POREX UNIVERSITY
Using Applied Machine Learning to Decrease Product Development Timelines
On-Demand Tech Snack Webinar
With: Shuyu Tian
Product Development Engineer – Diagnostics Porex
Why watch this on-demand webinar?
In this quick 7-minute webinar, engineers working on in-vitro diagnostics development can learn how Porex optimizes material solutions for sample collection and preparation. Each assay is unique, and material performance has a huge impact diagnostic sensitivity and specificity of the assay. Many of the challenges surrounding testing accuracy and availability – including absorption rate, wicking speed, and filtration efficiency – can be solved using porous polymer materials that are strategically designed to your application requirements. Join the term to discover how our development engineers achieve tailored performance, along with how they are using AI to further optimize solutions.
In this webinar, you will:
- Learn how Porex addresses various material properties that impact diagnostic sensitivity and specificity of the assay.
- Explore the use of AI to further optimize product performance during solution development.
Hosted By:
Shuyu Tian
Product Development Engineer – Diagnostics Porex
Shuyu Tian works as a Product Development Engineer at Porex. Shuyu earned his Mechanical Engineering and Economics degrees at the University of Tulsa, before continuing his education with a Masters in Chemical Engineering at Virginia Commonwealth University.
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Register, and the link to the on-demand webinar will be sent to you