Zayden King

How Deep Learning Can Help Predict Symptomatic Progression in Neurological Diseases Like Huntington's Disease.

My name is Zayden and I have a CAG of 43. I was passed down the gene by my mother Kelli, and have lost aunts, my grandfather, and now, soon, my mother to Huntington’s Disease. I am a computer programmer who works primarily in Python 3 to develop AI and Deep Learning models with Tensorflow, SciKitLearn, Numpy, and Pandas. I have 3 years of programming experience, with one year in AI and Deep Learning. Why should you care? Because I am helping develop projects with the University of Toronto that could help predict symptomatic progression in terminal neurological diseases like Huntington's Disease, Parkinson's, Alzheimer's, and ALS using Deep Learning models such as Recurrent Neural Networks to process speech patterns in Huntington's Disease patients that could help occupational and speech therapists better understand the link between progression of Huntington's Disease and speech difficulties, and hopefully even lead to better treatment and the prolonging the ability to speak in more advanced stages of the disease. I am also using standard Artificial Neural Network techniques such as Multiple Linear Regression, with multiple dense layers to process and predict symptomatic progression via patient protein levels in CSF (Cerebro-Spinal Fluid). It is definitely exciting and we are hoping to contribute something really awesome to neuroscience.