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  • Oxford University Press (OUP)  (2)
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  • Oxford University Press (OUP)  (2)
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  • 1
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2022
    In:  Journal of Crohn's and Colitis Vol. 16, No. Supplement_1 ( 2022-01-21), p. i370-i370
    In: Journal of Crohn's and Colitis, Oxford University Press (OUP), Vol. 16, No. Supplement_1 ( 2022-01-21), p. i370-i370
    Abstract: Clinical decision support tools (CDST) were developed to predict drug response with introduction of various biologics to Crohn’s disease (CD) treatment. This study aimed to determine whether CDST’s for vedolizumab (V-CDST) and ustekinumab (U-CDST) could be used as prognostic markers or drug-specific markers to predict response. Methods A hypothetical scenario was created with, 872 CD patients who used first biologic at Samsung Medical Center between, 1995 and, 2020. V-CDST & U-CDST were calculated with clinical and laboratory data just before the first biologic was started. Cumulative Link Mixed Model (CLMM) test, weighted Kappa and plot, and Spearman’s correlation statistical techniques were used to check the degree of agreement and difference between the two tools. Results Twenty-five percent of biologic naïve CD patients could be categorized to different probability group using V-CDST and U-CDST. The difference between the two tools was significant [Two-sample Paired Ordinal Test with Cumulative Link Mixed Model (CLMM), p value & lt;, 0.001)]. Concordance between the two tools with a total of, 654 people (75% of all patients) was evaluated to have the same probability (weighted Kappa:, 0.47, 95% CI:, 0.41–0.52). Conclusion V-CDST and U-CDST are similar and different. V-CDST and U-CDST are useful for choosing vedolizumab or ustekinumab in, 25% of biologic-naïve CD patients in our hypothetical scenario.
    Type of Medium: Online Resource
    ISSN: 1873-9946 , 1876-4479
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2022
    detail.hit.zdb_id: 2389631-0
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  • 2
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2023
    In:  Journal of Computational Design and Engineering Vol. 10, No. 3 ( 2023-04-29), p. 947-958
    In: Journal of Computational Design and Engineering, Oxford University Press (OUP), Vol. 10, No. 3 ( 2023-04-29), p. 947-958
    Abstract: This study aimed to develop a simulation model that accounts for skin-specific properties in order to predict photothermal damage during skin laser treatment. To construct a computational model, surface geometry information was obtained from an optical coherence tomography image, and the absorption coefficient of the skin was determined through spectrophotometry. The distribution of the internal light dose inside the skin medium was calculated using the light propagation model based on the Monte Carlo method. The photothermal response due to the absorption of laser light was modeled by a finite difference time domain model to solve the bio-heat transfer equation. The predicted depth and area of the damaged lesions from the simulation model were compared to those measured in ex vivo porcine skin. The present simulation model gave acceptable predictions with differences of approximately ∼10% in both depth and area.
    Type of Medium: Online Resource
    ISSN: 2288-5048
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2023
    detail.hit.zdb_id: 2821811-5
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