Prof. Euisik Yoon and his team developed a new machine learning tool that enables large-scale testing of cancer drug effectiveness with microfluidics.

Prof. Euisik Yoon and his team developed a new machine learning tool that enables large-scale testing of cancer drug effectiveness with microfluidics.
The CSE faculty include Prof. David Fouhey, Prof. Danai Koutra, Prof. Rada Mihalcea, and Research Scientist Veronica Perez-Rosas.
Comparing graphs the team’s tool is up to an order of magnitude faster than competitive baselines.
A new method could replace trial and error drug development.
The post How an AI solution can design new tuberculosis drug regimens appeared first on Engineering Research News.
Thin film transistors stacked on top of a state-of-the-art silicon chip could help shrink electronics while improving performance.
The post Beyond Moore’s Law: taking transistor arrays into the third dimension appeared first on Engineering Research News.
The proposal provides a chip-level safeguard against sensitive data being transmitted after it’s accessed.
“Siloxanes” could be key to deriving bolstered energy production from biogas.
The post How everyday products are supercharging methane, and what that means. appeared first on Engineering Research News.
Researchers identified a vulnerability that allows a microphone to ‘unwittingly listen to light as if it were sound’
The post A laser pointer could hack your voice-controlled virtual assistant appeared first on Engineering Research News.
A Q&A with J. Alex Halderman, who co-founded the nonprofit organization.
U-M researchers examined how a person’s perception of safety in an autonomous vehicle was influenced by its “personality” traits.
The post What humans want, in an automated car appeared first on Engineering Research News.