Innovations in core-shell nanoparticles advancing drug delivery and precision medicine
Peer-Reviewed Publication
Updates every hour. Last Updated: 3-Sep-2025 06:11 ET (3-Sep-2025 10:11 GMT/UTC)
Identifying therapeutic gene targets is essential for advancing personalized medicine and addressing the genetic basis of diseases. However, traditional experimental methods for discovering these targets are costly and time-consuming. While deep learning has shown promise in identifying biomarker genes, it has struggled to identify therapeutic genes. To address this challenge, researchers have developed an innovative method, the Hypergraph Interactive Transformer, which accurately and quickly identifies therapeutic gene targets using hypergraphs and attention-based learning.
This article presents a method for preparing stable and reproducible fatty acid (FA) stock solutions, which are essential for studying lipid signaling, metabolism, and lipid droplets (LDs). The authors developed a technique using ultrasonication and ethanol to create FA micelles, which can be used in both in vivo and in vitro studies. The method eliminates the need for albumin, avoids FA degradation, and allows for precise control over FA concentrations. The authors also compare their method with existing techniques and demonstrate its effectiveness in various biological studies, including the investigation of LD dynamics and lipid metabolism.
Ancient frog relatives survived the aftermath of the largest mass extinction of species by feeding on freshwater prey that evaded terrestrial predators, University of Bristol academics have found.