While a large international effort is underway to develop an effective vaccine against COVID-19, Australian scientists are among those working on treatments to reduce its impact in the meantime – especially for those most at risk from the potentially fatal disease.
Associate Professor Nick Hopwood and his collaborators are on a mission to raise awareness about tube-feeding to help families support children with complex feeding difficulties.
In 2011, Australia’s maternal death rate of 7.1 women per 100,000 was one of the lowest in the world. In neighbouring Papua New Guinea that same year, the rate was a staggering 129 times higher.
UTS’s Paul Kennedy and Dan Catchpoole from The Children’s Hospital at Westmead are using data science to improve treatments for kids with cancer. Their research will inform tailored treatments and help clinicians to make better decisions.
In November 2016, a high grass pollen count, stormy weather and strong winds conspired to create a deadly thunderstorm asthma event in Melbourne. Nine people died from severe asthma attacks and hundreds more overwhelmed ambulance services and hospital emergency departments.
Data analytics and nursing may seem like unlikely bedfellows, but a new data-driven collaboration between the UTS Faculty of Health and the Connected Intelligence Centre (CIC) has the potential to transform nursing education and practice.
Personalising medical treatment. Reducing credit card risk. Identifying students who need help. Ensuring everyone pays their fair share of tax – no more and no less. The applications of data science are endless and meaningful, says Eureka Prize-winning data scientist Professor Longbing Cao.