Rapid home therapy infusion of velaglucerase alfa in naïve patients with Gaucher disease.

Background: Enzyme replacement therapy (ERT) has revolutionised the management of patients with Gaucher disease (GD). In 2018, we published the safety and efficacy of rapid 10-min infusion of velaglucerase alfa in previously treated patients, mostly on low-dose therapy.

Aim: To improve quality of life (QoL) for patients needing lifelong bi-weekly infusions by introducing a 10-min infusion instead of 1 h per label in patients naive to ERT and on high-dose therapy.

Ultrahigh scan-rate quasi-distributed acoustic sensing system using array match interrogation.

Inspired by compressed sensing techniques, a method for significantly enhancing the maximum allowable scan rate in quasi-distributed acoustic sensing (Q-DAS) is described and studied. Matching the scan parameters to the interrogated array facilitates orders of magnitude improvement in the scan rate and a corresponding increase in the maximum slew rate (SR) of differential phase variations which can be measured without ambiguity. The method is termed array matched interrogation (AMI).

Preterm birth prediction in asymptomatic women at mid-gestation using a panel of novel protein biomarkers: the Prediction of PreTerm Labor (PPeTaL) study.

Background: Accurate prediction of spontaneous preterm labor/preterm birth in asymptomatic women remains an elusive clinical challenge because of the multi-etiological nature of preterm birth.

Objective: The aim of this study was to develop and validate an immunoassay-based, multi-biomarker test to predict spontaneous preterm birth.

Materials And Methods: This was an observational cohort study of women delivering from December 2017 to February 2019 at 2 maternity hospitals in Melbourne, Australia.

Optoacoustic model-based inversion using anisotropic adaptive total-variation regularization.

In optoacoustic tomography, image reconstruction is often performed with incomplete or noisy data, leading to reconstruction errors. Significant improvement in reconstruction accuracy may be achieved in such cases by using nonlinear regularization schemes, such as total-variation minimization and -based sparsity-preserving schemes. In this paper, we introduce a new framework for optoacoustic image reconstruction based on adaptive anisotropic total-variation regularization, which is more capable of preserving complex boundaries than conventional total-variation regularization.