Bentham Science releases groundbreaking reference on organoid technology for next-generation biomedical research
Book Announcement
Updates every hour. Last Updated: 21-Aug-2025 01:11 ET (21-Aug-2025 05:11 GMT/UTC)
Bentham Science has announced the release of its newest title Organoid Technology: Disease Modelling, Drug Discovery, and Personalized Medicine, a pioneering study that captures the transformative role of organoid systems in advancing human health research.
Researchers have created what could be called “skin in a syringe”. The gel containing live cells can be 3D printed into a skin transplant, as shown in a study conducted on mice. This technology may lead to new ways to treat burns and severe wounds. The study was led from the Center for Disaster Medicine and Traumatology and Linköping University in Sweden, and has been published in Advanced Healthcare Materials.
Bentham Science announces the release of an essential reference for researchers, educators, and industry professionals engaged in drug discovery and experimental pharmacology. Zebrafish Models for Experimental Pharmacology: A Handbook presents a clear, practical, and methodologically rich approach to harnessing the Zebrafish as a powerful model organism in biomedical research.
Wuhan, China – A landmark study published today in National Science Review introduces "Pore Science and Engineering" as a transformative paradigm for designing porous materials. Led by Prof. Bao-Lian Su (Wuhan University of Technology) and Prof. Ming-Yuan He (East China Normal University), the research systematically classifies two evolutionary stages of porous materials while proposing quantitative design principles for future applications in energy, catalysis, and environmental remediation.
Researchers from Shenyang University of Chemical Technology explored the application potential of the Catal-GPT in catalyst design, which was built upon the qwen2 large language model, proposing a new paradigm for AI-driven catalyst development. The results showed that the qwen2 model could provide the complete preparation workflows and the detailed optimization suggestions through conversational interaction. Future work aims for cross-system adaptability to transform catalyst discovery from trial-and-error to precision targeting.