By AuntMinnie.com staff writers

July 11, 2018 -- Through a combination of PET and MRI, Canadian researchers are developing a way to deliver personalized treatment to patients with neurological diseases and better predict their therapeutic response, according to a study published online June 14 in NeuroImage.

First author Yasser Iturria-Medina, PhD, from the Montreal Neurological Institute and colleagues used computational brain modeling and artificial intelligence (AI) techniques to create a personalized therapeutic intervention fingerprint (pTIF).

Multiple modes of PET and MRI were used to create personalized brain fingerprints
Multiple modes of PET and MRI were used to create personalized brain "fingerprints." Image courtesy of Yasser Iturria-Medina, PhD.

The pTIF predicts the effectiveness of targeting specific biological factors -- such as inflammation, neuronal dysfunctional, and amyloid and tau deposits -- that are associated with dementia and Alzheimer's disease.

With pTIF subtypes, drugs can be designed for a patient's unique gene expression profile and brain characteristics. The approach could also reduce the cost of clinical trials if it were used as a method to select patients.


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