Structured, evidence-based decision support for complex oncological cases.

Medical Evidence AI structures clinical data in an evidence-based manner and supports the assessment of complex therapeutic situations — optionally complemented by immune status analysis and tumor activity in the blood.

✔ 80+ structured case analyses

✔ Anonymized & GDPR-compliant

✔ Evidence-based (studies & clinical guidelines)

✔ Developed for physicians and medical professionals

Three levels of structured cancer analysis

Medical Evidence AI combines key factors of modern oncology into an evidence-based overall assessment.

Tumor Biology

Analysis of tumor type, stage, molecular characteristics, and previous treatment history.

Immune System

Structured assessment of relevant immune cell populations to evaluate the individual immunological baseline status.

Scientific Evidence

Comparison of the available patient data with current international studies and clinical guidelines.

Why this combination is crucial

In clinical practice, many diagnostic procedures are used, including:

Tumor markers
Molecular analyses
Imaging procedures
Routine laboratory testing

These provide valuable individual insights — however, often without a structured overall assessment.

This is exactly where Medical Evidence AI comes in.

How the Case Analysis Works - Simple and Structured.png

The often underestimated factor: the immune system

In routine clinical practice, immune status is often not integrated into decision-making in a detailed manner.

Yet the immune system plays a major role in influencing:

Response to therapies
The effectiveness of immuno-oncological approaches
The course of the disease

Expanded perspective through additional parameters

Medical Evidence AI enables the structured integration of immunological and dynamic monitoring parameters, including:

Immune status (e.g., T-, B-, and NK-cell populations)
Circulating tumor cells (CTCs) as an indicator of tumor activity

These parameters complement existing diagnostic information and provide an expanded basis for clinical decision-making.

How the case analysis works — simple and structured

Medical Evidence AI integrates seamlessly into your clinical workflow — fast, transparent, and without additional effort.

1. Submit the case digitally

You submit the relevant patient data in a structured format via the portal:

Medical history
Tumor status
Treatment history
Existing findings and laboratory results

2. Structured Analysis

The data are systematically consolidated and evaluated in the context of:

Tumor biology
Clinical course
Scientific evidence

3. Optional: Advanced Diagnostics

If required, the analysis can be supplemented with:

Immune status (T-, B-, and NK-cell populations)
Circulating tumor cells (CTCs)

4. Result: Structured Report

You receive a clear, evidence-based assessment to support your clinical decision-making.

Focus on Immuno-Oncology

The importance of the immune system in oncology continues to grow.
Medical Evidence AI therefore specifically integrates immunological parameters into the context of clinical decision-making:

Structured analysis of immune status
Classification of immunological markers
Evaluation of immuno-oncological therapeutic approaches
Comparison with current scientific evidence

The goal is to provide an expanded, patient-specific perspective on complex therapeutic situations.

Data Protection and Security

The protection of sensitive medical data is a top priority.

Medical Evidence AI operates in strict compliance with the GDPR (General Data Protection Regulation) and enables fully anonymized or pseudonymized case analyses.