3 projects. Each entry is a research narrative: question, method, evidence, limitations.共 3 个项目。每个条目都是一段科研叙事：问题、方法、证据、局限。
Can selected SAE-derived residue profiles be recovered from protein sequence beyond what is supported by matched structured-null controls?仅凭蛋白质序列，能否在匹配的结构化零假设对照之上恢复选定的 SAE 残基特征谱？
Testing whether sequence-only models can recover selected SAE-derived residue profiles from ESM-C representations.检验仅使用序列的轻量模型能否恢复 ESM-C 表征中选定的 SAE 残基特征谱。
How should a pathology distillation study test efficiency, external validity, and calibration before making deployment claims?病理知识蒸馏研究应如何检验效率、外部有效性与校准，才能避免过早作出部署论断？
A proposed study of knowledge distillation from a pathology foundation model to a lightweight classifier.一项把病理基础模型知识蒸馏到轻量分类器的拟议方法研究。
| No.编号 | Title标题 | Year年份 | Status状态 | Area方向 |
|---|---|---|---|---|
| 01 | SAE-DISTILLSAE-DISTILL Can selected SAE-derived residue profiles be recovered from protein sequence beyond what is supported by matched structured-null controls?仅凭蛋白质序列，能否在匹配的结构化零假设对照之上恢复选定的 SAE 残基特征谱？ | 2026 | Manuscript Submitted稿件已投稿 | Protein AI蛋白质 AI |
| 02 | PAO1 Anti-virulence DiscoveryPAO1 抗毒力候选物优先级排序 Can computational prioritization across multiple virulence-associated proteins identify credible anti-virulence candidates for PAO1 without relying on bactericidal activity?在不把杀菌活性作为前提的情况下，多靶点计算优先级排序能否为 PAO1 筛出值得进一步验证的抗毒力候选物？ | 2026 | Manuscript Submitted稿件已投稿 | Biomedical AI生物医学 AI |
| 03 | Distill PathologyDistill Pathology How should a pathology distillation study test efficiency, external validity, and calibration before making deployment claims?病理知识蒸馏研究应如何检验效率、外部有效性与校准，才能避免过早作出部署论断？ | 2026 | Concept · Method Study研究构想 · 方法练习 | Biomedical AI生物医学 AI |
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