Michèle Ramsay,Amelia C Crampin,Ayaga A Bawah et al.
Michèle Ramsay et al.
Building longitudinal population cohorts in Africa for coordinated research and surveillance can influence the setting of national health priorities, lead to the introduction of appropriate interventions, and provide evidence for targeted t...
Employing Informatics Strategies in Alzheimer's Disease Research: A Review from Genetics, Multiomics, and Biomarkers to Clinical Outcomes [0.03%]
阿尔茨海默病研究中的信息学策略运用：从遗传、多组学及生物标志物到临床结局的综述
Jingxuan Bao,Brian N Lee,Junhao Wen et al.
Jingxuan Bao et al.
Alzheimer's disease (AD) is a critical national concern, affecting 5.8 million people and costing more than 250 billion annually. However, there is no available cure. Thus, effective strategies are in urgent need to discover AD biomarkers f...
Harnessing Artificial Intelligence in Multimodal Omics Data Integration: Paving the Path for the Next Frontier in Precision Medicine [0.03%]
利用人工智能整合多模态组学数据：推动精准医学的下一个前沿领域
Yonghyun Nam,Jaesik Kim,Sang-Hyuk Jung et al.
Yonghyun Nam et al.
The integration of multiomics data with detailed phenotypic insights from electronic health records marks a paradigm shift in biomedical research, offering unparalleled holistic views into health and disease pathways. This review delineates...
Spatially Resolved Single-Cell Omics: Methods, Challenges, and Future Perspectives [0.03%]
空间分辨单细胞组学：方法、挑战与未来前景
Felipe Segato Dezem,Natalia Silva Morosini,Wani Arjumand et al.
Felipe Segato Dezem et al.
Overlaying omics data onto spatial biological dimensions has been a promising technology to provide high-resolution insights into the interactome and cellular heterogeneity relative to the organization of the molecular microenvironment of t...
Ruth Johnson,Michelle M Li,Ayush Noori et al.
Ruth Johnson et al.
In clinical artificial intelligence (AI), graph representation learning, mainly through graph neural networks and graph transformer architectures, stands out for its capability to capture intricate relationships and structures within clinic...
Computational Methods for Predicting Key Interactions in T Cell-Mediated Adaptive Immunity [0.03%]
计算预测T细胞介导的适应性免疫的关键相互作用的方法
Ryan Ehrlich,Eric Glynn,Mona Singh et al.
Ryan Ehrlich et al.
The adaptive immune system recognizes pathogen- and cancer-specific features and is endowed with memory, enabling it to respond quickly and efficiently to repeated encounters with the same antigens. T cells play a central role in the adapti...
Data Science Methods for Real-World Evidence Generation in Real-World Data [0.03%]
真实世界数据中生成真实世界证据的数据科学方法学研究
Fang Liu
Fang Liu
In the healthcare landscape, data science (DS) methods have emerged as indispensable tools to harness real-world data (RWD) from various data sources such as electronic health records, claim and registry data, and data gathered from digital...
Mapping the Multiscale Proteomic Organization of Cellular and Disease Phenotypes [0.03%]
绘制细胞和疾病表型的多尺度蛋白质组织图
Anthony Cesnik,Leah V Schaffer,Ishan Gaur et al.
Anthony Cesnik et al.
While the primary sequences of human proteins have been cataloged for over a decade, determining how these are organized into a dynamic collection of multiprotein assemblies, with structures and functions spanning biological scales, is an o...
Mapping the Human Cell Surface Interactome: A Key to Decode Cell-to-Cell Communication [0.03%]
绘制人类细胞表面互作图谱——解读细胞间通讯的关键
Jarrod Shilts,Gavin J Wright
Jarrod Shilts
Proteins on the surfaces of cells serve as physical connection points to bridge one cell with another, enabling direct communication between cells and cohesive structure. As biomedical research makes the leap from characterizing individual ...
Ruowang Li,Joseph D Romano,Yong Chen et al.
Ruowang Li et al.
The progress of precision medicine research hinges on the gathering and analysis of extensive and diverse clinical datasets. With the continued expansion of modalities, scales, and sources of clinical datasets, it becomes imperative to devi...