Gene fusions are vital biomarkers for tumor diagnosis and drug development, with precise detection becoming increasingly important. This review explores the links between gene fusions and common tumors, systematically evaluating detection technologies like fluorescence in situ hybridization (FISH), polymerase chain reaction (PCR), immunohistochemistry (IHC), electrochemiluminescence (ECL), and next-generation sequencing (NGS). FISH is the gold standard for DNA-level rearrangements, while PCR and NGS are widely used, with PCR confirming known fusions and NGS offering comprehensive genome-wide detection. Bioinformatic tools like STAR-Fusion, FusionCatcher, and Arriba are assessed for diagnostic accuracy. The review highlights how artificial intelligence (AI), particularly deep learning (DL) technologies like convolutional neural networks (CNNs) and recurrent neural networks (RNNs), is transforming gene fusion research by accurately detecting and annotating genes from genomic data, eliminating biases. Finally, we present an overview of advanced technologies for gene fusion analysis, emphasizing their potential to uncover unknown gene fusions.

A research team has introduced a cutting-edge deep learning model, AAUConvNeXt, for precise and efficient detection of rice lodging, a critical agricultural challenge that impacts yield prediction and disaster management.

POSTECH Professor Chulhong Kim's team develops high-speed rotational scanning PACT system for monitoring whole-body biodynamic.

In a study led by Naim Bautista of the University of Nebraska-Lincoln, highland deer mice and their lowland cousins ventured on a simulated seven-week ascent to 6,000 meters. By tracking how the mice responded to cold stress and progressively lower oxygen levels, the study tested whether deer mice have a generalized ability to acclimatize or whether some mice have evolved adaptations to local conditions. The highland mice were better able to regulate their body temperature, an indication that mice living at higher altitudes have evolved distinct ways to acclimatize to low oxygen conditions. 

A Branco Weiss Fellowship – Society in Science has been awarded to Dr Gergana Daskalova. The fellowship funds Daskalova’s research project “Biodiversity change amidst disappearing human traditions and changing socio-economics”. She joins the Department of Conservation Biology at the University of Göttingen to work together with Professor Johannes Kamp. The five-year fellowship, which is worth over €530,000, will enable Daskalova to investigate the ecological and human fingerprints of land abandonment. Considering the question from both a local and a global perspective, Daskalova’s research will reveal what happens to nature when people leave, and how to make the best of the land left behind.