Digital Biology

In this area, we leverage deep learning, artificial intelligence (AI), and multi-omics data analysis to decode complex biological systems. By integrating computational tools with experimental methods, we examine gene regulation networks, chromatin dynamics, and cellular behaviors. Techniques such as RNA sequencing (RNA-Seq) and CRISPR screening enable us to map intricate genetic and epigenetic landscapes, which we further analyze using AI-driven imaging and data algorithms. This fusion of computational biology with traditional experimental approaches fosters innovation in medical imaging and molecular medicine, paving the way for more precise and targeted treatments for complex diseases.