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期刊名:Annual review of biomedical data science

缩写:ANNU REV BIOMED DA S

ISSN:2574-3414

e-ISSN:2574-3414

IF/分区:6.0/Q1

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共收录本刊相关文章索引119
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Jamie R Robinson,Wei-Qi Wei,Dan M Roden et al. Jamie R Robinson et al.
The rise in available longitudinal patient information in electronic health records (EHRs) and their coupling to DNA biobanks has resulted in a dramatic increase in genomic research using EHR data for phenotypic information. EHRs have the b...
Theodore Alexandrov Theodore Alexandrov
Spatial metabolomics is an emerging field of omics research that has enabled localizing metabolites, lipids, and drugs in tissue sections, a feat considered impossible just two decades ago. Spatial metabolomics and its enabling technology-i...
Tiffany J Callahan,Ignacio J Tripodi,Harrison Pielke-Lombardo et al. Tiffany J Callahan et al.
Knowledge-based biomedical data science involves the design and implementation of computer systems that act as if they knew about biomedicine. Such systems depend on formally represented knowledge in computer systems, often in the form of k...
Sagar,Dominic Grün Sagar
Cellular differentiation is a common underlying feature of all multicellular organisms through which naïve cells progressively become fate restricted and develop into mature cells with specialized functions. A comprehensive understanding o...
Rion Brattig Correia,Ian B Wood,Johan Bollen et al. Rion Brattig Correia et al.
Social media data have been increasingly used to study biomedical and health-related phenomena. From cohort-level discussions of a condition to population-level analyses of sentiment, social media have provided scientists with unprecedented...
Jie Ren,Xin Bai,Yang Young Lu et al. Jie Ren et al.
Genome and metagenome comparisons based on large amounts of next generation sequencing (NGS) data pose significant challenges for alignment-based approaches due to the huge data size and the relatively short length of the reads. Alignment-f...
Peng Jiang,William R Sellers,X Shirley Liu Peng Jiang
Despite significant progress in cancer research, current standard-of-care drugs fail to cure many types of cancers. Hence, there is an urgent need to identify better predictive biomarkers and treatment regimes. Conventionally, insights from...
Juan M Banda,Martin Seneviratne,Tina Hernandez-Boussard et al. Juan M Banda et al.
With the widespread adoption of electronic health records (EHRs), large repositories of structured and unstructured patient data are becoming available to conduct observational studies. Finding patients with specific conditions or outcomes,...
April Moreno Arellano,Wenrui Dai,Shuang Wang et al. April Moreno Arellano et al.
Privacyis an important consideration when sharing clinical data, which often contain sensitive information. Adequate protection to safeguard patient privacy and to increase public trust in biomedical research is paramount. This review cover...