Search Results - Lan Jiang
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Global, Regional, and National Epidemiology of Vision Impairment due to Diabetic Retinopathy Among Working‐Age Population, 1990–2021
Published 2025-07-01Get full textABSTRACT Background To evaluate the global, regional, and national trends of vision impairment associated with diabetic retinopathy (DR) in the working‐age population (20–65 years) from 1990 to 2021. Methods This was a population‐based analysis using data from the Global Burden of Disease Study 2021...
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3D Femtosecond Laser Beam Deflection for High‐Precision Fabrication and Modulation of Individual Voxelated PCM Meta‐Atoms
Published 2025-03-01Get full textAbstract Optical metasurfaces have found widespread applications in the field of optoelectronic devices. However, achieving dynamic and flexible control over metasurface functionalities, while also developing simplified fabrication methods for metasurfaces, continues to pose a significant challenge....
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CellMemory: hierarchical interpretation of out-of-distribution cells using bottlenecked transformer
Published 2025-06-01Get full textAbstract Machine learning methods, especially Transformer architectures, have been widely employed in single-cell omics studies. However, interpretability and accurate representation of out-of-distribution (OOD) cells remains challenging. Inspired by the global workspace theory in cognitive neurosci...
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人工智能融合临床与多组学数据在卒中防治及医药研发中的应用与挑战Applications and Challenges of Integrating Artificial Intelligence with Clinical and Multi-omics Data in Stroke Prevention, Treatment, and Pharmaceut...
Published 2025-06-01Get full text卒中是全球致死致残的首要病因。基于人工智能（artificial intelligence，AI）融合临床与多组学数据的研究范式，为卒中精准防治提供了新方案。AI技术通过整合分析临床与多组学数据，能够提升卒中高危人群识别能力，优化早期诊断与风险评估，实现卒中亚型的精准分型，同时可筛选潜在药物靶点，构建预后预测模型。然而，卒中多组学资源相对匮乏、多模态数据融合困难，以及算法可解释性不足等仍是临床转化的主要瓶颈。本文对AI融合临床与多组学数据在卒中防治及医药研发中的应用与挑战等研究进展进行综述。Abstract: Stroke is the leading global cause of dea...
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