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Statistics · Clinical Data

PKnalytics

A platform that operationalizes PK/NCA and bioequivalence analyses from raw study exports to decision-ready outputs.

Context

Pharma and bioequivalence studies

Date

September 2025

Role

Sole developer

Stack

Python Dash Plotly Docker

Context

PK analysis workflows are often fragmented across spreadsheets, scripts and reporting documents, which makes reproducibility harder and slows quality review.

Approach

PKnalytics was built to serve two audiences simultaneously: the statistician who needs full methodological control, and the clinical researcher who needs to explore results without writing code. The platform centralizes the most commonly used methods in efficacy trials into a single, configurable interface.

  • Modular PK computation blocks (AUC, Cmax, Tmax, half-life)
  • Configurable interpolation and extrapolation by protocol
  • Integrated bioequivalence outputs with GMR and 90% CI

Solution

PKnalytics centralizes ingestion, estimation, diagnostics and export in one auditable workflow so teams can focus on interpretation instead of repetitive technical handling.

Key outcome

PK/NCA and bioequivalence analyses become repeatable, faster to deliver, and easier to audit.

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