Researchers at Helmholtz Munich, the Ludwig Maximilians University Munich (LMU) and collaborating institutions have developed an artificial intelligence (AI) framework that maps disease-related changes throughout the entire mouse body at cellular resolution. Using the new platform, called MouseMapper, the researchers uncovered widespread inflammation and previously unrecognized damage to facial sensory nerves caused by obesity. Importantly, they also identified corresponding molecular signatures in human tissue, suggesting that key features of obesity-associated nerve damage are conserved across species. The findings are published today in the journal Nature.

A new study published in Big Earth Data systematically evaluates popular Uncertainty Quantification (UQ) methods and metrics for AI/ML-based geospatial applications, addressing challenges of predictive uncertainty, trustworthiness, and real-time integration in complex Earth system modelling. Using a PM2.5 calibration case study, it demonstrates that Deep Ensembles and Bayesian Neural Networks implemented in TensorFlow achieved the best reliability and calibration performance, while also highlighting framework-specific differences between TensorFlow and PyTorch in geospatial UQ applications.

Three faculty researchers from The University of Texas at San Antonio were celebrated with the inaugural Texas Innovation Award, a new statewide award recognizing leadership in translating academic research into real-world impact.

Scientists have uncovered new evidence that Earth’s continents are continuously reworked deep beneath the surface, offering fresh insight into how continents have evolved over billions of years.