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...
Annabel C Beichman,Luke Zhu,Kelley Harris
Annabel C Beichman
Novel sequencing technologies are making it increasingly possible to measure the mutation rates of somatic cell lineages. Accurate germline mutation rate measurement technologies have also been available for a decade, making it possible to ...
Generating Clinical-Grade Gene-Disease Validity Classifications Through the ClinGen Data Platforms [0.03%]
通过ClinGen数据平台生成临床级别的基因疾病有效性分类
Matt W Wright,Courtney L Thaxton,Tristan Nelson et al.
Matt W Wright et al.
Clinical genetic laboratories must have access to clinically validated biomedical data for precision medicine. A lack of accessibility, normalized structure, and consistency in evaluation complicates interpretation of disease causality, res...
Bringing the Genomic Revolution to Comparative Oncology: Human and Dog Cancers [0.03%]
基因组革命与比较肿瘤学：人类和狗的癌症
James A Cahill,Leslie A Smith,Soumya Gottipati et al.
James A Cahill et al.
Dogs are humanity's oldest friend, the first species we domesticated 20,000-40,000 years ago. In this unequaled collaboration, dogs have inadvertently but serendipitously been molded into a potent human cancer model. Unlike many common mode...
Human Genetics and Genomics for Drug Target Identification and Prioritization: Open Targets' Perspective [0.03%]
药物靶点的鉴定与优选：Open Targets的视角（人类基因组及遗传学角度）
Ellen M McDonagh,Gosia Trynka,Mark McCarthy et al.
Ellen M McDonagh et al.
Open Targets, a consortium among academic and industry partners, focuses on using human genetics and genomics to provide insights to key questions that build therapeutic hypotheses. Large-scale experiments generate foundational data, and op...
AlphaFold and Protein Folding: Not Dead Yet! The Frontier Is Conformational Ensembles [0.03%]
AlphaFold与蛋白质折叠：远未终结！前沿是构象系综
Gregory R Bowman
Gregory R Bowman
Like the black knight in the classic Monty Python movie, grand scientific challenges such as protein folding are hard to finish off. Notably, AlphaFold is revolutionizing structural biology by bringing highly accurate structure prediction t...
Biomedical Data Science, Artificial Intelligence, and Ethics: Navigating Challenges in the Face of Explosive Growth [0.03%]
生物医学数据科学、人工智能与伦理：应对爆炸性增长带来的挑战
Carole A Federico,Artem A Trotsyuk
Carole A Federico
Advances in biomedical data science and artificial intelligence (AI) are profoundly changing the landscape of healthcare. This article reviews the ethical issues that arise with the development of AI technologies, including threats to priva...