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During this symposium, the speakers will present in an understandable way the different technical and technological approaches used in their domains of research, such as genomics, metatranscriptomics, metabolomics, proteomics and machine learning. The different challenges as personal data protection, the power of diagnostic as well as economical and societal aspects will also be discussed.

During this symposium scientists from different research areas will discuss the progress they have made on the molecular and genetic understanding of whole-organism physiology.

Artificial Intelligence can be used in drug discovery and will lead the way into a shorter, cheaper and more successful R&D era where compound generation is automated, drug synthesis is predictable and undruggable diseases are finally being targeted.

Join the discussion on AI-enabled platforms, machine learning and deep learning, neural networks and natural language processing and their future applications during the SMi conference.

This practical course is tailored for PhD students and early PostDocs with prior expertise in one (or more) of the “omes”, and who are planning to perform multi-omics studies of microbiota.Through hands-on training, participants will have the opportunity to immediately apply the newly gained knowledge on different topics and techniques.

The aim of this conference is to close the gap in translational immunopathology. Clinicians, research scientists and industry partners are brought together to debate on the progress from bench to bedside.

The focus will be on precision medicine, starting from disease-oriented cases to lessons learned. Innovative and alternative therapeutic strategies in immune-mediated disorders will be presented, besides the regulatory challenges that companies and researchers are dealing with.

During this online lunch talk, participants will take part in a discussion on the impact of Artificial Intelligence in Toxicology with Dr. Philipp Kügler from the University of Hohenheim.

During this symposium, experts from various Belgian Universities will discuss the necessity and the approach to include AI subjects in medical education. The discussed topics include: “Empowering medical students by including AI in the curriculum: Ethical reflections” and “Skills needed to translate big data into precision medicine”.

During this 6-days course, participants will take part in a series of lectures and group exercises focused on applied in vitro toxicology with real life case studies on how to incorporate data from in vitro test methods into regulatory safety evaluation of chemicals. Moreover, they will gain hands-on experience in skin and eye irritation testing in vitro as well as gastro-intestinal testing in vitro.