My research asks a fundamental question: how does the immune system communicate with the brain, and how does the brain respond? These neuroimmune interactions shape behavior and survival during disease — most visibly in sickness, when animals stop eating, lose motivation, and withdraw from social contact. Unlike other sickness behaviors, social withdrawal is uniquely adaptive: it benefits both the sick individual and healthy members of the same group.

Precision oncology demands the integration of complementary data modalities, e.g., histopathology, spatial omics, and clinical records; yet current AI approaches rarely bridge them at scale. This talk presents a multimodal foundation AI program built around that integration. H&E-stained slides occupy a privileged role in this framework: universally collected as standard of care, they serve as the translational anchor through which spatially resolved molecular information can be delivered to patients who will never have access to high-plex assays. The program spans three AI capabilities: vision-language foundation models (MUSK, Nature 2025;

多模态多组学的高通量测序数据，从基因测序到蛋白质测序，到单细胞测序，再到空间组学，高通量测序的数据为训练深度学习的基础模型带来了可能。基于生命科学领域海量高通量数据的基础模型也为科学研究带来了新的研发范式，如何布局生命科学领域的大模型，如何用AI驱动的流程构建基于发现，理性设计和高通量实验验证的闭环方案，进而在临床以及虚拟细胞方向能够应用，百图生科用5年多的实践给出自己的体会和经验。

Every time we reach for a drink, tap on our phone, or button a shirt, the brain coordinates dozens of limb muscles with remarkable speed and precision. These movements depend not on a simple one-way command from brain to body, but on a continuous sensorimotor loop in which descending signals drive movement while sensory feedback updates the brain about the body’s evolving state.

作为一道屏障器官，皮肤是研究环境诱导（外源性）皮肤衰老的理想模型。本次讲座，Krutmann教授将阐述外源性皮肤老化的发生机制，包括皮肤暴露于特定暴露组因素所产生的后果、这些因素之间的相互作用、遗传因素对它们皮肤效应的调节，以及如何将这些发现成功转化为用于皮肤防护的化妆品与营养策略的开发。他还将讨论近期的机制研究，即利用核苷酸切除修复综合征中的科凯恩氏综合症B（CSB）和着色性干皮病A（XPA）作为加速模型来研究外源性皮肤衰老。这些研究揭示了CSB和XPA蛋白除了在核苷酸切除修复中的已知功能外，还具有此前未知的生物学作用。例如，通过使用CSB缺陷的人成纤维细胞、秀丽隐杆线虫和小鼠模型，研究证明CSB能够促进α-微管蛋白的乙酰化，从而调控自噬。具体而言，CSB与组蛋白乙酰化酶6以及α-微管蛋白乙酰转移酶MEC-17直接相互作用。

With the rapid advancement of connectomics and large-scale neural activity recording technologies, neuroscience is entering a new era in which both high-resolution structural information and large-scale functional data can be simultaneously acquired. However, how to build computational models starting from the connectome that can quantitatively predict neural dynamics and brain function remains a central challenge in contemporary neuroscience. This talk focuses on the theme of connectome-driven differentiable digital twin brain modeling, presenting our recent series of research advances in the direction of differentiable brain simulation. We have developed a suite of core tools, including BrainPy, a multi-scale differentiable brain simulation framework; BrainUnit, a physical unit system; and BrainTrace, a large-scale online learning system, forming a systematic technology stack encompassing large-scale simulation, event-driven acceleration, physical unit constraints, and online learning optimization. Building upon this foundation, we have preliminarily constructed differentiable whole-brain digital twin models for Drosophila (fruit fly) and zebrafish, providing a novel computational pathway for quantitatively investigating the mapping relationships among connectome structure, neural dynamics, and functional activity.

周文浩教授现任广州医科大学附属妇女儿童医疗中心主任(院长)、国务院政府特殊津贴专家、二级主任医师、中华医学会儿科学分会副主任委员、中华医学会儿科学分会临床药理学组组长、中国医师协会医学遗传分会副会长、复旦大学特聘教授、博士生导师。他长期致力于新生儿危重症的临床诊疗与转化研究，重点聚焦新生儿脑病和罕见病。周教授建立了中国新生儿神经重症联盟和中国新生儿基因组计划，有力推动了我国新生儿医学的发展。他先后主持国家重点研发计划、国家自然科学基金重点项目等国家级课题16项，在Nature、Developmental Cell、JAMA Pediatrics、Brain、Neuron等国际权威期刊发表SCI论文200余篇，拥有发明专利7项、计算机软件著作权1项。主编《新生儿学》《实用新生儿学》等8部教材及专著。近五年连续入选全球前2%顶尖科学家榜单。曾荣获华夏医学科技奖一等奖、上海市科技进步奖一等奖、中华医学科技奖二等奖、第六届妇幼健康科学技术奖一等奖等多项重要奖项。

Collagen provides vital mechanical support and a biochemical environment for nearly all human tissues. However, its signature triple-helical structure can be disrupted or denatured in diseases such as fibrosis, cancer, and arthritis. To detect these molecular changes, we developed Collagen Hybridization—a concept using synthetic peptides that selectively bind to unfolded collagen chains to form a hybrid triple helix without affecting intact collagen.

Dr. Tsao will present human genetic and basic science studies investigating abdominal aortic aneurysm (AAA), a common life-threatening condition in which progressive enlargement of the infrarenal aorta can lead to rupture and death. Current literature indicates that AAA has both genetic and environmental components that affect disease development and progression, but gene-environmental interactions have been minimally investigated.  His talk will discuss examples of areas where gene variation and environmental factors combine to accelerate AAA pathobiology....

Vascular dementia (VaD), the second-leading cause of dementia, is primarily a white matter ischemic disease with no direct therapies. Cell-cell interactions within lesion sites dictate disease progression or repair. To elucidate key intercellular pathways, we employed a VaD mouse model replicating many elements of the complex pathophysiology of human VaD, combined with transcriptomic and functional analyses. By integrating cell-type-specific mouse VaD transcriptomes with human VaD single-nucleus RNA-Seq data, and leveraging a custom ligand-receptor database (4,053...