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.
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Preprint
Aug 2026
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.
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Jul 2026
Zhenjia Gan, Yuzhi Xu, Junde Xu et al.
· bioRxiv · 0 citations
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Open access
Aug 2026
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.
· bioRxiv · 0 citations
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