UCLA researchers combine 3D printing with machine learning to develop medical sensors

ucla-researchers-use-3d-printing-to-develop-medical-sensors-that-make-use-of-machine-learning-3The technique of machine learning, where an algorithm makes predictions based on the data it processes without being explicitly programmed, is an important and wide-reaching area of computing. So the prospect of merging machine learning with 3D printing, as can be seen in a new project by researchers at UCLA, is definitely an exciting one. Using a 3D printed prototype detector with a sensor that can be modified by machine learning techniques, the researchers have demonstrated a new, more efficient way to detect tiny items such as cancer biomarkers, viruses, and proteins. This could improve the treatment and diagnosis of serious infections and diseases.

By David | 3ders.org

Image Credit: Advanced Science News

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About Peter Coffaro 1104 Articles
A growth-driven and strategic executive, Peter Coffaro commands more than 20 years of progressive management success within the medical device industry. As a District Sales Manager for Stryker Orthopaedics, Peter was responsible for managing and directing a regional sales force to achieve sales and profit goals within the Rocky Mountain region. Previously, he was the Director of Sales & Marketing for Amp Orthopedics. In this role, Peter was responsible for planning, developing, and leading all sales and marketing initiatives. Peter is a former orthopedic distributor in the Pacific Northwest. He has also worked with DePuy Orthopaedics as well as Zimmer, and held positions in sales, sales training, and sales management. Peter has an extensive background in organizational development, business development, sales management, negotiating and P&L management. Peter holds a B.S. degree in Biology from Northern Illinois University.

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