About lab
Hanson2016 - Toxicity Management in CAR T cell therapy for B-ALL Lab
Curated immunology lab using the bundled source model as the scientific source of truth.
What You'll See
This captured run documents the default Hanson2016 - Toxicity Management in CAR T cell therapy for B-ALL configuration for 10.0 time units with a 1.0 communication step. Default inputs include Initial Unresolved Tumor Observable 1, Initial Unresolved Tumor Observable 2, Initial Unresolved Tumor Observable 3, and Initial Unresolved Tumor Observable 4. Reported outputs include unresolved_tumor_observable_1, unresolved_tumor_observable_2, unresolved_tumor_observable_3, and unresolved_tumor_observable_4. The screenshots below pair the run-interpretation table with Tumor-immune burden and Largest state excursions so the README shows both trajectories and the strongest state changes from the same dark-mode run.
Output Visualizations
The run-interpretation table summarizes the configured Hanson2016 - Toxicity Management in CAR T cell therapy for B-ALL simulation and its final-state diagnostics.

The Tumor-immune burden time series follows the selected immune, pathogen, tumor, or signaling quantities across the simulated horizon.

The largest state excursions chart ranks the state variables that moved furthest during the run.

This model provides an in silico mathematical platform to explore the interactions between chimeric antigen receptor-modified T cells, inflammatory toxicitiy, and the tumour burdens of individual pati. It can be used to explore immune response dynamics and compare pathway-level behavior across conditions.
Runtime
Runs
Metadata
Manifest
{
"io": {
"inputs": [
{
"name": "initial_unresolved_tumor_observable_1",
"label": "Initial Unresolved Tumor Observable 1",
"units": "native source value",
"default": 10,
"maps_to": "immunology_sbml_hanson2016_toxicity_management_in_car_t_cell_the_biomd0000000837_model.initial_unresolved_tumor_observable_1",
"description": "Initial Unresolved Tumor Observable 1. Sets the initial value of bundled SBML species `C_m`."
},
{
"name": "initial_unresolved_tumor_observable_2",
"label": "Initial Unresolved Tumor Observable 2",
"units": "native source value",
"default": 10,
"maps_to": "immunology_sbml_hanson2016_toxicity_management_in_car_t_cell_the_biomd0000000837_model.initial_unresolved_tumor_observable_2",
"description": "Initial Unresolved Tumor Observable 2. Sets the initial value of bundled SBML species `C_e`."
},
{
"name": "initial_unresolved_tumor_observable_3",
"label": "Initial Unresolved Tumor Observable 3",
"units": "native source value",
"default": 10,
"maps_to": "immunology_sbml_hanson2016_toxicity_management_in_car_t_cell_the_biomd0000000837_model.initial_unresolved_tumor_observable_3",
"description": "Initial Unresolved Tumor Observable 3. Sets the initial value of bundled SBML species `H_m`."
},
{
"name": "initial_unresolved_tumor_observable_4",
"label": "Initial Unresolved Tumor Observable 4",
"units": "native source value",
"default": 10,
"maps_to": "immunology_sbml_hanson2016_toxicity_management_in_car_t_cell_the_biomd0000000837_model.initial_unresolved_tumor_observable_4",
"description": "Initial Unresolved Tumor Observable 4. Sets the initial value of bundled SBML species `H_e`."
},
{
"name": "initial_unresolved_tumor_observable_5",
"label": "Initial Unresolved Tumor Observable 5",
"units": "native source value",
"default": 1600,
"maps_to": "immunology_sbml_hanson2016_toxicity_management_in_car_t_cell_the_biomd0000000837_model.initial_unresolved_tumor_observable_5",
"description": "Initial Unresolved Tumor Observable 5. Sets the initial value of bundled SBML species `L`."
},
{
"name": "tumor_growth_rate",
"label": "Tumor Growth Rate",
"units": "native source value",
"default": 0.003,
"maps_to": "immunology_sbml_hanson2016_toxicity_management_in_car_t_cell_the_biomd0000000837_model.tumor_growth_rate",
"description": "Tumor Growth Rate. Sets bundled SBML parameter `r_1`."
},
{
"name": "tumor_killing_c_e_rate",
"label": "Tumor Killing C E Rate",
"units": "native source value",
"default": 0.0002,
"maps_to": "immunology_sbml_hanson2016_toxicity_management_in_car_t_cell_the_biomd0000000837_model.tumor_killing_c_e_rate",
"description": "Tumor Killing C E Rate. Sets bundled SBML parameter `d_1`."
},
{
"name": "inflammation_decay_rate",
"label": "Inflammation Decay Rate",
"units": "native source value",
"default": 1.5,
"maps_to": "immunology_sbml_hanson2016_toxicity_management_in_car_t_cell_the_biomd0000000837_model.inflammation_decay_rate",
"description": "Inflammation Decay Rate. Sets bundled SBML parameter `d_2`."
},
{
"name": "cytotoxic_t_cells_effector_decay_rate",
"label": "Cytotoxic T Cells Effector Decay Rate",
"units": "native source value",
"default": 0.004,
"maps_to": "immunology_sbml_hanson2016_toxicity_management_in_car_t_cell_the_biomd0000000837_model.cytotoxic_t_cells_effector_decay_rate",
"description": "Cytotoxic T Cells Effector Decay Rate. Sets bundled SBML parameter `d_3`."
},
{
"name": "helper_t_cells_effector_decay_rate",
"label": "Helper T Cells Effector Decay Rate",
"units": "native source value",
"default": 0.004,
"maps_to": "immunology_sbml_hanson2016_toxicity_management_in_car_t_cell_the_biomd0000000837_model.helper_t_cells_effector_decay_rate",
"description": "Helper T Cells Effector Decay Rate. Sets bundled SBML parameter `d_4`."
}
],
"outputs": [
{
"name": "unresolved_tumor_observable_1",
"maps_to": "immunology_sbml_hanson2016_toxicity_management_in_car_t_cell_the_biomd0000000837_model.unresolved_tumor_observable_1"
},
{
"name": "unresolved_tumor_observable_2",
"maps_to": "immunology_sbml_hanson2016_toxicity_management_in_car_t_cell_the_biomd0000000837_model.unresolved_tumor_observable_2"
},
{
"name": "unresolved_tumor_observable_3",
"maps_to": "immunology_sbml_hanson2016_toxicity_management_in_car_t_cell_the_biomd0000000837_model.unresolved_tumor_observable_3"
},
{
"name": "unresolved_tumor_observable_4",
"maps_to": "immunology_sbml_hanson2016_toxicity_management_in_car_t_cell_the_biomd0000000837_model.unresolved_tumor_observable_4"
},
{
"name": "unresolved_tumor_observable_5",
"maps_to": "immunology_sbml_hanson2016_toxicity_management_in_car_t_cell_the_biomd0000000837_model.unresolved_tumor_observable_5"
},
{
"name": "state",
"maps_to": "immunology_sbml_hanson2016_toxicity_management_in_car_t_cell_the_biomd0000000837_model.state"
},
{
"name": "summary",
"maps_to": "immunology_sbml_hanson2016_toxicity_management_in_car_t_cell_the_biomd0000000837_model.summary"
},
{
"name": "species_labels",
"maps_to": "immunology_sbml_hanson2016_toxicity_management_in_car_t_cell_the_biomd0000000837_model.species_labels"
}
]
},
"title": "Hanson2016 - Toxicity Management in CAR T cell therapy for B-ALL Lab",
"models": [
{
"path": "owned/models/immunology_sbml_hanson2016_toxicity_management_in_car_t_cell_the_biomd0000000837_model",
"alias": "immunology_sbml_hanson2016_toxicity_management_in_car_t_cell_the_biomd0000000837_model",
"provenance": {
"owned_path": "owned/models/immunology_sbml_hanson2016_toxicity_management_in_car_t_cell_the_biomd0000000837_model"
}
},
{
"path": "owned/models/visualisation",
"alias": "visualisation",
"provenance": {
"owned_path": "owned/models/visualisation"
}
}
],
"wiring": [
{
"to": [
"visualisation.immunology_sbml_hanson2016_toxicity_management_in_car_t_cell_the_biomd0000000837_model_state"
],
"from": "immunology_sbml_hanson2016_toxicity_management_in_car_t_cell_the_biomd0000000837_model.state"
},
{
"to": [
"visualisation.immunology_sbml_hanson2016_toxicity_management_in_car_t_cell_the_biomd0000000837_model_summary"
],
"from": "immunology_sbml_hanson2016_toxicity_management_in_car_t_cell_the_biomd0000000837_model.summary"
},
{
"to": [
"visualisation.immunology_sbml_hanson2016_toxicity_management_in_car_t_cell_the_biomd0000000837_model_species_labels"
],
"from": "immunology_sbml_hanson2016_toxicity_management_in_car_t_cell_the_biomd0000000837_model.species_labels"
}
],
"runtime": {
"duration": 10,
"initial_inputs": {},
"communication_step": 1
},
"description": "This model provides an in silico mathematical platform to explore the interactions between chimeric antigen receptor-modified T cells, inflammatory toxicitiy, and the tumour burdens of individual pati. It can be used to explore immune response dynamics and compare pathway-level behavior across conditions.",
"schema_version": "2.0"
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