Announcing the Artificial Intelligence, Causality, and Personalised Medicine Symposium

The Leibniz AI Lab is happy to invite you to the symposium “Artificial Intelligence, Causality and Personalised Medicine Symposium” on September 14-15, 2023 at the Leibnizhaus in Hanover.

The focus of this 2-day symposium will be to bring together researchers and medical practitioners to discuss and share advances in the applications of artificial intelligence and machine learning to medical practice and research. This symposium will provide a catalyst for interdisciplinary collaboration and dialog with the aim of knowledge sharing, research presentation, and agenda setting.

Benefiting from a huge amount of data with multiple modalities in the big data era, the rapid evolution of artificial intelligence (AI) is contributing to advances in medical applications. Such applications include genetic data are analysed for predicting risks of cancer or treatment outcome in oncology; clinical data from electronic health records are useful for predicting specific diseases, such as sepsis in intensive care units; and bio-signals can be processed by AI for many applications, such as electrocardiography. In particular, personalised medicine will benefit from intelligent, reliable, and responsible AI systems, therefore improving care and the quality of life.

Current machine learning systems often lack understanding of the relationship between causes and effects in their domain. Causal reasoning is, therefore, being recognized as a missing piece in AI methods. Integrating causality into machine learning methods will be integral for designing next generation intelligent systems. The causality framework allows researchers to represent medical background knowledge in an explainable manner. Thus, causal AI promises to improve further personalised medical applications with trustworthy and fair decision-making.


To participate in this symposium, we kindly request your registration. The registration fee for this event is 119 Euros, including VAT. Your registration fee will provide you with full access to all sessions, conference materials, networking opportunities, and refreshments throughout the event.

Please register by August 15.

Speakers include Jonas Peters from ETH Zürich, Amit Sharma from Microsoft Research India, Sabine Salloch from the Hannover Medical School and Niels Peek from University of Manchester.