Michael S. Shtutman

The paper introduces SPaCe-MC, a statistical method to detect localized diffusion changes near stress granules, revealing consistent local constraints despite varied global cytoplasmic responses.

This study investigates the role of NLRP3 inflammasome and microglial pyroptosis in EcoHIV-infected mice, showing increased NLRP3 and GSDMD expression and reduced markers with MCC950 treatment.

The paper introduces a method to explain biomedical hypotheses using graph-based context retrieval and LLMs, with feedback loops to refine explanations.

This paper introduces AGATHA, an AI tool for drug repurposing in dementia by analyzing biomedical literature and identifying gene-disease associations using statistical methods.

This paper optimizes genetically encoded nanoparticle expression to improve single-particle tracking of cytoplasmic diffusion in mammalian cells, showing increased diffusivity and better tracking quality.

This paper shows that 4-octyl-itaconate reduces HIV and cocaine-induced neurotoxicity and inflammation by modulating microglial activity and anti-inflammatory pathways.

The paper introduces two hypothesis generation systems for COVID-19 research using graph mining and transformer models, achieving high-quality predictions and discovering new research findings.

This study identifies DDX3 inhibition as a potential therapy for HAND by blocking Tat and cocaine-induced microglial activation and neurotoxicity in rat and mouse models.