Whole-brain digital twins represent a transformative frontier in neuroscience, computational biology, and precision medicine, providing an unprecedented framework to simulate human cognition at cellular resolution. By integrating multi-scale data from genomics, proteomics, connectomics, electrophysiology, neuroimaging, and behavioral phenotyping, these comprehensive virtual models offer the ability to map, predict, and manipulate brain function in silico. These platforms go beyond traditional computational models by capturing interactions at molecular, cellular, and circuit levels. They allow researchers to study how neurons, glial cells, and synapses work together to generate cognition, memory, learning, and adaptive behavior. By integrating neuroimaging, electrophysiology, molecular profiles, and behavioral data, the models simulate both normal and pathological brain states, providing insights into neuroplasticity, network adaptations, and cognitive resilience. They enable pr...