Machine Learning-Assisted Sensor Array Based on Poly(amidoamine) (PAMAM) Dendrimers for Diagnosing Alzheimer?sDisease

Alzheimer's disease (AD) is the most prevalentneurodegenerative disorder, and the early diagnosis of AD remainschallenging. Here we have developed afluorescent sensor arraycomposed of three modified polyamidoamine dendrimers. Proteins ofvarious properties were differentiated via this array with 100%accuracy, proving the rationality of the array's design. The mechanismof thefluorescence response was discussed. Furthermore, the robustthree-element array enables parallel detection of multiple A beta 40/A beta 42aggregates (0.5 mu M) in diverse interferents, serum media, andcerebrospinalfluid (CSF) with high accuracy, through machinelearning algorithms, demonstrating the tremendous potential of thesensor array in Alzheimer's disease diagnosis.

Automated summary

A fluorescent sensor array has been developed to accurately differentiate proteins with different properties and detect Alzheimer's disease-related aggregates with high accuracy.