Storm in a laser beam: Physicists create “light hurricanes” that could transport huge amounts of data
Peer-Reviewed Publication
Updates every hour. Last Updated: 1-May-2025 11:08 ET (1-May-2025 15:08 GMT/UTC)
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.
Mature egg cells, or oocytes, are essential for fertilization in assisted reproductive technologies. However, some ‘denuded’ oocytes, or those lacking the protective granulosa cell layer, fail to mature. Now, in a new study by researchers at Shinshu University, the team has developed a method to culture mature oocytes from these denuded oocytes in the lab. This innovative approach holds promise for overcoming significant challenges in reproductive science, marking a major advancement in fertility research.
The application process for the 12th Heidelberg Laureate Forum has begun!
Young researchers in mathematics and computer science from all over the world can apply for one of the 200 exclusive spots to participate in the Heidelberg Laureate Forum (HLF), an annual networking conference. The HLF offers all accepted young researchers the unique opportunity to interact with the laureates of the most prestigious prizes in the fields of mathematics and computer science. Traditionally, the recipients of the Abel Prize, the ACM A.M. Turing Award, the ACM Prize in Computing, the Fields Medal, the IMU Abacus Medal and the Nevanlinna Prize engage in cross-generational scientific dialogue with young researchers in Heidelberg, Germany.
An innovative planar spoof plasmonic neural network (SPNN) platform capable of directly detecting and processing terahertz (THz) electromagnetic signals has been unveiled by researchers at City University of Hong Kong (CityUHK) and Southeast University in Nanjing.An innovative planar spoof plasmonic neural network (SPNN) platform capable of directly detecting and processing terahertz (THz) electromagnetic signals has been unveiled by researchers at City University of Hong Kong (CityUHK) and Southeast University in Nanjing.
POSTECH Professor Chulhong Kim's team develops high-speed rotational scanning PACT system for monitoring whole-body biodynamic.
Two quantum information theorists at the University of Sydney have solved a decades-old problem that will free up quantum computing power.