This research area applies machine learning and computational intelligence to large-scale biological datasets generated through imaging and proteomic studies. Researchers train models to identify hidden molecular correlations linked to disease progression, cellular instability, and treatment response.

The initiative emphasizes explainable AI systems that can support clinical interpretation and translational medical research.