Taken together, our study compares and contrasts the distinct pathologies underpinning the two premature aging disorders, and provides reliable stem-cell based models to identify new therapeutic strategies for pathological and physiological aging.
We utilize retrospective data from 9,103 terminally ill patients to demonstrate the design and implementation RST- based models to identify potential hospice candidates.
As such, we employed a stoichiometric-based model to identify combinations of gene knockouts for improving NADPH availability in Escherichia coli.
We develop an individual-based model to identify the optimal strategies in terms of these memory genotypes.
Alterations in the face and skull are present in 30 40% of genetic disorders, and these alterations can help doctors to identify certain disorders, such as Down's syndrome or Fragile X. Extending this approach, Ferry et al. trained a computer-based model to identify the patterns of facial abnormalities associated with different genetic disorders.
The purpose of this study was to develop the ANN based predictive model to identify patients with high risk of vomiting during PCEA used.
GOMA is based on an optimization model to identify the most coherent subnetworks.
The method involves first performing sensitivity analysis based on a reasonable kinetic model to identify the species dominated by a target reaction.
In order to counter the malicious attacks from internal nodes in Wireless Sensor Network(WSN), this paper proposes an Energy-optimized Secure Routing(EOSR) based on distributed trust evaluation model to identify and isolate Malicious node.
MethylMix is based on a beta mixture model to identify methylation states and compares them with the normal DNA methylation state.
Wang et al [ 24] propose a new topological model by extending the definition of k-clique community of algorithm CPM and introducing distance restriction, and develop a novel algorithm called CP-DR based on the new topological model to identify protein complexes.
