Peter R. Christenson

This study develops an optimized Nano-QuIC platform to detect alpha-synuclein oligomers in human plasma with high sensitivity for early Parkinson's disease diagnosis.

AI-QuIC automates RT-QuIC assay analysis for misfolded protein detection, achieving high sensitivity and specificity using deep learning on a large prion dataset.

This study demonstrates that CWD prions can contaminate processing surfaces and be transferred to CWD-negative venison, but can be inactivated using bleach and potassium peroxymonosulfate.

QuICSeedR automates F-SAA data analysis, improving consistency and reproducibility across labs.

This paper introduces Nano-QuIC, a method that improves the detection of misfolded α-synuclein in blood samples from Parkinson's patients compared to traditional RT-QuIC.

The paper develops a field-deployable diagnostic assay, MN-QuIC, for visual detection of misfolded prions in CWD-infected deer, showing 100% consistency with established tests.