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      “Life sciences have entered the era of big data, uncovering the complexity of human biological systems and advancing precision medicine and scientific wellness. Here, we introduce a novel framework for Good Data Governance Practice (GDGP) coupled with a grading initiative for the life sciences, focusing on traceability and openness. The GDGP framework systematically defines governance constraints, influencing factors, and functional capabilities to streamline data governance and management efficiency. This achievement lays the groundwork for compliant cross-institutional and cross-border data sharing and collaborative processing, poised to pave the way for standardized, ethical, and scalable data-driven research in precision medicine and beyond.”

      Han Liu, Jing Li, Sheng-Fa Zhang, Yue-Qiong Cao, Zheng-Lin Du, Xiao-Feng Jia, Guo-Hui Ding

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      DOI：10.24920/004549
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      Abstract：Life sciences have entered the era of big data, uncovering the complexity of human biological systems and advancing precision medicine and scientific wellness. In alignment with the Findable, Accessible, Interoperable, and Reusable (FAIR) principles, integrating population-level biological data resources from the academic and industrial sectors can substantially increase the efficiency of data utilization and foster innovative breakthroughs. Here, we introduce a novel framework for Good Data Governance Practice (GDGP) coupled with a grading initiative for the life sciences, focusing on traceability and openness. The GDGP framework systematically defines governance constraints, influencing factors, and functional capabilities to streamline data governance and management efficiency. This achievement lays the groundwork for compliant cross-institutional and cross-border data sharing and collaborative processing, poised to pave the way for standardized, ethical, and scalable data-driven research in precision medicine and beyond.  
      Keywords：data governance;grading initiative;FAIR principles;biological data   
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      Updated：2026-03-30
      “A new review introduces research progress in the field of acute ischemic stroke. Experts have explored the dynamic processes underlying reperfusion injury and neurovascular unit disruption, emphasizing reversible changes within the penumbra and emerging imaging-guided approaches. This work lays a foundation for developing individualized neuroprotective strategies.”

      Fu-Nan Shi, Zheng-Dao Yu, Xiao-Ning Wang, Zhen-Chang Zhang

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      DOI：10.24920/004558
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      Abstract：Acute ischemic stroke (AIS) ranks as the second leading cause of mortality among noncommunicable diseases globally. Although recent advancements in intravenous thrombolysis and endovascular thrombectomy have markedly increased recanalization rates in patients with large vessel occlusion, improvements in clinical outcomes have not been consistently observed. Accumulating evidence demonstrates that successful recanalization does not necessarily translate into effective tissue reperfusion. Accordingly, the concept of neuroprotection has evolved from a traditional focus on mitigating cellular necrosis toward a strategy aimed at delaying the progression of ischemic penumbra and preserving salvageable brain tissue. This review summarizes the dynamic processes underlying reperfusion injury, microcirculatory dysfunction, neurovascular unit disruption, and associated neuroprotective mechanisms. Particular emphasis is placed on reversible changes within penumbra, reperfusion-induced injury amplification, and emerging imaging-guided approaches and molecular biomarkers for precision interventions. These insights provide a framework for developing spatiotemporally coordinated, individualized neuroprotective strategies.  
      Keywords：acute ischemic stroke;neuroprotection;reperfusion;penumbra;brain imaging technology;precision medicine   
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      Updated：2026-03-20
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