Deep learning versus manual morphology-based embryo selection in IVF: a randomized, double-blind noninferiority trial.

To assess the value of deep learning in selecting the optimal embryo for in vitro fertilization, a multicenter, randomized, double-blind, noninferiority parallel-group trial was conducted across 14 in vitro fertilization clinics in Australia and Europe. Women under 42 years of age with at least two early-stage blastocysts on day 5 were randomized to either the control arm, using standard morphological assessment, or the study arm, employing a deep learning algorithm, intelligent Data Analysis Score (iDAScore), for embryo selection. The primary endpoint was a clinical pregnancy rate with a noninferiority margin of 5%.

How do we engage global communities in the de-stigmatisation of mental illness?

The World Health Organization (WHO) has acknowledged that high-income countries often address discrimination against people with mental health problems, but that low/middle income countries often have significant gaps in their approach to this subject-in how they measure the problem, and in strategies, policies and programmes to prevent it. Localised actions have occurred. These include the Hong Kong government's 2017 international conference on overcoming the stigma of mental illness, and the 2018 London Global Ministerial Mental Health Summit.