AI for breast cancer detection + Typing with your brain for ALS patients

The third edition is coming up as part of the Dutch Data Science Week, more AI in healthcare!

1) AI in Breast Imaging
by Albert Gubern-Mérida, Head of Research and Development at ScreenPoint.
Albert will share about the past, present and (near) future. An overview of AI applied to Breast Imaging and its clinical applications.

2) From Brains to Bits: how to build a brain computer interface
by Jason Farquhar, Chief machine learning architect at Mindaffect and Assistant Professor AI at Radboud University
Jason will talk about how Mindaffect manages to build a system that can type using your brain signals. Currently clinical trials are performed with ALS patients to help them with their communication. He will try to bring the device so you can experience for yourself!

· 17:45 Walk-in with food and drinks
· 18:30 Start talks with a small break
· 21:00 Drinks

This meetup is hosted by GoDataDriven/Medicx.ai at Wibautstraat 202, Amsterdam.

Bios:
1) Albert Gubern-Mérida obtained his joint Ph.D. degree in the field of medical imaging at the Diagnostic Image Analysis Group (DIAG) of the Radboud University Medical Center (Nijmegen, the Netherlands) and the University of Girona (Girona, Spain). His research focused on automated analysis of breast MRI, by developing image analysis and machine learning algorithms for breast cancer detection. As a post-doctoral researcher at DIAG, he expanded his research interest to other breast imaging modalities (mammography, digital breast tomosynthesis, and automated 3D breast ultrasound). In 2016, Dr. Gubern-Mérida joined ScreenPoint Medical, where he is currently the Head of Research and Development, leading the continuous evolution of the AI technology within the company.

2) Jason Farquhar is an assistant professor at the Artificial Intelligence department of the Radboud University Nijmegen and affiliated with the dondersBCI lab in the Donders institute for Brain, Cognition and Behaviour, Center for Cognition. After his Masters degree(s) in Aerospace systems engineering (1996) and Artificial Intelligence (1998) he obtained a PhD in Bounded Rationality for real-time search agents in 2004. Since then his research has focused on the development of signal analysis and machine learning techniques to improve the performance, robustness and usability of brain-computer interfaces. Recently he has taken on the role of Chief Machine Learning Architect at the dondersBCIs spin-out company Mindaffect aimed at bringing BCI technology into patients homes.