Publications by authors named "Joshua Muller"

Glycoconjugates are a versatile class of bioactive molecules that have found application as vaccines and antivirals and in cancer therapy. Their synthesis typically involves elaborate functionalization and use of protecting groups on the carbohydrate component in order to ensure efficient and selective conjugation. Alternatively, non-functionalized, non-protected carbohydrates isolated from biological sources or derived through biotechnological methods can be directly conjugated -methyloxyamine groups.

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Article Synopsis
  • A study aimed to develop a deep learning model to automatically distinguish choroidal blood vessels from surrounding tissue in OCT images of healthy young subjects.
  • The research utilized OCT images from 100 children to train and evaluate five semantic networks, achieving high accuracy (>96%) and repeatability in binarizing the choroidal tissue compared to traditional methods.
  • The findings indicate that U-Net and SegNet are effective tools for binarizing choroidal images, suggesting their potential for clinical and research applications in ophthalmology.
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Objective: To estimate prevalence and persistence of 19 common paediatric conditions from infancy to 14-15 years.

Design: Population-based prospective cohort study.

Setting: Australia.

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Objectives: To determine which of multiple early-life exposures predict onset or resolution of overweight/obesity during a 9-year period.

Methods: : longitudinal cohort from three harmonised community-based cohorts enriched for overweight and obesity. : child-gestational age; delivery; birth weight; breast feeding; solids introduction; baseline body mass index (BMI); waist circumference; diet; activity; global, physical and psychosocial health.

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Raman spectroscopy was implemented successfully as a non-invasive and rapid process analytical technology (PAT) tool for in-line quantitative monitoring of functional coating. Coating experiments were performed at which diprophylline tablets were coated with a sustained release formulation based on Kollicoat SR 30 D. Using PLS a multivariate model was constructed by correlating Raman spectral data with the mean dissolution time as determined by dissolution testing and the coating thickness as measured by terahertz pulsed imaging.

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Background: Active coating is an important unit operation in the pharmaceutical industry. The quality, stability, safety and performance of the final product largely depend on the amount and uniformity of coating applied. Active coating is challenging regarding the total amount of coating and its uniformity.

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A multivariate model was constructed by correlating Raman spectral data with coated amount of the API diprophylline using Partial Least Squares. In agreement with ICH guideline Q2 the method was validated in order to achieve the requirement of demonstrating that Raman spectroscopy is suitable as rapid PAT tool for inline quantitative monitoring of active coating. The present work presents an appropriate approach to transfer the requirements of the guidelines to the Raman method used for inline measurements and demonstrates that the requirements of the validation characteristics were achieved.

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Background: Active coating is a specific application of film coating where the active ingredient is comprised in the coating layer. This implementation is a challenging operation regarding the achievement of desired amount of coating and coating uniformity. To guarantee the quality of such dosage forms it is desirable to develop a tool that is able to monitor the coating operation and detect the end of the process.

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