Clinical trialsPhospholipidomics is a specialized branch of lipidomics that focuses on the characterization and quantification of phospholipids. By using sensitive analytical techniques, phospholipidomics enables researchers to better understand the metabolism and activities of phospholipids in brain disorders ...
we propose a new concept of clinical laboratory omics (Clinlabomics) by combining clinical laboratory medicine and AI. Clinlabomics can use high-throughput methods to extract large amounts of feature data from blood, body fluids, secretions, excreta, and...
Given the rich data emerging from cancer genomics research, it might seem surprising that relatively few omics tests have successfully navigated this path to clinical use. In some cases, the use of omics tests in clinical trials, or their promotion for routine clinical use, has been premature ...
Spurred by recent advances in high-throughput omics technologies, a new generation of tools to measure biological ageing now enables the quantitative characterization of ageing at molecular resolution. Epigenomic, transcriptomic, proteomic and metabolomic data can be harnessed with machine learning to build...
However, much of the translational research regarding tumor biomarker tests has been haphazard, often using data and specimen sets of convenience and ignoring many of the principles of the scientific method. In papers published simultaneously in BMC Medicine and Nature, McShane and colleagues have ...
Clinical multi-omics strategies for the effective cancer management targeted investigations to data-driven untargeted investigations focusing on the integrated diagnosis, treatment, and prevention of cancer in individual patients... BC Yoo,KH Kim,SM Woo,... - 《Journal of Proteomics》 被引量: 5发表...
(GPC2) across multiple pediatric brain tumors, researchers designed GPC2-directed CAR-T cells that could safely target malignant tumors with local delivery [107]. Promisingly, the integration of over 500 clinical trial data with transcriptional and proteomics data has facilitated the development of a...
enabling comprehensive quantitative pathology data mining, i.e., pathomics. Demographic and clinical characteristics of cohort Fig. 1: Flowchart of the patient cohorts and the integration of our framework for large-scale histomorphometry (FLASH) into a digital pathology workflow....
Quantitative trait loci (QTL) analysis is an important approach to investigate the effects of genetic variants identified through an increasing number of large-scale, multidimensional 'omics data sets. In this 'big data' era, the research community has identified a significant number of molecular QTL...
(GPC2) across multiple pediatric brain tumors, researchers designed GPC2-directed CAR-T cells that could safely target malignant tumors with local delivery [107]. Promisingly, the integration of over 500 clinical trial data with transcriptional and proteomics data has facilitated the development of a...