4 citations · 4 across the 4 of their papers we have counts for
6 papers
From Surfaces to Volumes: Registered Geometry for Protein Representation Learning
Siyuan Chen, Cai Zhou, Jinrui Zhang +8
Existing protein geometry models typically represent molecular surfaces using local geometric features such as sampled points, normals, and curvature. While effective for capturing…
MERID: Multimodal Exploration via Recursive Self-Improvement Agents for Major Depression Analysis
Lei Liu, Zhaokang Liang, Qingcheng Zeng +4
Major depressive disorder (MDD) severely impacts daily activities and quality of life. Detecting MDD involves multimodal data, such as interview recordings and sensor measurements.…
Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology
Tianyu Liu, Ziqing Wang, Zhaokang Liang +12
Predicting immune biomarkers associated with the tumor immune microenvironment (TIME) is critical for advancing precision oncology, yet existing approaches are largely limited to s…
MP2D: Constrained Monte Carlo Tree-Guided Diffusion for Multi-Objective Protein Sequence Design
Zitai Kong, Yifan Dong, Yixuan Wu +3
Designing functional protein sequences that satisfy multiple desired properties is a core research focus of protein engineering. Prior methods struggle with inability or inefficien…
scTREAT: Latent Diffusion for Single-Cell Drug-Response Prediction
Zhaokang Liang, Shuyang Zhuang, Xiaoran Jiao +3
Generating drug-induced transcriptional responses requires a model to account for cellular background together with molecular identity and dose. We present scTREAT, the first diffu…
Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action
Jasmine Chiat Ling Ong, Yilin Ning, Mingxuan Liu +13
The integration of generative AI (GenAI) and large language models (LLMs) in healthcare presents both unprecedented opportunities and challenges, necessitating innovative regulator…