Exciting advancements in machine learning are paving the way for multimodal data integration in biology. Researchers are now able to link DNA-level events to broader health outcomes, enhancing our understanding of disease risk. By combining insights from genomics, electrophysiology, and imaging, the goal is to create comprehensive models that reveal how changes at the cellular level influence overall health.
