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MathWorks Inc
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Forschungszentrum gmbh
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Stryker
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Siemens AG
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SourceForge net
atlas mpbpk ![]() Atlas Mpbpk, supplied by SourceForge net, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more https://www.bioz.com/product/m+atlab+v%2E+7%2E1/atlas2+amazon+backend+source+code/pmc06709424-126-0-20 Average 90 stars, based on 1 article reviews
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MongoDB Inc
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Forschungszentrum gmbh
anatomical region of interest (roi) defined with the julich atlas ![]() Anatomical Region Of Interest (Roi) Defined With The Julich Atlas, supplied by Forschungszentrum gmbh, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more https://www.bioz.com/product/m+atlab+v%2E+7%2E1/anatomical+region+of+interest++roi++defined+with+the+julich+atlas/pmc09943002-68-20-20 Average 90 stars, based on 1 article reviews
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PolyOne Corporation
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Awind Inc
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SoftMax Inc
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Verlag GmbH
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Neuromorphometrics Inc
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Image Search Results
Journal: CPT: Pharmacometrics & Systems Pharmacology
Article Title: ATLAS mPBPK: A MATLAB‐Based Tool for Modeling and Simulation of Minimal Physiologically‐Based Pharmacokinetic Models
doi: 10.1002/psp4.12441
Figure Lengend Snippet: ATLAS mPBPK user interface. ( a ) Data visualization elements. ( b ) Minimal physiologically‐based pharmacokinetic ( mPBPK ) model selection, simulation time/administration protocol, and target‐binding configuration. ( c ) mPBPK model parameter set‐up, checkboxes for parameter estimation, configuration of LB, UB for parameter estimation, and checkboxes for sensitivity analysis. ( d ) Buttons for different ATLAS mPBPK functions execution. ( e ) Plot for the different ATLAS mPBPK functions illustration. C.I., confidence interval; LB, lower bound; PO, oral; UB, upper bound.
Article Snippet:
Techniques: Selection, Binding Assay
Journal: CPT: Pharmacometrics & Systems Pharmacology
Article Title: ATLAS mPBPK: A MATLAB‐Based Tool for Modeling and Simulation of Minimal Physiologically‐Based Pharmacokinetic Models
doi: 10.1002/psp4.12441
Figure Lengend Snippet: The minimal physiologically‐based pharmacokinetic ( mPBPK ) models that are used in ATLAS mPBPK. ( a ) mPBPK model for small molecules. ( b ) mPBPK model for large molecules with no target binding. ( c ) mPBPK model for large molecules with target binding in plasma (interstitial fluid). ( d ) mPBPK model for large molecules with target binding in peripheral tissues. Parameters' names and typical values are shown in Table . EV, extravascular; IV, intravenous; PO, oral.
Article Snippet:
Techniques: Binding Assay, Clinical Proteomics
Journal: CPT: Pharmacometrics & Systems Pharmacology
Article Title: ATLAS mPBPK: A MATLAB‐Based Tool for Modeling and Simulation of Minimal Physiologically‐Based Pharmacokinetic Models
doi: 10.1002/psp4.12441
Figure Lengend Snippet: Simulation example for 600 mg intravenous dosing of benzylpenicillin. The minimal physiologically‐based pharmacokinetic ( mPBPK ) parameter values were taken from ref. and the PK data from ref. . C.I., confidence interval; LB, lower bound; UB, upper bound.
Article Snippet:
Techniques:
Journal: CPT: Pharmacometrics & Systems Pharmacology
Article Title: ATLAS mPBPK: A MATLAB‐Based Tool for Modeling and Simulation of Minimal Physiologically‐Based Pharmacokinetic Models
doi: 10.1002/psp4.12441
Figure Lengend Snippet: Concordance of simulated ATLAS mPBPK small‐molecule model values based on pharmacokinetic data of beta‐lactams. Figure is not an output of ATLAS mPBPK but was constructed by processing ATLAS mPBPK simulation output using MATLAB.
Article Snippet:
Techniques: Construct
Journal: CPT: Pharmacometrics & Systems Pharmacology
Article Title: ATLAS mPBPK: A MATLAB‐Based Tool for Modeling and Simulation of Minimal Physiologically‐Based Pharmacokinetic Models
doi: 10.1002/psp4.12441
Figure Lengend Snippet: Demonstration of the ATLAS mPBPK tool based on the fitting of methylprednisolone parameters to pharmacokinetic data and simulation of dexamethasone. ( a ) The intravenous kinetics of a 50 mg/kg bolus of methylprednisolone in rats were well described using the proposed model structure, with clearance from the plasma compartment (CL nh ) and the partition coefficient ( K P ) being estimated with reasonable precision. Both parameters were in good agreement with compartmental estimates of central clearance and BW–normalized volume of distribution at steady state ( V ss /BW). ( b ) Simulation of the plasma‐concentration time profile of 2.25 mg/kg subcutaneous dexamethasone in rats using parameter values from Song et al . yielded good recharacterization of the data. C.I., confidence interval; LB, lower bound; mPBPK, minimal physiologically‐based pharmacokinetic; UB, upper bound.
Article Snippet:
Techniques: Clinical Proteomics, Concentration Assay
Journal: CPT: Pharmacometrics & Systems Pharmacology
Article Title: ATLAS mPBPK: A MATLAB‐Based Tool for Modeling and Simulation of Minimal Physiologically‐Based Pharmacokinetic Models
doi: 10.1002/psp4.12441
Figure Lengend Snippet: Demonstration of ATLAS mPBPK large‐molecule model based on PK data of Trastuzumab (target binding in peripheral tissues) and Mavrillimumab (target binding in plasma) for a range of doses. Figures are not an output of ATLAS mPBPK but were constructed by processing ATLAS mPBPK simulation output using MATLAB. c‐TMDD, Target mediated drug disposition in plasma (central); hr, hour; mPBPK, minimal physiologically‐based pharmacokinetic modeling; p‐TMDD, target‐mediated drug disposition in peripheral tissues.
Article Snippet:
Techniques: Binding Assay, Clinical Proteomics, Construct
Journal: CPT: Pharmacometrics & Systems Pharmacology
Article Title: ATLAS mPBPK: A MATLAB‐Based Tool for Modeling and Simulation of Minimal Physiologically‐Based Pharmacokinetic Models
doi: 10.1002/psp4.12441
Figure Lengend Snippet: Sensitivity analysis of Trastuzumab 4 mg/kg. ( a ) ATLAS mPBPK interface showing Trastuzumab simulation and fitting. Red boxes indicate parameters chosen to test their sensitivities. ( b ) Sensitivity analysis output. Upper panel shows the sensitivity of AUC to the chosen parameters and lower panel the C max sensitivity to these parameters. C.I., confidence interval; LB, lower bound; mPBPK, minimal physiologically‐based pharmacokinetic; UB, upper bound.
Article Snippet:
Techniques:
Journal: IEEE transactions on medical imaging
Article Title: Identifying Autism Spectrum Disorder with Multi-Site fMRI via Low-Rank Domain Adaptation
doi: 10.1109/TMI.2019.2933160
Figure Lengend Snippet: C omparison with state-of-the-art methods for ASD identification using rs-f MRI ABIDE data on NYU site . HOA: H arvard O xford A tlas . GMR: G ray M atter ROIS; AAL: A natomical A utomatic L abeling .
Article Snippet: DAE [ 17 ] ,
Techniques: