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Computer vision technology is advancing rare disease diagnosis to address unmet needs of the more than 300 million individuals affected globally; one in three rare diseases have a known facial phenotype. 3D face model reconstruction is a key driver of these advances.
This prospective longitudinal study examined changes in milk sodium concentration (Na) and sodium:potassium ratio (Na:K), microbiological culture, milk production, and breast health in relation to mastitis after preterm birth.
Genomic sequence data from worldwide human populations have provided a range of novel insights into our shared ancestry and the historical migrations that have shaped our global genetic diversity.
Trans youth are at high risk of mental health difficulties and negative life events. Strong parental support is highly protective however there is little understanding of what factors facilitate the process of parental understanding and acceptance of a child’s gender identity.
The transition to motherhood can be challenging, especially for first-time mothers, and can accompany maternal distress. Social support—such as that offered by peers—can be important in assisting mothers to manage such distress.
To address climate change concerns, and reduce the carbon footprint caused by fossil fuel use, it is likely that blend ratios of renewable biodiesel with commercial mineral diesel fuel will steadily increase, resulting in biodiesel use becoming more widespread.
Childhood obesity and physical inactivity are two of the most significant modifiable risk factors for the prevention of non-communicable diseases. Yet, a third of children in Wales and Australia are overweight or obese, and only 20% of UK and Australian children are sufficiently active.
In this chapter, we describe the life course approach and explain key concepts and principles. We also review variations in life course theory across disciplines including differences in terminology and understanding of core elements of life course theory.
RNA-sequencing (RNA-seq) efforts in acute lymphoblastic leukaemia have identified numerous prognostically significant genomic alterations which can guide diagnostic risk stratification and treatment choices when detected early.
Flow cytometry (FCM) and transcription profiling are the two widely used assays in translational immunology research. However, there is no data integration pipeline for analyzing these two types of assays together with experiment variables for biomarker inference.