Jonathan D. Cherry

This study identifies proteomic changes in CTE brains, linking proteasome and ribosome dysfunction to disease progression and clinical features.

FourierMIL uses Fourier filtering and multiple instance learning to analyze whole-slide images, outperforming existing methods in tumor classification.

The paper identifies somatic genomic alterations in neurons from CTE patients, finding patterns similar to Alzheimer's disease and suggesting mechanisms beyond repetitive head impacts.

This paper introduces an age-informed attention-based MIL model to predict AT8 density in neuropathological images, improving diagnostic accuracy and interpretability.

AutoMorFi automates whole-image morphometric analysis, generating over 47 measurements per cell quickly and enabling new discoveries across diverse biological samples.

This study shows that repetitive head impacts in young athletes cause neuronal loss and neuroinflammation before CTE pathology, with specific cellular changes linked to disease progression.

The paper identifies three H1 sub-haplotypes at the 17q21.31 locus associated with Parkinson's disease risk and links them to LRRC37A/2 expression in astrocytes.

The paper compares gene expression changes in early and late stages of chronic traumatic encephalopathy (CTE) and identifies factors influencing disease expression.

The paper identifies dysregulated coordination of MAPT exon 2 and exon 10 splicing in Alzheimer's and progressive supranuclear palsy, leading to distinct tau isoform accumulation.

This study identifies JADE1 as a novel genetic factor in tauopathy through genome-wide association and functional validation in human and Drosophila models.