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Author

Yuzhi Xu

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#machine learning Preprint Sep 2026

An immune world model for multiscale forecasting and therapeutic hypothesis generation

Immune therapies act across cell-intrinsic programs, tissue ecosystems, and patient-specific immune states, yet most predictors address these scales separately. We used a governed evolutionary AI Scientist to construct the Immune World Model, an action-conditioned model that learns how interventions move immune states...

Tao-Yong Cui, Xi Wang, Zong-Hang Li et al. · 0 citations
Preprint Aug 2026

EpiBench: Can LLMs Understand Epitopes for Antibody Drug Discovery?

The results show that current LLMs capture partial epitope-related signals but remain limited in antibody-specific sequence grounding, long-context residue localization, and biologically grounded reasoning, so EpiBench provides a diagnostic testbed for measuring and improving sequence-aware biomedical LLMs toward relia...

Zi-Rui Wang, Jiaqing Wang, Qing-Han Wang et al. · 0 citations
Open access Aug 2026

NACraft: Programmatic nucleic-acid aptamer design via all-atom structure-model feedback

NACraft, a training-free and programmatic framework for all-atom nucleic-acid aptamer design based on backpropagation through structure-model feedback, is presented, demonstrating the effectiveness and versatility of NACraft and extending structure-model hallucination toward programmatic nucleic-acid aptamer design.

He-Qin Zhu, Jiaqi Wang, Wei-Bo Zhao et al. · 0 citations

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