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Earlier ICANS Risk Prediction in CAR-T Therapy

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Helping CAR-T care teams identify elevated ICANS risk earlier through data-driven clinical decision support.

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Meet Axvia AI

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Axvia AI is being developed as a clinical decision-support platform that combines patient characteristics, treatment factors, laboratory biomarkers, and clinical monitoring data to assess elevated ICANS risk. The goal is to provide interpretable risk insights that complement clinical assessment and support earlier, more informed monitoring.

01.

Relevant patient information is collected throughout care.

Data Acquisition

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02.

AI/ML models evaluate patterns associated with ICANS risk.

Risk Assessment

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03.

Risk information is presented with context to help clinicians understand changes in risk.

⁠Clinical Insights

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04.

Risk information supports closer monitoring and clinical assessment.

Proactive Monitoring

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Why Earlier Risk Identification Matters

As CAR-T adoption grows, the need for earlier ICANS risk detection becomes increasingly critical.

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Up to 70%

Develop ICANS

700+

Patients Treated in Canada

34,000+

Global CAR-T Recipients

1 Mission

Earlier ICANS Detection

Current Stage
Phase I

Two prototypes built. Axvia AI is currently in the MVP development and validation phase.

Current Stage

A look at our current research milestones and clinical validation process.

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