Researchers at the University of Navarra in Spain, have developed RNACOREX, a new open-source software tool that reveals hidden genetic regulatory networks involved in cancer and helps predict patient survival. Tested across 13 different tumor types using data from The Cancer Genome Atlas (TCGA), RNACOREX identifies key interactions between microRNAs and messenger RNAs—molecular relationships that are often missed by conventional analyses.

Unlike many artificial intelligence models that function as “black boxes,” RNACOREX produces interpretable molecular maps that show how genes interact within tumors. These networks can stratify patients according to survival probability with accuracy comparable to advanced AI approaches, while clearly explaining the biological mechanisms behind the predictions.

Published in PLOS Computational Biology, the study demonstrates how RNACOREX can uncover shared molecular patterns across cancers, highlight individual molecules of biomedical interest, and generate new hypotheses about tumor progression. Freely available via GitHub and PyPI, the tool is designed to be accessible for research laboratories worldwide and represents a step forward in explainable AI for precision oncology.

C. Ola Landgren, M.D., Ph.D., received HealthTree Foundation’s prestigious 2025 Innovation Award for his work in developing CORAL, a new research tool that leverages AI to predict individual outcomes and guide treatment decisions in patients with multiple myeloma.

- University of Leicester engineers have developed a design framework for a magnetic cloak

- Designed to hide objects from magnetic fields, effectively making them ‘invisible’ to magnetic detection

- Allows magnetic cloaks to be created for objects of any shape for the first time

The Lake Tahoe communities of Christmas Valley and Meyers were spared during 2021's Caldor Fire. A UC Davis study reveals which pre-fire fuel treatments worked best to bring about the Christmas Valley "miracle."

Researchers at the University of Pittsburgh Swanson School of Engineering and Pitt’s School of Computing and Information have teamed up with scientists from Ames National Laboratory / Iowa State University, Boeing Research & Technology, and the Naval Nuclear Laboratory to demonstrate the potential of powerful quantum computers to solve real-world engineering problems.

A research team led by Prof. LI Xianfeng from the Dalian Institute of Chemical Physics (DICP) of the Chinese Academy of Sciences (CAS) eveloped a novel bromine-based two-electron transfer reaction system to overcome key limitations of conventional zinc–bromine flow batteries. By introducing amine compounds as bromine scavengers, the team converts corrosive bromine (Br₂) into brominated amines, reducing Br₂ concentration to ultra-low levels (~7 mM). This enables a two-electron redox process that increases energy density while significantly lowering electrolyte corrosivity.