We have developed a new generation of statistical learning (Artificial Intelligence) methods to artificially reproduce the effect of Alzheimer’s disease on the brain and cognitive abilities. To build these models, our computer programs analyzed imaging data ( Magnetic Resonance Images and Positron Emission Tomography ) and neuro-psychological assessments from several hundreds of subjects observed at multiple time-points during the disease course.
Not only do these numerical models show you the typical effects of the disease on the brain, but also, for the first time, how the disease manifests itself differently in different individuals.
These numerical models allow us to better understand the disease, identify the factors that can influence its development, and why not, tomorrow, be able to anticipate the onset of symptoms or even prevent the onset of the disease.