VIDEO SESSION

Case Study: An introduction to
Agentic AI in Clinical Data Management

Your data managers already carry most of the review load. Agentic AI can take much of it on, but only if you can trust, trace and reproduce what it produces. Alex Liu of Taiho Oncology and Erik Scalfaro of Rivia walk through where AI fits in a regulated trial and show it working on live study data.

Live Case Study

Rivia x Taiho Oncology

What you'll learn

Where AI fits in clinical data management and how the data manager role changes

The three levels of AI adoption, from standalone assistants to agents you oversee from on top of the loop. Alex explains why data managers are moving from producing review to approving it, as proactive stewards.

What it takes to adopt AI safely and stay compliant in a GxP setting

The three pillars that decide adoption: governance and trust, process and priority, skills and readiness. Plus what ALCOA++ requires of AI output, and why results stay reproducible when models aren't deterministic.

A live demo on trial data, from a single finding to a standing rule

You'll see a CTCAE grading inconsistency between neutropenia AEs and lab values, found by asking in natural language. Then it becomes a standing rule that flags every future case, with a clear path to resolution.

Watch the full session

With Alex Liu of Taiho Oncology and Erik Scalfaro of Rivia, including the live demo. Fill in the form for instant access.

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Portrait of Blanky Tu

Rivia streamlines our decision-making process by providing visualizations that can be easily understood by key stakeholders like the board. This aids in rapid response and adjustments in our strategic approach.

Blanky Tu

Head of Clinical Operations Oncology, Alentis Therapeutics

Portrait of Jos G.A. Houbiers

I think every medic in the clinical trial, and also clinical leads in trials, should use this kind of software to have a better overview of their data.

Jos G.A. Houbiers

Chief Medical Officer, Calypso Biotech

Portrait of Chris Farina

Without Rivia, we would be very dependent on our CRO and biostatisticians for almost every little detail of what we're analyzing, and we'd be spending a lot of time merging Excel spreadsheets.

Chris Farina

CEO, Abcentra Therapeutics