All the events here are relevant to people working in dementia research. If you would like to add your own you can submit an event
Salon – Exploring Image Based Machine Learning
April 23 @ 12:00 pm - 1:00 pm
A weekly webinar to discuss careers and research topics. These sessions combine livestreams, guest speakers, and group online chat to exchange ideas, challenge, influence, inspire, and educate. In this session, we hear from Dr Sindhuja Tirumalai Govindarajan from University of Pennsylvania and Dr Prashanth Gouda from the National University of Science and Technology, Oman. Together they will explore the topic of Image based machine learning.
How can image-based machine learning change the way we approach dementia research? Can Machine Learning (ML) and Artificial intelligence (AI) truly identify patterns and biomarkers in brain scans that humans might miss? And if it can, how do we ensure the data is unbiased, the insights actionable, and the benefits tangible for patients? These are the questions at the forefront of innovation in dementia research. Today, we explore some of the research, how these new technologies are being used, and learn about the possibilities and the challenges of applying machine learning to brain imaging, and what it means for the future of diagnosis and treatment?
Speakers
Dr Prashanth Gouda started his career in Medicine at Rajiv Gandhi University Bangalore and Postgraduate studies at King George Medical University, Lucknow, India. He has served at several reputed medical institutions and research centers in India including KLE University and PGIMER Chandigarh. Currently, he works at the National University of Science and Technology, Muscat, Oman. He has published more than 40 papers in various journals.
Dr Sindhuja Tirumalai Govindarajan is a Postdoctoral Researcher in the Artificial Intelligence in Biomedical Imaging Lab (AIBIL) at University of Pennsylvania. Sindhuja’s research interests include developing and implementing advanced image processing methods, statistical analyses and machine learning to investigate neurodegeneration using multimodal neuroimaging and clinical data.
Programme
The format of the event is a 30 minute livestream where the speakers will each present their thoughts on this topic for 10 minutes each, the host will then ask questions and the livestream will end. The speakers will then join the online chat and interact with the audience, answering questions and giving those who attended a chance to share their thoughts on the topic.
