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By utilizing this data and developing mathematical algorithms and probability plots the authors were able to accurately predict the disease in more than two thirds of individuals involved in the study.
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To utilize this data and move toward the goal of personalized therapy in pain management and eventually to the goal of evidence-based pain medicine, Michigan State University (MSU) has partnered with Michigan Pain Consultants PC (MPC) and ProCare Systems, Inc. to share data and expertise.
Utilizing this data set and the process described in Materials and Methods, the gene content of each segment described in Chin et al. was identified.
Participants viewed analytics as a set of processes and tools for extraction of data and utilizing this data to develop predictive models to address critical issues in higher education.
Utilizing this data will enable much better and more holistic care that will get progressively better with time.
This public-private partnership between MSU, ProCare, and MPC was established to evaluate and utilize this data repository for research and development in the pervasive, costly, and seemingly underfunded domain of medical pain management.
With the completion of genome sequences belonging to some of the major crop plants, new challenges arise to utilize this data for crop improvement and increased food security.
In order to have these complex and heterogeneous data structures available at the manufacturer's fingertips, there are many opportunities and ways to exploit and utilize this data also for routine process trending or even as part of the process control strategy.
Together with this continuously growing amount of available data, comes the need as well as the opportunity to organize, analyze, and utilize this data in order to aid the design of novel, active, and potentially selective kinase inhibitors.
Through utilizing this, authorization and data between Energy IoT(Internet of Things), Gateway, and User Device that exist in the same WPAN(Wireless Personal Area Network) can be protected.
Utilizing this system and resequencing data from PS and SC lines, 66% (288/435) of newly designed SNPs called with the simply unified pair-end resequencing (SUPER) pipeline [ 51] were validated (Additional file 1: Table S2), adding to the more than 1,200 SNP markers validated in the PS x SC population to date (Garcia-Mas, unpublished).
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