Ayako Yachie‐Kinoshita

This study attempts to reproduce a high-impact publication using a multi-agent system of LLMs, highlighting both capabilities and challenges in automating scientific research.

IQCELL predicts gene perturbation effects on developmental trajectories using scRNA-seq data, showing it can infer over 75% of known causal gene interactions in mouse T-cell development.

The paper develops a deep learning framework to prioritize novel drug targets and repositionable compounds for Alzheimer's disease using protein-protein interaction networks.

The paper develops a computational model using Boolean logic to predict pluripotent stem cell fate transitions in response to signaling inputs.