Interactive model

Cytokine intelligence, simulated.

The Q-SENS panel measures five cytokines from a finger-prick in under ten minutes. This model shows how those readings move across disease states, patient profiles, and time — the immune signatures the platform is built to detect.

IL-6 IL-10 TNF-α IFN-γ IL-1β PCT*

Modifying factors

Patient profile

Adjust demographics and clinical status. These modify peak amplitude, kinetics, and marker ratios using published immunological priors, and update every view below in real time.

Age35 yr

BMI24

Biological sex

Immunosuppressed

Vaccinated (bio threats)

Disease severity / activity

Inflammatory & oncologic

Select a condition

Chronic inflammatory and oncologic conditions where cytokine profiling supports diagnosis, therapy-target identification, biologic monitoring, and detection of complications.

Time 2w —

Time-course immune response

Modeled trajectories from published immunopathology. Each marker is shown as fold-elevation above its upper limit of normal (ULN). Drag the time control to move the cursor.

—

Select a condition above.

Pattern flags at selected time point

Clinical rationale

The biological basis for the observed cytokine pattern, its diagnostic implications, and how Q-SENS supports decision-making for the selected condition.

—

Comparative snapshot

at 2w

Literature-derived cytokine patterns for all inflammatory and oncologic conditions at the selected time point. Click any row to select that condition above.

Condition	Category	IL-6	IL-10	TNF-α	IFN-γ	IL-1β	PCT*

1× (ULN)5×20×50×100×200×+

Panel readout at 2w

Absolute concentrations and fold-elevation at the selected time point for the active condition and current patient profile.

CBRN threat conditions

Select a condition

Conditions encountered in chemical, biological, radiological, and nuclear threat scenarios. The Q-SENS panel provides a threat-agnostic host-response signature that guides triage before agent identification.

Time 24 h Established

Time-course immune response

Modeled trajectories from published immunopathology. Each marker is shown as fold-elevation above its upper limit of normal (ULN). Drag the time control to move the cursor.

—

Select a condition above.

◂ Prodromal ▸ ◂ Established / Progressive Phase ▸

Pattern flags at selected time point

Clinical rationale

The biological basis for the observed cytokine pattern, its diagnostic implications, and how Q-SENS supports decision-making for the selected CBRN condition.

—

Comparative snapshot

at 24 h

Literature-derived cytokine patterns for all CBRN threat conditions at the selected time point (hours post symptom onset). Click any row to select that condition above.

Condition	Category	IL-6	IL-10	TNF-α	IFN-γ	IL-1β	PCT*

1× (ULN)5×20×50×100×200×+

Panel readout at 24 hours

Absolute concentrations and fold-elevation at the selected time point for the active CBRN condition and current patient profile.

The panel

Marker selection rationale

Each marker in the panel was selected for its distinct biological role, broad relevance across threat categories, and measurability at clinically meaningful concentrations from capillary blood.

Cytokine intelligence, simulated.

Interested in Q-SENS?