Enhancing breast cancer diagnosis and treatment

Health - Jul 19

Addressing problems with diagnosing and treating breast cancer, scientists at EPFL have developed EMBER, a tool that integrates breast cancer transcriptomic data from multiple databases. EMBER can improve precision oncology by accurately predicting molecular subtypes and therapy responses.

Health - Jul 18

Improving HIV treatment for children and adolescents - the right way


Globally, around 2.6 million children and adolescents are currently living with HIV, the majority of them in Africa.

Environment - Jul 18

Bridging the ’Valley of Death’ in carbon capture


Developed at EPFL, Heriot-Watt University, and ETH Zurich, PrISMa is a new platform that uses advanced simulations and machine learning to streamline carbon capture technologies, by taking into account the perspectives of diverse stakeholders early in the research process.

Environment - Jul 18

Predicting the toxicity of chemicals with AI


Researchers at Eawag and the Swiss Data Science Center have trained AI algorithms with a comprehensive ecotoxicological dataset. Now their machine learning models can predict how toxic chemicals are to fish.

Life Sciences - Jul 17

’Paleolithic’ diets are not without risks

Life Sciences

A study highlights the toxicity risks of high-protein diets, which can lead to severe neurological disorders.