DeepBrain-Cognito

We utilized MRI data from healthy subjects sourced from large international databases to establish the healthy aging trajectory for cortical atrophy. This model can automatically generate brain age prediction reports.

The personalized 4D brain degeneration map prediction module for healthy aging and dementia combines the multiple data types including omics (i.e., genomics) and imaging biomarkers, using innovative multi-model deep learning technology to establish a precise and reliable disease risk assessment model. This model can predict future clinical dementia rating (CDR) scores and determine the future risk of dementia as well as the potential dementia subtypes. This automated system can provide guidelines for early treatment strategies, to reducing the cost of social and medical care for dementia.

This module can convert original MRI scans into volume-based morphometry maps, facilitating the straightforward quantification of cortical atrophy and ventricle enlargement. It utilizes data from the normal population to establish normative data distribution for brain cortical atrophy across different ages.