THE SCENARIO LIBRARY / 04

Different cells.
Different challenges.

A shared question, four approaches: how can a simulated strategy distinguish sick cells from healthy tissue?

01 / SIMULATION

Solid tumor

A cluster of cells has lost its stop signal and keeps dividing.

HYPOTHETICAL APPROACH

Targeted inhibitor against a growth receptor found mostly on the tumor cells.

85% model selectivityOpen in lab
02 / SIMULATION

Blood cancer

Abnormal white cells crowd out healthy ones in the marrow.

HYPOTHETICAL APPROACH

Engineered immune cells (CAR-T style) trained to find a surface marker.

75% model selectivityOpen in lab
03 / SIMULATION

Viral infection

A virus hijacks cells to copy itself and spreads to neighbours.

HYPOTHETICAL APPROACH

Antiviral that blocks the copy step, plus immune cells clearing infected cells.

90% model selectivityOpen in lab
04 / SIMULATION

Broad chemotherapy

Fast-dividing tumor cells spread through a tissue.

HYPOTHETICAL APPROACH

A drug that attacks any rapidly dividing cell — effective, but less selective.

45% model selectivityOpen in lab

All scenarios use simplified toy models. Selectivity values are model settings, not measured treatment outcomes.