An autonomous platform uses machine learning and patterned light to detect and terminate cardiac arrhythmias in real time without electrical shocks.
EPFL researchers have developed a light-based method that can produce proteins that switch states, respond to signals, and even compute, using light and the cell cycle.
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Light-guided ‘optovolution’ creates proteins that flip states on cue
A peer-reviewed study published in Cell in March 2026 introduces “optovolution,” an in vivo directed-evolution system that uses light to breed proteins capable of switching between active and inactive ...
A research team led by Sahand Jamal Rahi at EPFL’s Laboratory of the Physics of Biological Systems has introduced a new ...
During the acquisition of correct rejection response, rankings of functional connection separated for cortical and subcortical regions, which is predictive of the peak timing of visual information ...
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This manuscript describing the phenotypes associated with loss and gain of RVCL-S documents important findings that have practical implications. Although the data and methods are solid and support ...
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