Tamara Raschka

This paper develops an AI model to simulate CD33 down-expression effects on cognitive impairment in Alzheimer's Disease, validated with cell line data.

This work analyzes transcriptomic data across multiple biological contexts to identify unique and shared gene expression patterns using co-expression networks and pathway analysis.

This paper investigates transcriptomic signatures across diseases by integrating co-expression networks and pathway knowledge to identify disease mechanisms.

The paper presents a drug-target-mechanism graph to identify synergistic drug combinations for SARS-CoV-2 treatment, validated through experimental testing.

The paper constructs a cause-and-effect knowledge graph of COVID-19 pathophysiology from scientific literature and provides it as a public resource.