Lung PD-L1 AI Brochure
Learn more about the automated workflow and benefits of utilizing Lung PD-L1 AI.
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Clinical
An Automated Deep Learning Artifact Detection Tool for Quality Control of Whole-Slide Digital Pathology Images
Explore SlideQC: an AI-based tool which identifies pre-analytic processing errors in whole-slide images for quality control in digital pathology laboratories.
Clinical Scoring and Validation of a Comprehensive AI-powered Tumour Content and Lung Macrodissection Algorithm
Learn more about Lung Macrodissect AI, an AI-based tool for tumor content quantification and ROI selection guidance.
HALO AP Integrations
Read this white paper to learn about the importance of integration and interoperability in digital pathology and explore examples of how flexible solutions like HALO AP® can enhance workflow efficiency and diagnostic accuracy.
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HALO AP® and HALO AP Dx Brochure
Download our brochure to learn more about how HALO AP®, the CE-IVDR-cleared image management system and HALO AP Dx, FDA 510(k)-cleared for primary diagnosis, are deployed to improve clinical workflows
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HALO AP® Cloud Services Brochure
Discover how our Cloud Services team can provide a secure, scalable, and flexible cloud deployment of HALO AP.
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Cloud Services and AI Diagnostics Case Study
Learn how the optimized, scalable infrastructure provided by Indica Labs Cloud Services enables the rapid development and robust collaboration of our AI Diagnostics group, powering the next generation of automated AI-based decision support tools.
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HALO AP® NUH Case Study
Learn more about Nottingham University Hospitals NHS Trust’s transition to digital pathology and how HALO AP® has played a pivotal role in improving diagnostic efficiency and patient care.
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HALO AP® Deep Bio Case Study
Discover how the seamless integration of third-party image analysis algorithms, such as DeepDx from Deep Bio, with HALO AP® can benefit your lab.
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Automated PD-L1 Tumor Proportion Scoring Algorithm in Non-Small Cell Lung Cancer for Multiple Companion Diagnostic Assays
Read about the development and validation of an AI-based PD-L1 scoring algorithm for HALO AP®.