AIVIS | Smart AI Quantification for Precision Medicine

Smart AI Quantification
for Precision Medicine

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Rapid, Reliable and Robust IHC Quantification for Precision Medicine

Qanti® IHC

Pathologists & Clinicians

Quantification for clinically useful IHC expression

Breast

NET

Thyroid

Gastric

Qanti® Discovery

Pharmaceutical companies & Researchers

Quantification for novel drug target IHC expression

CytoplasmUpcoming

Recent Publications

Assessment of established prognostic factors and artificial intelligence-based evaluation of tumor-infiltrating lymphocytes in oral tongue squamous cell carcinoma

Assessment of established prognostic factors and artificial intelligence-based evaluation of tumor-infiltrating lymphocytes in oral tongue squamous cell carcinoma

A Standardized Validation Framework of Ki-67 Digital Image Analysis Using a Public Dataset in Breast Cancer

ESMO Breast Cancer 2026

A Standardized Validation Framework of Ki-67 Digital Image Analysis Using a Public Dataset in Breast Cancer

AI-Based Quantification of Central Tumor-Infiltrating Lymphocytes to Predict Recurrence-Free Survival in Bladder Cancer TURB Specimens

AI-Based Quantification of Central Tumor-Infiltrating Lymphocytes to Predict Recurrence-Free Survival in Bladder Cancer TURB Specimens

Our Clients & Partners

Our Clients

Business Partners

Research Partners

Latest News

AIVIS Selected for Government’s "DIPS 1000+" Deep Tech Project to Advance ADC Biomarker Quantification

AIVIS Selected for Government’s "DIPS 1000+" Deep Tech Project to Advance ADC Biomarker Quantification

AIVIS Presents Two AI Studies on Cancer Treatment Response and Prognosis Prediction at USCAP 2026

AIVIS Presents Two AI Studies on Cancer Treatment Response and Prognosis Prediction at USCAP 2026

AimedBio Announces Strategic Investment and Joint Research with AIVIS in AI-Based Biomarker Quantification

AimedBio Announces Strategic Investment and Joint Research with AIVIS in AI-Based Biomarker Quantification

February 3, 2026

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