A gender breakdown of unexpected benefits generated by work from home in STEM fields - A qualitative analysis of the WiMPBME Task Group survey.

Background: Working from home during the Covid-19 pandemic was perceived differently by men and women working in STEM fields. The aim of this paper is to highlight the unexpected benefits generated by working from home during the pandemic.

Methods: Qualitative methodology was used to analyze data, collected via survey.

Active learning and Gaussian processes for development of dissolution models: An AI-based data-efficient approach.

In vitro dissolution testing plays a key role in controlling the quality and optimizing the formulation of solid dosage pharmaceutical products. Data-driven dissolution models can improve the efficiency of testing: their predictions can act as surrogates to physical experiments and help identify key material attributes / processing parameters that impact product dissolution. Reducing the data (size) requirements of developing such models would significantly improve the utility of dissolution models.

Exploring Differentially Methylated Genes amongst Preterm birth and Full-term birth.

Introduction: Preterm birth (PTB) is associated with newborn morbidity and mortality. DNA methylation plays an important role in the development of fetus, thus can also serve as an epigenetic biomarker. Limited epigenetic studies were conducted in regard to PTB.