S Trent Rosenbloom,A Jay Holmgren,Bryan D Steitz
S Trent Rosenbloom
Health information technology tools, including electronic health records, are ubiquitous in healthcare across the United States. Despite the promise and opportunity of these tools, their benefits have been uneven while also having the unint...
Tram Anh Nguyen,Wendy Su,Ananya Rajagopalan et al.
Tram Anh Nguyen et al.
The vast potential of observational healthcare data in biomedical discovery remains largely unrealized because clinical records are fragmented, unstructured, and generated for patient care rather than research. Clinical knowledge representa...
Mechanistic Mutational Scanning to Uncover the Secret Life of Proteins [0.03%]
基于机制的突变扫描揭示蛋白质“隐藏的生命”
Matthew K Howard,Willow Coyote-Maestas
Matthew K Howard
Deep mutational scanning (DMS) has emerged as a transformative tool for dissecting individual protein function and broader cell biology. DMS methods enable comprehensive interrogation of sequence-function relationships by systematically tes...
Gabrielle Samuel,Loïc Lannelongue
Gabrielle Samuel
Biomedical data science holds immense promise for improving human health. However, the field carries an environmental cost stemming from the energy- and resource-intensive nature of its computational infrastructure. This article provides a ...
Jessica D Tenenbaum,James J Cimino,David A Dorr et al.
Jessica D Tenenbaum et al.
The learning health system (LHS) paradigm focuses on generation of new knowledge based on analysis of data collected during clinical care, as well as continuous improvement of the healthcare system based on the application of that knowledge...
Data Science at the Interface of Air Pollution and Lung Health: Toward Precision Health [0.03%]
面向肺健康的空气污染界面数据科学：迈向精准健康
Kenneth Ofori-Amanfo,Maya Dustin,Emilia L Lim
Kenneth Ofori-Amanfo
Air pollution is a leading cause of death, commonly linked to respiratory diseases, such as asthma, chronic obstructive pulmonary disease, and lung cancer. With a view toward precision health, efforts have been made to ascertain the relatio...
Methods for Mapping and Analyzing Context-Specific Protein-Protein Interaction Networks [0.03%]
映射和分析特定条件下的蛋白质互作网络的方法
Tavis J Reed
Tavis J Reed
Protein-protein interactions (PPIs) form highly dynamic and context-specific networks that vary across cell types and perturbation states. Mapping and understanding these context-dependent interactomes is essential for unraveling cellular o...
Beyond the Transcriptome: Leveraging Cellular Indexing of Transcriptomes and Epitopes by Sequencing (CITE-seq) for Deeper Cellular Insights [0.03%]
超越转录组：利用转录组和表位的细胞索引测序(CITE-seq)获取更深入的细胞见解
Marina L Fernández,Felipe A Gajardo Escobar,Marcela K Sjöberg-Herrera et al.
Marina L Fernández et al.
The advent of single-cell genomics has revealed profound cellular heterogeneity, yet transcriptomic profiling alone often fails to show the functional proteomic state of a cell. Cellular indexing of transcriptomes and epitopes by sequencing...
Yunjun Kang,Theodore G Drivas
Yunjun Kang
In human genetics, penetrance describes the probability that a genotype manifests as a phenotype within a defined clinical window, yet its biological determinants remain poorly understood. Advances in sequencing technologies, statistical fr...
Comparative Oncology: Evolutionary Perspectives, Emerging Discoveries, and Analytical Advances [0.03%]
比较肿瘤学：进化观点、新兴发现和分析进展
Vahid Nikoonejad Fard,Marc Tollis
Vahid Nikoonejad Fard
Cancer is an evolutionary inevitability of multicellularity that emerges when cooperative cellular networks collapse into competition for survival and replication. Despite decades of extensive research, progress in cancer treatment remains ...