suicide

Shadow of teenage girl crying

Artificial intelligence can help to identify risk factors for suicide and self-harm, according to new research from UNSW Sydney.

young girl sitting by wall hiding face

The risk of repeat self-harm in young people is highest in the first month after an initial self-harm hospital presentation.

A lone figure in a hoodie stands at the end of a wharf peering into the mist

Machine learning algorithms could be more accurate and reliable than conventional methods of predicting suicide risk.

People in army uniforms marching in line

The evidence presented and initial findings show how important the royal commission is.

Woman looking depressed

A UNSW expert on post-traumatic stress and anxiety explains why this year’s lockdown is affecting everyone – and especially vulnerable groups – differently.

australian soldiers marching on parade

Even healthy, well-adjusted veterans struggle with the transition from military to civilian life.

Young man sitting on a lounge with head in hands looking unhappy

Financial hardships in particular are likely to lead to ongoing mental health problems, even as the pandemic subsides. 

Refugees with insecure visas experience more trauma, depression and PTSD

A new study has revealed the association between refugees’ visas and their mental health.

Children and adolescents with mental illness facing hospitalisation

UNSW Sydney contributes to guidelines which indicate when children and adolescents should be treated in psychiatric hospitals.

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A new study by UNSW Sydney researchers has explored half a century of research into the suicide rates of people discharged from hospital after they presented with suicidal thoughts or behaviours.

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