Henry C. Cousins

AutoScreen: AI Co-Scientist System for Target Discovery in Functional Genomics

AutoScreen improves gene prioritization in functional genomics by integrating AI agents for pre-screen design and post-screen analysis, achieving higher hit recovery and precision than existing methods.

CRISPR-GPT for Agentic Automation of Gene Editing Experiments

CRISPR-GPT automates CRISPR-based gene-editing design and analysis by integrating LLMs with domain expertise, demonstrating effectiveness in gene knockout and activation experiments.

Network-based representation learning enables the identification of risk genes and latent functional pathways in primary open-angle glaucoma

The paper uses network-based representation learning to identify risk genes and functional pathways in primary open-angle glaucoma using protein-protein interaction networks and gene embeddings.

CRISPRa screening with real world evidence identifies potassium channels as neuronal entry factors and druggable targets for SARS-CoV-2

The paper uses CRISPRa screening and real-world data to identify KCNA6 as a neuronal entry factor for SARS-CoV-2 and shows dalfampridine can suppress viral entry.