Networking opportunities for radiation oncology staff
Upcoming event 30 July 2019
Speaker: Dr Danielle Meyrick B.Sc(Hons), PhD, M.D.
Dr Danielle Meyrick is Chief Scientist with GenesisCare - Theranostics, where she has been instrumental in its establishment and growth since 2015. Her experience spans the public and university sectors, through to start-ups and multinationals. With a strong commitment to giving back to her profession, she has served on councils and committees for the Australian Institute of Nuclear Science and Engineering, ANSTO, and the Western Australian Curriculum Council, to name a few and has written peer-reviewed publications and technical reports across a breadth of topics in chemistry and medicine. Danielle is passionate about accessible, progressive and compassionate medicine, and looks forward to future contributions to the science meets clinical medicine domain, where she sees exciting transformational opportunities.
Time: 5:30pm for 6:00pm start
Venue: FSH Education Building – Lecture Theatre G2
Registration: Eventbrite (contact organiser David Cutt for password)
Disruptive innovation: Artificial intelligence in oncology and medical radiations
28th May 2019
Artificial intelligence represents a disruptive innovation which will change the way we work and live. Significant change is already occurring within the healthcare space and particularly within the sphere of medical radiations. How are we are going to evolve and rise to the challenge of AI becoming a part of day-to-day workflows? What does the future hold for us…. My talk will cover the technology behind Deep Learning and its current applications including its role in the healthcare space. I will also discuss how we can change our practices to flourish in the age of AI.
Speaker: Dr Hari Kirupananther MBBS Hons.
Hari Kirupananther has been practising medicine in Western Australia and New Zealand since graduating from UWA in 2010. He has seen the rapid evolution of digital health care provision over the last decade and has been involved in research in this area. Over the last 4 years whilst training in the specialty of radiation oncology, he has been actively involved in discussions regarding implementation of machine learning in the healthcare setting in New Zealand and Australia. He is an advocate for empathic human interface and patient-centred care, which he believes will be the answer to the growing influence of machine learning in all of our lives.
Time: 5:30pm for refreshments, 6pm start on Tuesday 28 May 2019.
Venue: Meeting Room 1, Radiation Oncology Department Sir Charles Gairdner Hospital.