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AI-powered mitotic figure detection for breast cancer grading
Company profile
Company profile
Aiosyn is a computational pathology company that develops AI-powered software solutions for cancer and kidney disease diagnosis and research. Founded as a spin-off from Radboudumc in the Netherlands, the company combines over 20 years of research experience with state-of-the-art artificial intelligence and engineering to create precision pathology solutions. Aiosyn's technology analyzes whole slide images using deep learning algorithms to enhance diagnostic accuracy and efficiency in digital pathology workflows. The company offers three main product lines: AiosynQC for automated quality control of digital histology slides, Aiosyn Mitosis Breast for identifying mitotic figures in breast cancer H&E sections, and the NephroPath platform for precise quantification of kidney lesion scores. These solutions are tightly integrated into existing pathology workflows, ensuring seamless adoption without disrupting established processes. Aiosyn serves clinical diagnostics laboratories, biopharma organizations, CROs, and AI/data providers. For clinical labs, the company provides certified diagnostic algorithms that augment pathologists' capabilities. For life sciences organizations, Aiosyn supports drug development by identifying novel pathology-based biomarkers and streamlining review processes. The company's modular software approach and close collaboration with pathology laboratories enable co-development of solutions that address real-world clinical needs while improving patient outcomes worldwide.
Company description Aiosyn official website
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01 · Operating footprint
Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.
Cloud Saas · Hybrid deployment with recorded integration context.
Recorded integration context: Standard digital pathology viewers, Techcyte Fusion digital pathology platform, Telemis.
Company milestones
IVDR-certified AI technology with Telemis (June 2025), expanded AI-powered quality control with incomplete scan detection (April 2025), Techcyte collaboration for Fusion platform integration (March 2025)
Partnerships
02 · Flagship portfolio
Selected source-backed Company products and the available commercial context.
AI-powered mitotic figure detection for breast cancer grading
AI-powered kidney histopathology evaluation and biomarker scoring
AI-powered computational pathology for kidney disease quantification
03 · Research intelligence
Publications, preprints, clinical validation, and regulatory records in Evidence Position order.
Publications, clinical validation, and regulatory records connected to this Company appear here.
Research
European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences · Jun 17, 2026
Clinical validation
No linked records are currently available.
Regulatory
No linked records are currently available.
04 · Company-reported outcomes
Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.
Digital pathology workflows
Biomarker discovery for biopharma
Clinical laboratories
Integration of IVDR-certified AI technology for breast cancer diagnosis
Integration of AI-powered slide QC and mitotic counting into Fusion digital pathology platform
05 · Leadership
Leadership profiles and professional links from the current Company record.
No active leadership profiles are currently listed.
06 · Company updates
Recent articles published on Aiosyn's official website.
07 · HAIC coverage
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08 · Official presence
Curated official destinations from the active Company record.
09 · Market pathway
Other active Companies in the same market, selected alphabetically from the HAIC directory.
Market context
Companies applying AI to digital pathology, histopathology slide analysis, laboratory diagnostics, or biomarker discovery. Includes AI-powered interpretation of lab test results, at-home diagnostic devices with AI analysis, and platforms that analyze tissue samples or biological specimens to support clinical diagnosis.
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