Self-Driving HTE Labs for Synthetic Molecule Process Development

DATE

June 25, 2025

TIME

8:00 a.m. PDT, 11:00 a.m. EDT, 16:00 BST, 17:00 CEST

Overview

Takeda SMPD has significantly built up its high-throughput (HTE) and automation capabilities over the last few years around the Unchained Labs family of tools and devices that integrate well into a complete solution. Our ultimate vision is to design and implement self-driving labs (SDLs) to carry out self-optimizing workflows. Process development and optimization frequently involves exploring wide parameter spaces, making these iterative algorithm-guided SDLs ideal for such optimizations, especially if coupled with automated HTE synthesis platforms.

As such, we herein present our vision for fully self-optimizing HTE workflows, with the ultimate goal of creating SDLs with workflows optimized for a variety of general applications needed in synthetic molecule drug development. To illustrate this process, case studies will be presented, highlighting both their successes, as well as the limitations of our current hardware and software tools.

Key Learning Objectives:

Creating a successful Self-Driving Lab
Impacts on research through case studies
Future directions for improvement

Who Should Attend:

Laboratory managers/directors
Synthetic chemists
Self-driving lab enthusiasts

Brought to you by:

Speakers

Adrian Ramirez Galilea, PhD
Associate Director, Automation & HTE,
Takeda

Andrew Kukor, PhD
Automation Scientist,
Takeda

Dimitrios Chatzinikolis
Robotics Engineer III,
Takeda

Rick Sidler, PhD
Director, Field Automation Scientists,
Takeda

Kelly McSweeney
Contributing Editor,
C&EN Media Group

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