There are no items in your cart
Perinatal mortality is a global tragedy.
Thanks to Drakes & its customers–the 2021 Drakes Supermarkets Christmas Bauble Campaign in support of Mater Little Miracles is moving toward a future with more joy.
Sadly, global estimates exceed 2.6 million deaths annually in the antenatal and intrapartum period, while at-risk infants are also vulnerable to severe hypoxia-related morbidity.
There is a clear imperative for effective methods to identify at-risk pregnancies and interventions to reduce perinatal mortality and severe neonatal morbidity.
Research into stillbirth, neonatal death and severe neonatal morbidity remains a global challenge.
Imagine if we could predict adverse pregnancy outcomes for mothers, lowering the risk of babies going into distress during labour? This would mean less mothers and babies would be at risk during childbirth across Australia.
You can support the 2021 Drakes Supermarkets Christmas Bauble Campaign by purchasing a $2 token in-store.
Funds from this campaign enable more mothers and unborn babies in rural and remote communities to access vital ultrasound care. Earlier diagnosis of life-threatening complications and better predictions of which women may be at risk of developing serious complications during pregnancy and birth lowers the risk of foetal distress and devastating stillbirth.
Thanks to this support, research efforts such as Mater Professor Sailesh Kumar’s work focusing on investigating ‘computer learning’ techniques to predict adverse pregnancy outcomes is already breaking ground in this space.
“Machine learnings have been used in other areas of medicine to identify patients that are at risk of adverse outcomes or those who may not respond to a particular type of treatment. However, their application in maternity care is limited,” Sailesh explains.
“Using data collected at Mater Mothers’ Hospital Brisbane, we aim to develop reliable prediction models for a variety of important clinical outcomes related to in-utero hypoxia (lack of oxygen) and validate these models from data collected across Queensland. If we are successful, the benefits may result in improved clinical outcomes.”
Professor Sailesh wishes to extend his work by utilising artificial intelligence techniques and very large datasets to develop predictive models for a variety of adverse outcomes from pregnancy through to the first year of a child's life.
Sailesh’s vision is that these models will allow healthcare professionals and organisations to screen and identify at-risk women and intervene in a timely manner and prevent some of these devastating complications.
Can you imagine the impact of this incredible work?
Thanks to Drakes and their customers supporting Mater Little Miracles, we are one step closer to turning vision into reality.