See the kind of patterns we review.
This is an anonymised sample layout based on a functional blood chemistry report. It shows how biomarkers can be grouped into metabolic, thyroid, inflammatory, cardiovascular, nutrient and hormone patterns — without exposing real patient identity.
Functional Blood Chemistry Analysis
A deeper review that looks beyond single markers. The goal is to identify relationships between biomarkers and translate them into practical next steps for food, lifestyle, supplementation and retesting.
- Prepared for
- Sample Client A
- Age / Sex
- 45-year-old female
- Fasting
- Yes
- Collected
- Sample date
- Clinician
- Careninja clinical team
Functional body system patterns
Highly likely pattern requiring deeper clinician review.
Likely pattern involving stress, energy and hormone resilience.
Possible pattern involving glucose, HbA1c, insulin and related markers.
Possible cardiometabolic pattern requiring context and follow-up.
Sample biomarker snapshot
Health priority preview
ApoB, LDL-C, non-HDL-C and ratio patterns help guide deeper cardiometabolic review.
Nutrient needs are reviewed together with symptoms, sun exposure, diet and inflammation.
T3, T4 and TSH relationships may reveal why symptoms can exist despite “normal” screening.
Serum magnesium is interpreted cautiously and may guide future testing or support.
This page uses fake patient details and an anonymised educational preview. It does not display an actual patient report and should not be used for self-diagnosis.