Machine Learning for Healthcare and Life Sciences
The Machine Learning for Healthcare and Life Sciences group specializes in developing algorithms that learn to recognize complex patterns within rich and massive data. The group explores ways to make intelligent data-driven decisions. The team's focus lies in developing and applying machine learning and data mining tools to an array of different challenging problems from clinical genomic analysis, through designing clinical decision support systems, to analyzing real world evidence for personalized medicine.
- Real World Evidence
- Clinical Genomic Analysis
- Far Reaching Research projects
- Decision support systems