Researchers at University of Galway have developed a way of bioprinting tissues that change shape as a result of cell-generated forces, in the same way that it happens in biological tissues during organ development. The breakthrough science focused on replicating heart tissues, bringing research closer to generating functional, bioprinted organs, which would have broad applications in disease modelling, drug screening and regenerative medicine.

Oral mucositis is a painful condition in which the mucous membranes inside the mouth become inflamed. To help alleviate this, researchers at the Tokyo University of Science (TUS) have developed a mucoadhesive film using xyloglucan and antioxidant-rich green tea extract containing catechins. With its strong adhesive properties, the film directly adheres to the affected area. Made from accessible ingredients, this solution could provide localized relief and improve the quality of life for patients.

With the intensifying global demand for power, cost-effective clean energy technologies are now required more than ever. Hydrovoltaic (HV) systems have recently gained significant attention for clean power generation that utilizes the interaction of water and nanostructured materials to generate electricity. Now, researchers have developed a novel dual-function HV device that also functions as a fire sensor, demonstrating, long-term viability, self-reliance, and fast response. This innovation opens new avenues for sustainable small-scale energy generation applications.

Summary

- BioChatter is an open-source Python framework for employing large language models (LLMs) in biomedical research. 

- BioChatter can support the creation of dedicated LLM-driven solutions for biomedical use cases.

- AI solutions like those built using BioChatter can streamline workflows for non-computational researchers, advancing areas such as personalised medicine and drug discovery.

Researchers at CeMM and the Medical University of Vienna have developed an innovative microscopy-based approach that could predict the best approved drug to treat individual rheumatoid arthritis patients using samples of their blood. Published in the Lancet group journal EBioMedicine (DOI: 10.1016/j.ebiom.2024.105522), the study demonstrates the feasibility of precision medicine to significantly enhance treatments for rheumatoid arthritis and likely other autoimmune diseases.