Daniel Baeschlin

Executive Director High Throughput Biology Novartis Institutes for Biomedical Research

Agenda Day 2

2:40 PM Case Study -From Human to Robots - Lab based Data Generation & Capture

Non-standardised data generation and capture workflows often hinder efforts to apply machine learning in small molecule optimization. In this case study, Daniel Baeschlin shares how Novartis is systematically addressing these challenges to enable more consistent, machine-readable lab data.

Attendees will gain insights into:

How Novartis is improving data standardisation to unlock AI and machine learning potential in drug discovery.
Key organisational and technical hurdles in transforming lab-based data generation.
Lessons learned from piloting an autonomous mobile robot (AMR) for research lab operations.
Practical steps to advance towards automation and smarter data capture in scientific environments.

Check out the incredible speaker line-up to see who will be joining Daniel.

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