Infertility stigma and openness with others are related to depressive symptoms and meaning in life in men and women diagnosed with infertility.

Background: Stigma is the experience of feeling different from socially accepted norms which can lead to personal devaluation or fear of disapproval from others. For men and women experiencing infertility, stigma has been associated with psychological distress, feelings of otherness in relation to people with children, and selective disclosure with others about their infertility challenges. However, there are few studies which examine how infertility stigma and being open with others are related to depressive symptoms and meaning in life for men and women diagnosed with infertility.

Automated post-run analysis of arrayed quantitative PCR amplification curves using machine learning.

Background: The TaqMan Array Card (TAC) is an arrayed, high-throughput qPCR platform that can simultaneously detect multiple targets in a single reaction. However, the manual post-run analysis of TAC data is time consuming and subject to interpretation. We sought to automate the post-run analysis of TAC data using machine learning models.

Respiratory symptoms after coalmine fire and pandemic: A longitudinal analysis of the Hazelwood Health Study adult cohort.

The aim of this study was to determine whether the effects of extreme but discrete PM2.5 exposure from a coal mine fire on respiratory symptoms abated, persisted, or worsened over time, and whether they were exacerbated by COVID-19. We analysed longitudinal survey data from a cohort residing near a 2014 coalmine fire in regional Australia.

Developing multifactorial dementia prediction models using clinical variables from cohorts in the US and Australia.

Existing dementia prediction models using non-neuroimaging clinical measures have been limited in their ability to identify disease. This study used machine learning to re-examine the diagnostic potential of clinical measures for dementia. Data was sourced from the Australian Imaging, Biomarkers, and Lifestyle Flagship Study of Ageing (AIBL) and the Alzheimer's Disease Neuroimaging Initiative (ADNI).