Nikolaos Kalavros

The paper identifies a CHRM1-IL-17 neuroimmune axis that promotes diabetic wound healing through cholinergic modulation and local AChE inhibition.

This study identifies tumor-myeloid crosstalk as a driver of cisplatin resistance in bladder cancer and proposes PARP14 inhibition as a therapeutic strategy.

The paper presents a benchmarking challenge to predict Alzheimer's disease neuropathology from single-nucleus transcriptomics using human and AI models, finding that top methods achieve near-perfect categorical staging predictions.

This study uses spatial transcriptomics to identify epithelial cell-driven mechanisms in Sjogrens disease, revealing new insights into autoimmune pathology and potential therapeutic targets.

This study evaluates large language models' ability to generate predictive modeling code for reproductive health using standardized datasets, finding R code generation more successful than Python and some models matching top DREAM challenge teams.

The paper performs spatial transcriptomics on the human prefrontal cortex across the lifespan to identify aging-related changes in different cortical layers.

The paper characterizes immune microenvironment dysregulation in multiple myeloma using single-cell data and links it to disease progression and patient outcomes.

This study creates a single-nucleus and spatial transcriptomic atlas of the COVID-19 liver, revealing cellular and functional disruptions associated with organ damage.

This study identifies molecular and cellular signatures of cognitive resilience in Alzheimer's disease by integrating multi-omics data from brain tissues.

This study introduces a method to generate high-quality single-nucleus transcriptomic data from FFPE samples using recent single-cell genomic technology.