Albert Einstein College of Medicine has announced the launch of a new Data Science Institute, a dynamic, state-of-the-art resource that will strengthen researchers’ ability to harness vast amounts of data to drive biomedical breakthroughs and innovations in scientific discovery and patient care. Mimi Kim, Sc.D., professor and head of the division of biostatistics in the department of epidemiology & population health and associate director of the Harold and Muriel Block Institute for Clinical and Translational Research at Einstein and Montefiore, has been named the institute’s inaugural director.

JMIR Publications invites submissions to a new theme issue titled “AI Applications in Biomedical Engineering” in its open access journal JMIR Biomedical Engineering

In a leap forward for miniaturized electronics, researchers have unveiled a groundbreaking method to fabricate high-aspect-ratio 3D microstructures with sub-10 micron resolution—tackling one of the most persistent challenges in radio-frequency (RF) device engineering.

Investigators of the Vall d’Hebron Institute of Oncology’s (VHIO) Radiomics Group, led by Raquel Perez-Lopez, have developed SALSA (System for Automatic Liver tumor Segmentation And detection), a fully automated deep learning-driven tool for the precise and completely automated detection and monitoring of liver tumors (hepatocellular carcinoma). Results of this work have been published as an open access article in Cell Reports Medicine.

Researchers from Aalborg University are using artificial intelligence to analyze horses' facial expressions in order to investigate when they are stressed or in pain. The goal is to lay the foundation for new tools that can improve animal welfare.