Artificial Intelligence Helps Diagnose Cancer

nodular_mantle_cell_lymphoma_-_high_power_view_-_by_gabriel_caponettiIdentifying cancer based on blood samples can be surprisingly challenging. Often, doctors add chemicals to a sample that can make the cancerous cells visible, but that makes the sample impossible to use in other tests. Other techniques identify cancerous cells based on their abnormal structure, but those take more time (those cells are often rare in a given sample) and can misidentify healthy misshapen cells as cancerous.

Now researchers at University of California Los Angeles have developed a technique that combines a special microscope with an artificial intelligence algorithm to non-destructively identify cancer in a sample. Not only can that reduce the time and energy needed to diagnose cancer (and, thus, allow doctors to treat it more quickly), but could also be an asset for the field of precision medicine.

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About Peter Coffaro 1134 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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