Living technologies refer to the integration of AI and advanced technologies with living cell systems to improve healthcare and biological research. This includes:

• Utilizing AI to analyze and interpret data from living cells.
• Automating processes such as cell assays and bioprinting.
• Creating complex multicellular 3D structures using bioprinting techniques.
• Applying insights from living cell technologies to develop personalized and regenerative treatments.

These technologies aim to enhance our understanding of biology and to develop more effective and personalized medical treatments.

The Health AI Lab Living Technologies focuses on combining AI and living cell technologies to advance personalized, regenerative, and curative treatments. They work on automation, data analysis, and modeling to create impactful applications in biology and healthcare.

The current goals include creating and utilizing AI-based technologies in microscopy, bioprinting, and automation. The lab uses living cell technologies derived from patients to advance early-stage biomedical research and to enhance personalized, regenerative, and curative treatments. By integrating new AI techniques with these technologies, they aim to significantly impact both basic research and clinical applications.

Yes, the UMC Utrecht has several AI labs that focus on different aspects of AI and data science. The names of these labs are:

• AI Lab for Living Technologies
• AI Lab for Health and Biomedical Sciences
• AI Lab for Personalized Medicine
• AI Lab for Diagnostic Imaging
• AI Lab for Predictive Analytics

These labs collaborate with public and private organizations as well as other knowledge institutions to tackle various societal issues related to AI and healthcare.

The aim of the AI Labs program is to advance the integration of AI into daily healthcare, health research, and education. This involves:

• Establishing a collaborative 'AI in Health' community with Utrecht University (UU).
• Setting up multiple Health AI labs within the Utrecht Life Sciences community.
• Fostering long-term collaborations with national and international partners.
• Attracting and retaining data science and AI talent from both public and private sectors.

This program is designed to push forward AI-driven healthcare innovations and ensure that AI and data science become integral parts of healthcare and research.

AI technologies are used to extract valuable information from cellular images, provide real-time feedback for automating cell assays, and create complex multicellular 3D living structures through bioprinting. The lab’s AI scientists collaborate closely with biomedical researchers to develop and implement advanced AI techniques for data analysis and modeling in biology. They also focus on sharing best practices and offering education on using data and AI in fundamental and preclinical biology.

Directors:

Prof. dr. Jeffrey J.M. Beekman (J.Beekman@umcutrecht.nl)
Prof. dr. Jos J. Malda (J.Malda@umcutrecht.nl)

Coordinators:

Sam van Beuningen (S.vanBeuningen@umcutrecht.nl)
Joost van Duijn (J.H.vanDuijn-6@umcutrecht.nl)