Abstract

AI and proteomics are recently believed as facing a revolutionary phase and could fundamentally change our understanding of diseases (brain disorders). Using one of the typical mental disorders and AD as examples, we explored the etiology of the disease with genomic, proteomic and other type of omic data and novel AI algorithms. The discoveries subsequently enabled us to subtype various diseases and then developed different treatment strategies in TMS and drug therapy. Some further developments aiming to integrate micro-, meso- and macroscopic data results are discussed. Furthermore, equipped with the knowledge we had about the brain, we developed a model of the whole human brain at the neuronal level (digital twin brain, DTB ): 86B neurons and 100T synapses (parameters). Examples on applying DTB to medical applications are included.