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Artifical Intelligence to Predict Heart Disease Risk

Artifical Intelligence to Predict Heart Disease Risk Written by AZoRoboticsJun 1 2021 A new project using artificial intelligence technology could spell a medical breakthrough for people suffering from, or at risk of, coronary artery disease, the single leading cause of death in Australia. Professor Girish Dwivedi, UWA Wesfarmers Chair in Cardiology. Image Credit: The University of Western Australia The approach being developed by researchers at The University of Western Australia could allow for more accurate diagnosis and faster reporting across all aspects of healthcare, improving the quality and consistency of patient care. Related Stories The UWA team of experts in cardiac imaging and artificial intelligence was awarded more than $896,606 through a Medical Research Future Fund Frontiers grant to develop a tool to predict the risk of coronary heart disease from heart computed tomography (CT) scans.

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Artificial intelligence to predict heart disease

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Mix vaccine boosters to protect against new variants

Date Time Mix vaccine boosters to protect against new variants Associate Professor Chris Blyth is currently co-chair of the Australian Technical Advisory Group on Immunisation, Australia’s peak scientific committee on immunisation. Associate Professor Blyth is a clinician scientist with the Division of Paediatrics in the UWA Medical School, Co-Director of the Wesfarmers Centre of Vaccines and Infectious Diseases at the Telethon Kids Institute, an Infectious Diseases Physician at Perth Children’s Hospital, and a Clinical Microbiologist at PathWest Laboratory Medicine. He is a member of the COVID-19 Vaccine and Treatments for Australia Science and Industry Technical Advisory Group. Will it be possible to mix and match future vaccine boosters to protect against new variants (eg. those who were vaccinated with AstraZeneca later having a Moderna booster)? What research has been done into the safety and effectiveness of this so far?

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