IXICO PLC (LON:IXI), the AI data analytics company delivering insights in neuroscience, announced that it is scheduled to present a scientific poster on enhancing imaging analysis accuracy for Huntington's Disease (HD) by comparing two types of Artificial Intelligence (AI) techniques.
The group said the presentation will be seen at the CHDI Foundation 15th Annual 2020 Huntington's Disease Therapeutics Conference held from 24-27 February, 2020 in Palm Springs, California, USA.
It noted that the poster presentation, entitled ‘Fully automatic AI segmentation of subcortical regions: comparison of ATLAS and deep-learning-based approaches’, compares and contrasts two AI approaches for anatomical segmentation - the first, an established atlas-based manifold learning technique, IXICO's proprietary LEAP technology; the second, a deep-learning model based on a 3D convolutional neural network (CNN).
Dr Robin Wolz, senior vice president, Science & Innovation at IXICO commented: "Huntington's Disease continues to be a focus for IXICO in its efforts to provide pioneering technologies to support the advancement of effective treatments for rare neurological diseases.
“Our research in imaging analytics will provide an insight into the best methods for monitoring both the progression of the disease as well as the potential effect of interventional treatments."
IXICO said it will be attending/presenting at a number of other upcoming conferences:
- Neurodegenerative Drug Development Summit: 25-27 February 2020, Hyatt Regency Boston, Boston, USA
- ARCA Global Conference: 2-3 March 2020, Sheraton Denver Downtown, Denver, USA
- The Wearable Technology Show: 10-11 March 2020, The Business Design Centre, London, UK
- ADPD Focus Meeting: 2-5 April 2020, Austria Center, Vienna, Austria
- SCA Global Conference: 6-7 April 2020: German Center for Neurodegenerative Diseases, Bonn, Germany
- BioTrinity 2020: 28-29 April 2020, venues, 155 Bishopsgate, London, UK
- 17th Annual Anglonordic Life Science Conference: 23-24 June 2020, County Hall, London, UK