AI Lunch Talk
Personalized treatment for neurodegenerative disorders through applied deep learning approach in combination with advanced wearables
Parkinson’s is the second largest neurodegenerative disorder and is the fastest growing one. The current golden standard for diagnosing movement-related disorders like Parkinson’s is unfortunately still based on a completely subjective standard scale. This leads to several major consequences for the overall society and especially in the long term with a 47% misdiagnose rate in primary care and often results in a very late diagnosis. We at Paragit Solutions combine the latest hardware wearable technology with applied deep learning to analyze and cluster potential upcoming patients based on their abnormal muscle fluctuations during the day. We believe that applying ML with good, labeled datasets can revolutionize the method for not only early detecting but also applying personalized treatment plans for patients suffering from Parkinson’s. The talk will focus on using ML approaches for identifying abnormal biopotential signals and investigating other AI-based prediction tools.
is the founder, and CEO of Paragit Solutions and is leading the overall product development. Filfil received a master’s degree in electronic engineering from DTU in 2019 and San Jose State University -Silicon Valley. He is the inventor of two patents used in Paragit’s hardware sleeve. Previously co-founded 3 other startups within deep tech and hard tech and have mostly been the lead developer of hardware products.