ID column (one row per
animal per timepoint, ≥ 2 animals, ≥ 3 observations each) — the engine fits each animal's
trajectory, it does not average them. Fits take ~2–5 min; the report is emailed when ready.
If the model does not converge on your data, the report says so honestly — there is no
degraded pooled-fit fallback.
Tumor Auto-Diagnose
Upload tumor growth data. The engine compares 6 structural models — Exponential, Logistic, Gompertz, Hahnfeldt classical, power-law, and exponential-linear — per animal by NLME (nlmixr2 FOCE-I), ranked by AIC.
Fractional model not reported: model-selection criterion under review (false positives 15 % with 6 measurements, study FFCD-0). Only the classical fits are shown.
1 · Upload dataset
▶ Accepted CSV format · click to expand
Required columns (case-insensitive, common aliases accepted):
TIME— time since implantation. Aliases:time,t,day,days,day_post_implant,tiempo,temps,zeit,tagV— tumor volume. Aliases:v,volume,tumor_volume,tv,v_mm3,volumen
Optional: ID (subject/animal identifier — aliases: animal, mouse, subject, sujeto, sujet, tier).
Header flexibility — punctuation, case, and parenthesised units are tolerated. Volume (mm³), tumor-volume, TumorVolume all map to V. ES/FR/DE headers are accepted.
Minimum size: 4 distinct time points.
Example:
ID,TIME,V 1,0,50 1,7,120 1,14,260 1,21,500 1,28,820 1,35,1100
Do NOT submit datasets with direct identifiers. Use pseudonymised animal IDs.