Immunotherapy Clonal Dynamics Cohort Generator

What this is Free demo of the Immunotherapy Clonal Dynamics Cohort Generator — a command-line tool producing fully synthetic cohorts of tumor clonal dynamics under immune checkpoint inhibition (nivolumab, pembrolizumab, atezolizumab). The model Five coupled ODEs drive every patient trajectory: Sensitive clone : dV_sens/dt = λ_s·V_sens·(1 − V_total/K) − α·I_eff·V_sens − κ·C_c·V_sens Resistant clone : dV_res/dt = λ_r·V_res·(1 − V_total/K) − α_r·I_eff·V_res (α_r < α, no drug kill) Effector immune population : dI_eff/dt = σ − δ·I_eff + (ρ0 + β·C_c)·I_eff·V_total/(V_total + K_half) Two-compartment PK : IV bolus, time-dependent clearance CL(t) = CL·(1 − emax·t^hill/(T50^hill + t^hill)) Three counterfactual treatment arms per patient: continuous (label dosing, 120 d), adaptive stop/resume (oracle controller), early aggressive (2× dose). Fixed-step RK4, 0.5-day output grid. Demo limitations 100 patients per run (full version: 10,000+). Fixed master seed 20260828. Frozen calibration. DEMO-stamped outputs. HMAC-signed license file. Output tables patients.parquet, treatment_regimens.parquet, clonal_profiles.parquet, outcomes.parquet — same schema as the full version. Validation Calibration anchors: melanoma ORR 0.376 vs 0.365, NSCLC 0.169 vs 0.172, renal 0.214 vs 0.215. 31/31 cohort checks PASS, 12/12 model unit tests PASS. 72 constants: 34 VERIFIED, 38 ESTIMATE_SOURCED, 0 ... Full description with all tables is on the Wiki page of this project. Full dataset and purchase: https://sentineldata.com.ua/dataset/immunotherapy-clonal-dynamics-cohort-generator . Zenodo copy: https://doi.org/10.5281/zenodo.23266706

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Publication Details

Journal
Open Science Framework
Published
2026-11-07
DOI
https://doi.org/10.17605/osf.io/fthxj
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
0.00
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article

Immunotherapy Clonal Dynamics Cohort Generator

Chekerskyi Maksym
4 links
Open Science Framework
Cancer Immunotherapy and Biomarkers
article

Immunotherapy Clonal Dynamics Cohort Generator

Chekerskyi Maksym
article en

Abstract

What this is Free demo of the Immunotherapy Clonal Dynamics Cohort Generator — a command-line tool producing fully synthetic cohorts of tumor clonal dynamics under immune checkpoint inhibition (nivolumab, pembrolizumab, atezolizumab). The model Five coupled ODEs drive every patient trajectory: Sensitive clone : dV_sens/dt = λ_s·V_sens·(1 − V_total/K) − α·I_eff·V_sens − κ·C_c·V_sens Resistant clone : dV_res/dt = λ_r·V_res·(1 − V_total/K) − α_r·I_eff·V_res (α_r < α, no drug kill) Effector immune population : dI_eff/dt = σ − δ·I_eff + (ρ0 + β·C_c)·I_eff·V_total/(V_total + K_half) Two-compartment PK : IV bolus, time-dependent clearance CL(t) = CL·(1 − emax·t^hill/(T50^hill + t^hill)) Three counterfactual treatment arms per patient: continuous (label dosing, 120 d), adaptive stop/resume (oracle controller), early aggressive (2× dose). Fixed-step RK4, 0.5-day output grid. Demo limitations 100 patients per run (full version: 10,000+). Fixed master seed 20260828. Frozen calibration. DEMO-stamped outputs. HMAC-signed license file. Output tables patients.parquet, treatment_regimens.parquet, clonal_profiles.parquet, outcomes.parquet — same schema as the full version. Validation Calibration anchors: melanoma ORR 0.376 vs 0.365, NSCLC 0.169 vs 0.172, renal 0.214 vs 0.215. 31/31 cohort checks PASS, 12/12 model unit tests PASS. 72 constants: 34 VERIFIED, 38 ESTIMATE_SOURCED, 0 ... Full description with all tables is on the Wiki page of this project. Full dataset and purchase: https://sentineldata.com.ua/dataset/immunotherapy-clonal-dynamics-cohort-generator . Zenodo copy: https://doi.org/10.5281/zenodo.23266706

Open Science Framework
Good health and well-being
Openalex Percentile: Top 17%
Cancer Immunotherapy and Biomarkers
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