cleared and CE-marked solutions are deployed in more than 65 countries.

Frequently Asked Questions

What is Lunit and how does it advance global cancer care and precision oncology?
Lunit is an enterprise-grade medical artificial intelligence company dedicated to conquering cancer through advanced deep learning software designed for early detection and treatment optimization. Operating across healthcare systems and biopharma research workflows in over 65 countries, the platform bridges the gap between diagnostic imaging and therapeutic selection. By analyzing medical images and tissue slides with high-performance algorithms, Lunit delivers actionable insights to medical specialists, helping clinical teams catch malignancies at their earliest stages and matching oncology patients to the most effective therapeutic paths.
What clinical modules and screening tools are provided within the Lunit INSIGHT suite?
The Lunit INSIGHT suite consists of regulatory-cleared diagnostic software built to optimize workflow efficiency and catch hidden abnormalities in standard radiological imaging. For pulmonary imaging, Lunit INSIGHT CXR analyzes chest radiographs to flag major lung abnormalities such as nodules, fibrosis, and pneumothorax, while its accompanying triage engine automatically prioritizes critical cases on the radiologist's active worklist. For breast health, the platform delivers Lunit INSIGHT MMG for two-dimensional mammography and Lunit INSIGHT DBT for three-dimensional digital breast tomosynthesis, analyzing dense breast tissue to calculate malignancy likelihood scores and isolate subtle lesions that might otherwise escape human detection.
How does the Lunit SCOPE suite optimize digital pathology and clinical trial stratification?
The Lunit SCOPE suite provides an advanced digital pathology environment designed exclusively for research use to accelerate biomarker discovery, optimize clinical trials, and support companion diagnostic development for biopharmaceutical innovators. Within this suite, Lunit SCOPE IO conducts spatial tissue analysis of standard H&E slides to decode the tumor microenvironment, mapping immune phenotypes and tracking critical structures like tumor-infiltrating lymphocytes and tertiary lymphoid structures. Furthermore, the specialized Lunit SCOPE IHC engine automates the quantification of targeted protein expression across markers like PD-L1 and HER2, while Lunit SCOPE GP acts as an intelligent genotype predictor to rapidly assess the likelihood of actionable driver mutations before molecular testing results are finalized.
How does Lunit integrate with existing hospital hardware architectures and secure data networks?
The platform features a highly interoperable, vendor-neutral architecture deployed via cloud-first configurations and secure local network servers to maintain total compatibility with major medical scanner manufacturers. It establishes direct pipelines with hospital Picture Archiving and Communication Systems, laboratory information systems, and electronic health records to ensure AI analysis finishes right as a scan or digital slide is saved. To protect sensitive protected health information across its global network, Lunit maintains strict enterprise security frameworks, achieves full compliance with regional privacy laws like HIPAA and GDPR, and holds prestigious global certifications including ISO 13485 and MDSAP.

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