DIAGNOSTICS

Diagnostics and longitudinal monitoring - interpreted in context.

Medical Evidence AI connects tumour biology, molecular biomarkers, pathology, imaging, immune status, circulating tumour cells and longitudinal findings instead of treating each result as an isolated value.

From a laboratory value to a clinically useful evidence question

The platform separates findings that can directly influence established treatment selection from supportive or exploratory measurements. Reference ranges, assay method, date and treatment context remain visible so that trends are not mistaken for causal effects.

Clinical principle: Immune-cell counts, CTC values or other exploratory measurements are not converted automatically into a treatment indication. The Evidence Report identifies what is measured, what is clinically validated, what remains exploratory and what information is still missing.

What can be entered into a case?

Diagnosis and stage → pathology → molecular biomarkers → imaging → previous and current treatments → standard laboratory results → immune profile → CTC/tumour dynamics → clinical course.

The result is a structured evidence synthesis for professional review, not an autonomous diagnosis or treatment decision.

Start 3 free pilot analyses