An MSU-led team found promising therapeutics for two diseases that currently lack effective treatment, demonstrating how gene-focused machine learning can accelerate drug discovery. Published in Cell, the research has broad implications for a new approach to discovering novel drugs for other diseases. The team has released the code and launched a web-based portal allowing other researchers to explore the capabilities of this approach.

Bacteria reveal themselves through unique sounds: a breakthrough for rapid diagnostics

Scientists from TU Delft, SoundCell and RHMDC (the laboratory at the Reinier de Graaf hospital) have discovered that different bacterial species produce their own characteristic sounds. Building on an earlier development from the same team, they have now shown that bacteria can be identified and their antibiotic susceptibility determined simultaneously, based solely on their sound. This combined approach delivers results within hours instead of days, offering a major step forward in the diagnosis and treatment of bacterial infections. The study is published in ACS Sensors.