Model solves key challenge in combining mismatched geographic health data

Combining data across mismatched maps is a key challenge in global health and environmental research. A powerful modeling approach has been developed to enable faster and more accurate integration of spatially misaligned datasets, including air pollution prediction and disease mapping. The study is published in the journal Stochastic Environmental Research and Risk Assessment.

A chip with natural blood vessels: Researchers create miniature organ models in a rapid and reproducible manner

In biomedical research, so-called organs-on-a-chip, also referred to as microphysiological systems, are becoming increasingly important: by cultivating tissue structures in precisely controlled microfluidic chips, it is possible to conduct research much more accurately than in experiments involving living humans or animals. These systems can be used to investigate the effects of a new drug and to better understand the interaction between different organs to grasp the systemic response.