IVIVC Level A

Upload an in vitro dissolution profile and the matching in vivo PK for two or more oral formulations. The engine deconvolutes %absorbed via Wagner-Nelson, correlates it against %dissolved, and predicts a held-out formulation's Cmax/AUC from its dissolution alone β€” the classical %PE check (FDA 1997 Guidance V.B, threshold only, not an automatic pass/fail).

Scope β€” read before uploading. This is a research/exploratory Level A correlation, not a validated regulatory submission.
  • Oral formulations only, no IV arm. This form does not accept an IV dataset. If your study has an IV arm, this report does not apply to it β€” contact us instead of forcing this route.
  • ke is estimated per formulation from its own terminal phase (log-linear regression), same method this platform uses for NCA Ξ»z.
  • With few formulations, the correlation and its internal predictability check are far below the sample a real Level A submission needs β€” the report states N explicitly, it never hides it.
  • If a formulation's dissolution doesn't fit any classified model above RΒ²=0.90, the report marks that correlation NOT CONCLUSIVE instead of forcing a number.
  • The report also includes a fractional (Mittag-Leffler) variant, side by side β€” research-only, NOT FDA-recognized, with a known quadrature-singularity limitation on sparse time grids, printed next to its own numbers.

1 Β· Upload dissolution + PK data

πŸ§ͺ
Dissolution CSV
formulation, time_h, fdiss_pct
⬇ Example dissolution CSV (etoricoxib, REF/BE/NBE)
πŸ’‰
In vivo PK CSV
formulation, time_h, conc_ng_ml
⬇ Example PK CSV (etoricoxib, REF/BE/NBE)
β–Ά Accepted CSV format Β· click to expand

Dissolution CSV β€” exact column names required: formulation, time_h, fdiss_pct (cumulative % dissolved, 0-100).

formulation,time_h,fdiss_pct
REF,0,0
REF,0.5,22.4
REF,1,41.0
REF,2,68.5

PK CSV β€” exact column names required: formulation, time_h, conc_ng_ml (plasma concentration, ng/mL).

formulation,time_h,conc_ng_ml
REF,0,0
REF,0.25,238.8
REF,0.5,1033.9
REF,1,1850.2

The formulation labels must match between both files. At least 2 formulations are needed to fit the correlation, plus 1 more held out to test it (3 minimum, in total).

Do NOT submit datasets with direct patient identifiers. Use pseudonymised/formulation-level data only.

2 Β· Choose fit vs. held-out formulations

Formulations found in BOTH files. Pick 2+ to fit the correlation, and exactly 1 different one to hold out and predict.

Starting…
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This report contains computational results. Pharmacological interpretation and clinical decisions are the responsibility of the client's expert team. FractaLPK does not provide medical, pharmacological, or regulatory advice.