7 papers
DMT-Dens: Density-preserving manifold visualization for biological data
Ruizhe Wang, Yixuan Dong, Bolin Yang +3
Motivation: Low-dimensional embeddings are widely used to explore cell-state heterogeneity in single-cell and other high-dimensional biological data. Although many methods preserve…
CellPrism: A Visual Analytics System for Exploring AI-Driven Virtual Cells in Drug Discovery
Chuhan Shi, Zijian Guo, Zelin Zang +3
Gene perturbation analysis plays a critical role in drug discovery by enabling researchers to investigate how interventions on specific genes influence global gene expression patte…
CellScientist: From Execution Feedback to Auditable Model-Revision Trajectories for Cellular Perturbation Prediction
Mengran Li, Bo Li, Jiaying Wang +13
Cellular perturbation-response modeling requires coordinated choices of representations, fusion mechanisms, objectives, and training procedures. Large language models (LLMs) can pr…
VeriLLMed: Interactive Visual Debugging of Medical Large Language Models with Knowledge Graphs
Yurui Xiang, Xingyi Mao, Rui Sheng +7
Large language models (LLMs) show promise in medical diagnosis, but real-world deployment remains challenging due to high-stakes clinical decisions and imperfect reasoning reliabil…
A Medical Multimodal Diagnostic Framework Integrating Vision-Language Models and Logic Tree Reasoning
Zelin Zang, Wenyi Gu, Siqi Ma +6
With the rapid growth of large language models (LLMs) and vision-language models (VLMs) in medicine, simply integrating clinical text and medical imaging does not guarantee reliabl…
CellScout: Visual Analytics for Mining Biomarkers in Cell State Discovery
Rui Sheng, Zelin Zang, Jiachen Wang +5
Cell state discovery is crucial for understanding biological systems and enhancing medical outcomes. A key aspect of this process is identifying distinct biomarkers that define spe…
The Dawn of Agentic EDA: A Survey of Autonomous Digital Chip Design
Zelin Zang, Yuhang Song, Aili Wang +6
The semiconductor industry faces a critical "Productivity Gap" where design complexity outpaces human capacity. While the "AI for EDA" revolution (L2) successfully optimized specif…