2026 CDISC Technicon

Date

9 September 2026

Format

Virtual · Microsoft Teams

Audience

Pharma, Sponsors & Technology Leaders

Powering Standards-Based Technology Across Clinical Research

CDISC TechniCon 2026 is a virtual conference that gives a global stage to software solutions built on CDISC Standards — a half-day of live demonstrations and dialogue grounded in the practical application of open, standards-based technology.

As organizations move from document-based workflows to machine-readable, API-enabled data flows, technology platforms have become central to successful CDISC adoption. At the same time, clinical research teams face an increasingly complex and crowded technology landscape.

TechniCon brings clarity — letting organizations evaluate and compare how CDISC Standards are implemented in real-world systems, and make faster, more accurate, more confident technology decisions.

Who Should Attend

Companies preparing for a digital, automated future.
At TechniCon you'll:

• See CDISC Standards running in real systems

• Compare solutions side by side before you commit

• Understand what adoption asks of your teams

• Identify which platforms are future-ready

WHO SHOULD DEMO

Demonstrate your CDISC-based platform to our community.

• 25-minute live demo with Q and A

• Event promotion to 50,000+ industry professionals

• Engagement with 800+ attendees

• Attendee list and opt-in email list

Featured topics

Study Design Data Collection Data Tabulations Analysis & Reporting Conformance Traceability Metadata Management Automation / Data Pipelines TMF RWD / RWE

Sponsors

Event program

2026 CDISC TechniCon

A Day in the Life of a Clinical Trial — Design it, Move it, Trust it, Analyze it, Govern it.

1 · Study design — Design it

1:15–1:40pm UTC · 9:15–9:40am EDT

AI Without Structure Is Just Noise: From Document-First to USDM-Native AI in Clinical Study Design

CompanyNurocor

Presenter(s)TBC

Makes the case that AI does a better job with structured study designs than with prose buried in documents. Walks through Nurocor's USDM-native approach to building a study, with a live look at how that feeds an ICH M11 protocol.

USDM, ODM, Biomedical Concepts, Controlled Terminology, CDISC Open Rules

1:45–2:10pm UTC · 9:45–10:10am EDT

Accelerating Clinical Research with the Zelta Unified Clinical Trials Platform

CompanyZelta

Presenter(s)Mark Laney

One cloud platform that covers the whole trial, from study design through database lock and reporting, so teams aren't juggling separate systems. Newer AI features help with protocol interpretation, design, validation, and data review, with audit and governance controls in place.

CDASH, ODM, Dataset-JSON

2 · Automation and pipelines — Collect it, Move it

2:15–2:40pm UTC · 10:15–10:40am EDT

Automation/AI Pipeline: From Protocol to CSR

CompanyClymb Clinical

Presenter(s)Bhavin Busa, Malan Bosman

Treats CDISC standards (USDM, SDTM, ADaM, AC/DC, ARS/ARD) as a connected backbone for an AI-assisted workflow spanning USDM protocol, SAP generation, EDC-to-SDTM and SDTM-to-ADaM mapping, TFL shells, and ARS-driven programming, all the way to a drafted CSR. Built on Clymb's Clymbr Hub platform, the pitch is one standards-driven pipeline replacing today's siloed deliverables, cutting redundant work and tightening traceability from protocol intent to final report.

ADaM, ARS/ARD, Analysis Concepts & Derivation Concepts, Biomedical Concepts, Controlled Terminology, USDM

2:45–3:10pm UTC · 10:45–11:10am EDT

Accelerating Data Cleaning and Review with AI

CompanyOctozi

Presenter(s)Amit Patel

Puts AI agents to work on data cleaning and medical review. The system pulls data from across clinical systems, checks it against protocol and cross-source rules, and hands reviewers a prioritized list of findings with the evidence attached. Reports a benchmark of 6x faster review and errors falling from 54.7% to 8.5%.

Controlled Terminology, CDISC Open Rules

3 · Traceability — Trust it

3:15–3:40pm UTC · 11:15–11:40am EDT

Machine-Readable Traceability: A Governance Layer for Validating CDISC Compliance from Protocol to ADaM

CompanyCeresity Technologies

Presenter(s)Zahaan Ghadiali

A governance layer that checks whether traceability really holds up from protocol through CRF, SDTM, and ADaM. It tests those links against USDM, CDASH, SDTM, and ADaM standards and surfaces gaps early, instead of waiting for an audit or submission to expose them.

ADaM

4 · Analysis and reporting — Analyze it

3:45–4:10pm UTC · 11:45am–12:10pm EDT

Hours, Not Weeks: AI-Powered Synopsis-to-CSR Orchestration with Humans in the Driver's Seat

CompanyPhaseV

Presenter(s)Jessica Petrochuk

PhaseV's AI Conductor connects the full synopsis-to-CSR process (protocol, SAP, SDTM/ADaM, TLFs), with people reviewing at each step. The aim is to turn weeks of manual handoffs into hours while keeping traceability and auditability intact.

USDM, ODM, ADaM, Define-XML, Biomedical Concepts, Controlled Terminology, Analysis and Derivation Concepts, CDISC Open Rules

4:15–4:40pm UTC · 12:15–12:40pm EDT

Sara AI: An Agentic AI for CRAs by Bloqcube

CompanyBloqcube

Presenter(s)Rama K Rao

Demos two of Bloqcube's CDISC-native agents: Sara Lipi, which drafts a first-pass CSR from database lock using the full CDISC artefact chain, and Sara Cx, which helps CRAs during monitoring visits. Both run on a platform that anchors records cryptographically as they're captured.

SDTM, ADaM, Dataset-JSON

5 · Trial master file — Govern it

4:45–5:10pm UTC · 12:45–1:10pm EDT

PhlexQR: AI Cross Checking for Enhanced TMF Management

CompanyPhlexglobal

Presenter(s)Jake McDonald, Karen Roy

PhlexQR brings AI to TMF quality review. It reads the documents already in the file, cross-references them across sites, and flags what's missing or doesn't line up, cutting the manual effort of keeping a TMF inspection-ready.

TMF

6 · Automation / data pipelines

5:15–5:40pm UTC · 1:15–1:40pm EDT

From Startup to Submission: Automating the Full Clinical Data Lifecycle

CompanynPhase.ai

Presenter(s)Ryan J. Warth, MD

nPhase.ai's SCE pitches a single, governed data fabric that connects capture, harmonization, analytics, and submission in real time, instead of stitching together separate point solutions. Applying CDISC standards upfront automates the path from raw study data through SDTM, ADaM, and TLFs to submission, drawing on lessons from an enterprise data transformation at a top-five pharma.

SDTM, ADaM, ARS / ARD, CDASH, Define-XML, Controlled Terminology

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For Technology Vendors

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For Attendees

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Join clinical research and technology professionals for a half-day of curated demonstrations and live Q and A. Free for members; open to the global community.