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Artificial Intelligence (Latest Articles)
Latest indexed articles for 'Artificial Intelligence'
Articles 181 to 190 of 200:
Prediction of type III secretion signals in genomes of gram-negative bacteria.
13 Jun 2009 
BACKGROUND: Pathogenic bacteria infecting both animals as well as plants use various mechanisms to transport virulence factors across their cell membranes and channel these proteins into the infected host cell. The type III secretion system ...
rec_pub_19526054-prediction-type-iii-secretion-signals-genomes-gram-negative-bacteria.htm
10 Jun 2009 
OBJECTIVE: HIV treatment failure is commonly associated with drug resistance and the selection of a new regimen is often guided by genotypic resistance testing. The interpretation of complex genotypic data poses a major challenge. We have developed ...
rec_pub_19524413-a-comparison-three-computational-modelling-methods-prediction.htm
Group analyses of connectivity-based cortical parcellation using repeated k-means clustering.
10 Jun 2009 K-means clustering has become a popular tool for connectivity-based cortical segmentation using Diffusion Weighted Imaging (DWI) data. A sometimes ignored issue is, however, that the output of the algorithm depends on the initial placement of ...
rec_pub_19524682-group-analyses-connectivity-based-cortical-parcellation-using.htm
10 Jun 2009 Diffusion MRI has become an established research tool for the investigation of tissue structure and orientation. Since its inception, Diffusion MRI has expanded considerably to include a number of variations such as diffusion tensor imaging (DTI), ...
rec_pub_19586794-optimal-real-time-q-ball-imaging-using-regularized-kalman-filtering.htm
10 Jun 2009 G protein-coupled receptors (GPCRs) are part of multi-protein networks called 'receptosomes'. These GPCR interacting proteins (GIPs) in the receptosomes control the targeting, trafficking and signaling of GPCRs. PDZ domain proteins constitute the ...
rec_pub_19533032-a-machine-learning-based-method-prediction-g-protein-coupled-receptor.htm
9 Jun 2009 RATIONALE AND OBJECTIVES: The aim of this study was to investigate the effects of relative sensitivity (reader without computer-aided detection [CAD] vs stand-alone CAD) and reading mode on reader performance when using CAD software. MATERIALS AND ...
rec_pub_19523855-investigation-reading-mode-relative-sensitivity-factors-influence.htm
9 Jun 2009 RATIONALE AND OBJECTIVES: Enhancement characteristics after administration of a contrast agent are regarded as a major criterion for differential diagnosis in magnetic resonance mammography (MRM). However, no consensus exists about the best ...
rec_pub_19523854-clinical-mr-mammography-computer-assisted-methods-superior-visual.htm
8 Jun 2009 OBJECTIVE: Caudate atrophy rate measured from serial MRI is proposed as a biomarker of HD progression that may be of use in assessing putative disease-modifying agents. Manual measurement techniques are the most widely applied but are ...
rec_pub_19523522-automated-quantification-caudate-atrophy-local-registration-serial.htm
8 Jun 2009 PURPOSE: To compare the accuracy of frameless stereotactic and robot-assisted puncture in vitro based on computed tomography (CT) imaging with a slice thickness of 1, 3, and 5 mm. MATERIALS AND METHODS: 300 punctures were carried out with help of ...
rec_pub_19517342-accuracy-feasibility-frameless-stereotactic-robot-assisted-ct-based.htm
8 Jun 2009 BACKGROUND: Clinical guidelines carry medical evidence to the point of practice. As evidence is not always available, many guidelines do not provide recommendations for all clinical situations encountered in practice. We propose an approach for ...
rec_pub_19515252-using-data-mining-techniques-explore-physicians-therapeutic-decisions.htm
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