Biomarker discovery thesis

Short essay description
Biomarker discovery of liver diseases using mass spectrometry-based metabolomics. Xue Shi , University of Louisville. Metabolomics has emerged as one of the latest of the "-omics" disciplines that can detect metabolite biomarkers in biological samples. The diverse characteristics of metabolites make the analytical platform challenging in metabolomics.

Strategies for Untargeted Biomarker Discovery in Biological Fluids

CiteSeerX — The Budgeted Biomarker Discovery Problem

Wild, E. Despite encouraging results from in vitro and animal trials, disease-modifying therapeutic trials in HD are limited by a lack of tools to track disease progression. HD is clinically heterogeneous, and current clinical rating scales lack sensitivity and specificity, particularly over relatively short time periods. Improvements in the precision of objective measurement of disease progression in HD could lead to state markers biomarkers better able to predict onset, detect progression and measure the effects of therapeutic intervention. Biomarkers capable of detecting disease-related changes in premanifest gene carriers will be essential for clinical trials of treatments to delay onset. Imaging, clinical and cognitive assessment as well as laboratory markers have all been proposed as biomarkers, but few measures have been quantified over short time intervals or shown to be predictive of clinical change over longer periods. A robust panel of biomarkers from a number of modalities will be necessary to progress to interventional clinical trials of disease-modifying therapies in HD, using biomarkers to measure the success or failure of an intervention.

Chemical biology for Biomarker Discovery - Daniel Globisch

Ganchev, Philip Transfer rule learning for biomarker discovery and verification from related data sets. Doctoral Dissertation, University of Pittsburgh. Biomarkers are a critical tool for the detection, diagnosis,monitoring and prognosis of diseases, and for understandingdisease mechanisms in order to create treatments.
He is interested in cancer biomarker discovery and systems biology research. Specifically, he uses multi-omic approaches for analysis of human blood and tissues to identify cancer biomarkers and aberrant pathways and network activities. Varghese obtained her M.

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