Machine learning algorithms could predict breast cancer treatment responses

By | September 22, 2015

Researchers at Western University developed machine learning algorithms – a branch of artificial intelligence – that crunch genetic data to determine the most likely response to two common breast cancer treatments and that might allow more…

Source: www.gizmag.com

Author: craig keefner

Craig Allen Keefner is an industry analyst, content strategist, and longtime authority on self-service kiosks, digital signage, unattended payment systems, and interactive technology. He manages content and industry strategy for Kiosk Industry and The Industry Group, with a focus on kiosk software, hardware-software integration, accessibility, payment compliance, healthcare kiosks, restaurant self-service, and emerging AI automation. Craig has covered the self-service and kiosk industry since the 1990s, tracking how public-facing terminals move from concept to field deployment. His work combines industry research, vendor analysis, operator conversations, standards tracking, trade show coverage, and practical experience with the real-world constraints of kiosk deployments. https://www.linkedin.com/in/kiosk