Skip to content
#software testing Open access

NCA Assistant: An Open-source R/Shiny Interface for Non-compartmental Pharmacokinetic Analysis, Bioequivalence Testing and Study Planning

Sep 2026 · The AAPS Journal · 6 references
Statistical Methods in Clinical Trials

Abstract

Abstract Accessible tools for pharmacokinetic education and routine clinical pharmacokinetic analysis remain limited. Commercial software carries licensing costs and on the other hand existing open-source alternatives lack integrated workflows spanning study planning through bioequivalence assessment and are not user-friendly. We developed NCA Assistant, a browser-based application for non-compartmental pharmacokinetic analysis, bioequivalence testing, and power and sample size calculations within a single platform designed for pharmacokinetic research and teaching. NCA Assistant was designed with Anthropic Claude AI as coding assistant, with multi-expert prompting. The app was developed in R/Shiny with a hub-based architecture connecting six workflow modules. Core computations rely on established R packages for non-compartmental analysis, power and sample size calculations and analysis of variance. For the interface, there was an emphasis for transparency through interactive visualization, configurable analysis settings and exportable audit trails. The application supports extravascular and intravenous dosing scenarios, handles both single-subject and batch analyses and accommodates standard crossover, replicate, and parallel bioequivalence designs.A dedicated visualization module generates publication-ready concentration–time plots. Features include interactive terminal half-life review with point selection override and configurable thresholds for elimination half-life calculation. A validation package, consisting of draft validation documents and a validation script, accompanies the application and is supplied in the supplemental materials. NCA Assistant provides an accessible entry point for pharmacokinetic data analysis suitable for graduate training and routine clinical pharmacology applications, with extensibility for use in more regulated environments.

View source

Similar papers

#computer vision Review Sep 2017

Agile Software Development Methods: Review and Analysis

This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.

P. Abrahamsson, O. Salo, Jussi Ronkainen et al. · 727 citations · ⚡54
#computer vision Jun 2008

The impact of agile practices on communication in software development

The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.

M. Pikkarainen, Jukka Haikara, O. Salo et al. · 401 citations · ⚡48
#machine learning Review Open access Oct 2014

Software development in startup companies: A systematic mapping study

The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.

Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al. · 394 citations · ⚡54
#computer vision Review Mar 2008

Agile methods in European embedded software development organisations: a survey on the actual use and usefulness of Extreme Programming and Scrum

The results show that the embedded industry has been able to apply agile methods in its development processes and that the appreciation of the agile methods and their individual practices appears to increase once adopted and applied in practice.

O. Salo, P. Abrahamsson · 238 citations · ⚡9
#computer vision Open access Jul 2017

What happens when software developers are (un)happy

Consequences of happiness and unhappiness that are beneficial and detrimental for developers' mental well-being, the software development process, and the produced artifacts are found.

D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al. · 236 citations · ⚡13
#computer vision Open access Oct 2004

Mobile-D: an agile approach for mobile application development

The Mobile-D approach is briefly outlined here and the experiences gained from four case studies are discussed, which helped develop an agile development approach for mobile application development.

P. Abrahamsson, Antti Hanhineva, H. Hulkko et al. · 225 citations · ⚡18

Related blog posts

MIT News · Artificial Intelligence Oct 2, 2026

Documenting the tech worker movement

Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.

GPT-Lab Sep 23, 2026

Requirements Don’t Live in Isolation: What We’re Exploring with Req-Space

Requirements in large systems rarely exist in isolation. Their meaning depends on the wider project context - other requirements, policies, decisions, tests, and implementation details. That becomes especially important when AI is used for review, because spotting a possible conflict or gap is only the beginning. ReqSpace explores how AI, visualisation, and connected project context can help reviewers understand those findings, trace the relationships behind them, and focus on the questions that…

GPT-Lab Sep 17, 2026

Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering

AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.