Systems Biology is undergoing a transformation. While systems biology had focused on understanding cellular biology as a network model consisting of different modules, now the approaches and aims also include creating models that predict the outcome of perturbations in systems models without going into the details of explainability. DU-4 aims to study the complexity of biological systems with the goal of making information usable either to the scientific community or to patients.

One of the focuses of the group is to use data-driven approaches to augment medical practices — achieved through analysis of medical images, videos, and medical records. Artificial intelligence-based methods are employed to augment practitioners' ability to retrieve standard medical codes. The unit also aims to create well-curated systems-level databases for medical researchers to access standardised and structured data for analysis.

Towards this, the group is invested in creating and using novel algorithms, methods, and experimental approaches to study, mine, and extract meaningful information from clinically relevant datasets — translating computational insights into actionable outcomes for healthcare.