IG20140 - Predictive AI imaging for stem cell and organoids (STEMPREDICT)

Human Pluripotent Stem Cells (hPSCs), organoids, and advanced bioimaging are transforming human
in vitro model systems in biomedical research. These technologies are anticipated to form the cornerstone of
effective and safe preclinical trials and future cellular therapies. However, their full potential remains
constrained by technical limitations.

STEMPREDICT is a groundbreaking initiative addressing a critical challenge in biomedical research: efficiently
and non-invasively assessing the phenotype, health, and quality of pluripotent stem cells, differentiated
cells, and organoid systems. These cell-based models are essential for advancing therapies and deepening our
understanding of diseases. However, traditional monitoring techniques are often slow, labour-intensive, and
unsuitable for large-scale experimental setups.

By integrating imaging technologies with artificial intelligence (AI), STEMPREDICT aims to develop tools
capable of real-time cell analysis. These tools will extract valuable phenotypic information by analysing label
free imaging data eliminating the need for destructive testing methods and enhancing the potential to further
automate cell production.

This innovative approach will enhance the optimization of stem cell production and improve predictions about
their suitability as disease or therapeutic models, delivering unprecedented efficiency.
By benefiting from high-level experts and data from EU Core Facilities, the platform developed within
STEMPREDICT ensures wide adoption, fast implementation, and broad accessibility across Europe and beyond.
It strengthens European research infrastructures and establishes global standards for quality control in
stem cell-based research.