Technical - Partner Event
AI Seminar – Robert Paproski
When
Sept. 2, 2022 - Sept. 2, 2022
12:00 PM – 1:00 PM MST
Where
Online
Online
Presenter: Robert Paproski, Chief Technology Officer, Nanostics Inc.
Title: Lessons Learned Developing Predictive Models for Healthcare
Abstract: Over the past decade, significant interest has developed for using machine learning in medical devices for assisting in the diagnosis and risk prediction of diseases. Many publications have demonstrated promising preliminary results although the path of deploying a predictive model in the clinic is challenging from a technological and regulatory perspective. This presentation will discuss Nanostics’ work developing ClarityDX Prostate, a medical device which predicts clinically significant prostate cancer, including the challenges of obtaining FDA approval. Training predictive models on large, diverse, clinical datasets is vital for developing trustworthy models although obtaining such datasets can be problematic. Potential solutions for working with large clinical datasets will be discussed.
Bio: Robert Paproski is the co-founder and Chief Technology Officer of Nanostics which develops medical devices using machine learning models. Since earning his B.Sc. in Pharmacology and Ph.D. in Oncology at the University of Alberta, Dr. Paproski has developed expertise in laboratory assay development and computational analysis. Within Nanostics, Dr. Paproski oversees machine learning experiments, software development, and regulatory compliance for software products.
The University of Alberta Artificial Intelligence (AI) Seminar is a weekly meeting where researchers (including students, developers, and professors) interested in AI can share their current research. Presenters include local speakers from the University of Alberta and industry as well as other institutions. The seminars discuss a wide range of topics related in any way to Artificial Intelligence, from foundational theoretical work to innovative applications of AI techniques to new fields and problems of interest. Learn more at the AI Seminar website and by subscribing to the mailing list!
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