NeuroInsight Launch Webcast: Frontiers at the Intersection of Data Analytics and Neurology
Channel: NeuroInsight
Date: 2021-11-12

Exploring how how data analytics, A.I. and deep learning algorithms may help us tackle challenges in neurological health. (November 9th, 2021)

About this event
Our scientists have made great leaps in developing artificial intelligence – machines and programmes that can process data like humans.

Here in Ireland, 1 in 4 people - over 1.1 million people - are living with some kind of neurological condition. How can data, AI and advanced algorithms be used to understand, detect and find new ways to diagnose, treat and manage these conditions?

Hosted by: Marie Boran (Columnist with the Irish Times newspaper, Smurfit Business School Technology Reporter of the Year 2016)
Speakers:
Prof. Alan Smeaton, Dublin City University: Service Dogs, Wearables and Seizures
Dr. Derek Corrigan, RCSI University of Medical and Heath Sciences: Data analytics on and for Electronic health records
Prof. Claire Gormley, University College Dublin: Advanced statistical methods applied to health data
Prof. Deirdre Kilbane, Waterford Institute of Technology: AI applied to RNA sequencing for disease biomarkers
Prof. Tomas Ward, Dublin City University: Using AI outside the clinic, enabling better understanding and treatment of neurological conditions
Prof. Gianpiero Cavalleri, RCSI University of Medicine and Health Sciences: Artificial intelligence as a tool for faster, more accurate genetic diagnosis

This futurology session, aimed at the general interested public and taking place as part of SFI Science Week 2021, marks the launch of a new research programme. NeuroInsight, led by the RCSI University of Medicine and Health Sciences, will fund the recruitment and support of early career researchers working across the national FutureNeuro SFI Research Centre for Chronic and Rare Neurological Diseases and the Insight SFI Research Centre for Data Analytics.

This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under the Marie Skłodowska-Curie grant agreement No. 101034252