Xiaotong Wang

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.

Surfaceome CRISPR activation screening uncovers ligands regulating tumor sensitivity to NK cell killing

This study uses CRISPR activation screening to identify surface ligands that regulate tumor sensitivity to NK cell killing, revealing new targets for improving NK cell-based immunotherapies.

LabOS: The AI-XR Co-Scientist That Sees and Works With Humans

LabOS is an AI co-scientist that integrates computational reasoning with physical experimentation through multimodal perception and human-AI collaboration, enhancing scientific discovery in biomedical and materials science.

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.

RNAGenesis: A Generalist Foundation Model for Functional RNA Therapeutics

RNAGenesis is a foundation model for RNA therapeutics that integrates sequence, structure, and function prediction, achieving state-of-the-art performance on multiple tasks and enabling functional RNA design.

FoldMark: Safeguarding Protein Structure Generative Models with Distributional and Evolutionary Watermarking

This paper introduces FoldMark, a watermarking method for protein generative models that ensures biosecurity by enabling user tracing and maintaining structural quality.