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    Bridging the Medication Adherence Gap from Therapeutic Drug Monitoring: A Bayesian approach for Anti-Seizure Medications
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    Abstract:
    Abstract Background: Adherence to antiseizure medications (ASMs) is crucial for the success of treatment. However, current recommendations for assessing medication adherence through therapeutic drug monitoring (TDM) may overlook individual patient characteristics, potentially leading to misjudgments. This study aims to evaluate the capability of a Bayesian approach in assessing adherence for 14 ASMs using TDM. Method: A Bayesian framework incorporating population pharmacokinetics was used to assess adherence using TDM data. Additionally, the impact of patient characteristics, concomitant medications, sampling times, and prior adherence probability was examined. Results: With essential patient information, such as age, weight, and scheduled dosing regimen, the Bayesian approach effectively assessed recent adherence for all investigated ASMs. The concentration thresholds varied by ASM and were influenced by patients' characteristics. To facilitate individual adherence evaluations, a web-based dashboard was developed. Conclusion: The integration of Bayesian methods with pharmacokinetics significantly enhances the reliability of TDM in assessing adherence to ASMs.
    Keywords:
    Therapeutic Drug Monitoring
    Medication Adherence
    This chapter contains sections titled: The Bridging-Fault Model Detection of Nonfeedback Bridging Faults Detection of Feedback Bridging Faults Bridging Faults Simulation Test Generation for Bridging Faults Concluding Remarks This chapter contains sections titled: References Problems
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    Recognising that differences in knowledge cultures and power in the co-construction of knowledge exist, means that work is required to create mechanisms for bridging. Drawing on the experiences of how such bridging was attempted in the ten case studies, this chapter shares insights into what are the keys to the art of bridging. In doing so, it also makes evident several layers of institutional and policy challenges that may need to be addressed for the practice of bridging to be effective.
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    The objective of this study is to evaluate the contribution of fiber bridging on intralaminar and interlaminar fracture toughness under mode II loading in unidirectional CFRP laminates. We used X-ray CT apparatus to capture the 3 dimensional computer graphics (3DCG) of bridging fibers in specimens. By using 3DCG, the bridging process was revealed. Furthermore, we classified bridging fibers into four patterns and counted the number of these fibers from 3DCG. The number of bridging fibers of intralaminar fracture is more than that of interlaminar fracture. Moreover, the density of bridging fibers in the region 5mm behind damage region tip is same as that in the region 10mm behind. The number of bridging fibers under mode II loading is less than that under mode I loading by comparing with the results of our previous study. The characteristic behavior of fiber bridging agrees with the result of fracture toughness test.
    Mixed mode
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