Lukas Zanders

The paper introduces a temporal AI model, MaxToki, trained on extensive gene data to predict cell state changes across human aging and identifies age-modulating targets.

This paper uses single-nucleus RNA sequencing to analyze HFpEF myocardium, identifying transcriptional changes in cardiomyocytes, endothelial cells, fibroblasts, and macrophages that suggest metabolic, inflammatory, and fibrotic mechanisms.

This study identifies differentially explained genes in heart failure subtypes using neural networks and XAI tools to improve understanding of molecular mechanisms.

This study identifies vascular niches as key hotspots for age-related inflammation and fibrosis in cardiac tissue using single-nucleus RNA sequencing and spatial transcriptomics.