AI 4 Labs 4.0

April 10 / 10:00 am – 11:00 am & 15:00-16:00 pm

Am Messesee 2, 81829 München, Duitsland


Join us for an exceptional workshop, “AI 4 Labs 4.0” presented by OnQ Software and COMPUTD, at the upcoming Analytica in Munich.

This interactive session is designed to showcase the groundbreaking integration of Artificial Intelligence (AI) in the laboratory and scientific fields, promising to enhance efficiency and foster innovation.


This session is more than a gathering; it’s an opportunity to dive deep into how AI can transform laboratories from conventional to cutting-edge. Attendees will gain valuable insights into:

  • AI Techniques: Demonstrations on the latest AI techniques and their application within laboratory settings.
  • Efficiency and Innovation: Explore how AI fosters a more efficient and innovative laboratory environment.
  • Interactive Sessions: Engage in discussions and interactive sessions, enhancing your understanding of AI’s role in the future of science and research.

Why Attend?

Whether you’re just starting to explore the world of AI or you’re an experienced professional, this workshop has something for everyone:

  • New to AI? Get a comprehensive introduction to the potential of AI in transforming laboratory operations and scientific research.
  • Experienced in the Field? Delve into advanced discussions on AI’s application, and network with industry leaders and innovators.
  • Networking Opportunities: Meet like-minded professionals and experts, share ideas, and build connections within the industry.

Key AI Trends for Lab Professionals by ONQ

The future of laboratories is closely connected to AI advancements.

Our partner ONQ Software highlights important trends for lab professionals:

  1. Automation and Robotics: Using AI-driven robotics to automate lab processes improves efficiency and reproducibility.
  2. Machine Learning for Data Analysis: Applying machine learning algorithms to analyze laboratory data helps identify patterns, predict outcomes, and classify data in different scientific fields.
  3. Image Analysis and Computer Vision: AI-enhanced image analysis and computer vision are transforming pathology, histology, and microscopy, aiding in disease diagnosis and cellular structure analysis with high accuracy and speed.
  4. Natural Language Processing (NLP) in Research: NLP is changing scientific literature analysis, extracting insights from vast data, assisting in literature reviews, information extraction, and knowledge discovery.
  5. Medicine Discovery and Development: AI streamlines drug discovery, from virtual screening to lead optimization and repurposing, by analyzing chemical compound datasets and optimizing drug candidates for faster development.
  6. Precision Medicine: AI helps tailor treatments by analyzing genomic data and patient-specific information, with lab professionals playing a key role in genomic and molecular profiling for personalized treatment strategies.
  7. Quality Control and Assurance: Implementing AI-driven systems for quality control ensures accurate and reliable lab results, with real-time feedback to optimize conditions.
  8. Data Security and Privacy: The increased use of AI in labs emphasizes the importance of data security and privacy. Professionals should stay informed on cybersecurity practices and regulations to protect sensitive information.

Registration Details

Due to the exclusive nature of this event, pre-registration is compulsory. Secure your spot today to not miss out on this opportunity to be part of the future of laboratories and science. For registration, please click here or contact us at