Researchers Jacob Vogel and Lijun An, together with colleagues from the Swedish BioFINDER study and the Global Neurodegenerative Proteomics Consortium (GNPC, an international research consortium that has created the world's largest proteomics database for neurodegenerative diseases) have developed the AI model based on protein measurements from more than 17,000 patients and control participants, collected from several datasets within GNPC's proteomics database, the largest in the world for proteins related to neurodegenerative diseases.
Using advanced statistical learning methods and a process known as "joint learning," the researchers' AI model was able to identify a specific set of proteins that form a general pattern for diseases involving brain degeneration.
This learned pattern was then used to diagnose different neurodegenerative diseases.
Vogel confirms that their AI model outperforms previous models, while also being able to diagnose five different dementia-related conditions: Alzheimer's disease, Parkinson's disease, ALS, frontotemporal dementia, and previous stroke.
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