PumasAI launches four-part webinar series for AI-powered PK analysis
PumasAI is rolling out PumasCP End-to-End, a four-session webinar series starting September 2, 2026, to show clinical pharmacology teams how to move from raw data to regulatory-ready reporting in one reproducible workflow. The launch follows PumasCP 3.9, which adds new visualization tools for publication-quality and regulatory plots.
Why it matters: - Clinical pharmacology teams are under pressure to move faster without sacrificing reproducibility or regulatory readiness. - PumasAI is positioning AI-assisted workflows as a way to reduce handoffs across PK analysis, visualization and reporting. - The series targets scientists who need a practical path from raw concentration data to submission-ready documentation.
What happened: - PumasAI announced PumasCP End-to-End, a four-part educational webinar series for clinical pharmacology professionals. - The series begins September 2, 2026, with follow-up sessions on September 9, September 16 and September 23. - Registration is available through the webinar page.
The details: - Session A covers data import, wrangling, CDISC-aligned ADNCA construction and agent-assisted data preparation. - Session B focuses on noncompartmental analysis, bioequivalence, dose proportionality and superposition analyses. - Session C shows how to create pharmacokinetic figures with built-in templates and custom visualization tools. - Session D walks through assembling tables, figures, listings and report narratives into a reproducible PK clinical study report. - Each session includes a live demonstration and an “Agent Spotlight” segment. - PumasAI says the series is designed for clinical pharmacologists, PK/PD scientists, pharmacometricians, quantitative scientists, regulatory professionals and biostatisticians. - Dr. Vijay Ivaturi, PumasAI co-founder and CEO, said the goal is to help teams eliminate unnecessary handoffs, improve reproducibility and spend more time interpreting science. - Dr. Ivaturi also said bringing data preparation, analysis, visualization and reporting into one environment can improve consistency and accelerate timelines. - The webinar series shows how PumasAI's intelligent agents can assist with workflow steps while scientists keep control of decisions.
Between the lines: - The launch reinforces a broader shift toward unified clinical pharmacology platforms that combine automation with human oversight. - PumasAI is linking the webinar series to the release of PumasCP 3.9, suggesting the events will also serve as product education. - The company is emphasizing reproducibility and regulatory readiness, not just speed, which matters for teams working on submission-bound studies.
What's next: - The first session is scheduled for September 2, 2026. - Additional sessions will follow weekly through September 23, 2026. - PumasAI says each session will include demonstrations of agent capabilities inside PumasCP. - The company also says PumasCP 3.9 adds Advanced Figure support for more publication-quality and regulatory-ready plots. - The platform now supports concentration-over-time visualizations, summary plots, box plots, violin plots, density plots and histograms. - PumasCP 3.9 also adds company-standard themes and styling to keep presentation consistent across analysis and reporting.
The bottom line: - PumasAI is using the webinar series to showcase PumasCP as an end-to-end environment for AI-assisted PK analysis, report generation and regulatory workflows.
Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.
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