Machine learning is playing an ever-increasing role in biomedical research. Scientists at the Technical University of Munich (TUM) have now developed a new method of using molecular data to extract subtypes of illnesses. In the future, this method can help to support the study of larger patient groups.

Physical and engineering adaptation measures are effective in the face of events such as flooding. However, some of these are too specific to tackle other extreme events – such as heat waves or pluvial floods – which are expected in the Metropolitan City of Venice. Preparing the Venice lagoon for upcoming challenges means improving the entire system’s resilience by combining different risk management initiatives, including flexible measures that are effective against a wide range of climate hazards. A study by the CMCC Foundation and Ca’Foscari University Venice.

A record-breaking true random number generator can improve data encryption and provide better security for sensitive digital data

An international team of astronomers used a database combining observations from the best telescopes in the world, including the Subaru Telescope, to detect the signal from the active supermassive black holes of dying galaxies in the early Universe. The appearance of these active supermassive black holes correlates with changes in the host galaxy, suggesting that a black hole could have far reaching effects on the evolution of its host galaxy.

Artificial Intelligence (AI) can track the health of coral reefs by learning the "song of the reef", new research shows.