Artificial intelligence is playing an increasingly prominent role in laboratories. Where analysts used to have to manually interpret large amounts of data, algorithms can now recognize patterns barely visible to the human eye. From image analysis and data processing to optimizing measurement processes: AI helps laboratories work faster, more consistently, and smarter. This gradually shifts the role of the laboratory worker from operational to directing and monitoring.

AI proves its value, particularly when analyzing complex datasets. In healthcare, for example, artificial intelligence supports diagnosis and treatment options, such as in oncology. By combining large amounts of patient data, measurements, and images, insights emerge that would otherwise be difficult to obtain. This not only accelerates the research process but can also have a direct impact on patient care and treatment pathways.

At the same time, the use of AI raises important questions. How reliable is the data used to train algorithms? Where is the line between human expertise and automated decision-making? Hybrid intelligence, in which humans and technology collaborate, is increasingly being discussed.

At the World of Laboratory, the impact of AI on daily lab work takes center stage. Through seminars and demonstrations on the exhibition floor, visitors will discover how artificial intelligence is already being applied in laboratories today and which developments will be decisive in the coming years.