Ivan G. Koychev

The paper uses plasma proteomics to identify differentially abundant proteins and co-expression modules across Alzheimer's disease stages, highlighting potential biomarkers for early detection.

Pleiades, a whole-genome epigenetic model, detects Alzheimer's and Parkinson's disease from plasma cell-free DNA with high accuracy.

This study detects neurodegenerative biomarkers in human cervical lymph nodes, showing higher concentrations than plasma and age-related changes in phospho-Tau-181.

This study shows iPSC-derived astrocytes from AD patients reflect key pathophysiological features, offering a new model for AD research and therapeutic screening.

The paper shows that midlife path integration impairments predict Alzheimer's disease risk, independent of other cognitive tests.

The paper uses induced pluripotent stem cell-derived cortical neurons from early Alzheimer's patients to show that cellular vulnerability to amyloid-beta correlates with clinical vulnerability.

The DPUK Data Portal provides secure access to cohort data for dementia research, supporting multi-modal analyses and collaborations across multiple institutions.

This study evaluates a smartphone-based memory assessment, Gallery Game, in adults at risk of Alzheimer’s Disease, finding non-linear memory decline and correlation with established neuropsychological tests.