Machine learning is a powerful tool to analyze large, high-dimensional biomedical data sets (e.g. genetic, proteomic, or transcriptomic data). The objective is to find patterns in the deep sea of data that are significantly related to the development or progression of diseases or play a role in individual drug responses. Ultimately, machine learning algorithms are developed to provide physicians and other health professionals with clinical decision support.

At ESHG Symposium 2016 we bring together experts from this highly interdisciplinary field: human geneticists, bioinformaticians and machine learners will discuss recent research results and benefit from each others expertise.