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Fluorescent imaging tracks metabolism of cells in real time

Cornell researchers have designed a new, faster form of two-photon fluorescence imaging for observing cell metabolism in real time, a method that could enable quicker screening of new therapeutic treatments. The findings were published Sept. 4 in Science Advances. The co-lead

Q&A: How does AI affect our engagement at work?

AI is being integrated into our work at a growing rate. Andreas Bergqvist, a Ph.D. student at the Department of Information Technology, has teamed up with colleagues to investigate how AI, automation and robotization affect work engagement.