Deep learning predicts drug-drug and drug-food interactions

Drug interactions, including drug-drug interactions (DDIs) and drug-food constituent interactions (DFIs), can trigger unexpected pharmacological effects, including adverse drug events (ADEs), with causal mechanisms often ...

Researchers build an enzyme-discovering AI

While E. coli is one of the most studied organisms, the function of 30% of proteins that make up E. coli has not yet been clearly revealed. For this, an artificial intelligence was used to discover 464 types of enzymes from ...

Play games with no latency

One of the most challenging issues for game players looks to be resolved soon with the introduction of a zero-latency gaming environment. A KAIST team developed a technology that helps game players maintain zero-latency performance. ...

KAIST's HUBO ready for DARPA's robotics challenge trials

The Humanoid Robot Research Center (HUBO Lab, http://hubolab.kaist.ac.kr) at the Korea Advanced Institute of Science and Technology (KAIST) and Rainbow Co., a spin-off venture company of the university, unveiled a new model ...

Simulations open a new way to reverse cell aging

Research findings by a KAIST team provide insight into the complex mechanism of cellular senescence and present a potential therapeutic strategy for reducing age-related diseases associated with the accumulation of senescent ...

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