Researchers at University of Tsukuba have used electron spin resonance technology to observe the state and movement of the charge inside Ruddlesden-Popper tin -based perovskite solar cells, an emerging technology for next-generation solar cells. They have discovered a mechanism that improves the performance of these cells compared with conventional three-dimensional tin-based perovskite solar cells. Their findings signal a great leap forward in the development of high-efficiency, long-lasting solar cells.

A global team of scientists has made a groundbreaking discovery of a new skeletal tissue known as “lipocartilage,” offering immense potential for regenerative medicine and tissue engineering.   

Among the researchers contributing to this work is Dr. Richard Prince, an assistant professor at East Tennessee State University with a Ph.D. in biomedical engineering.  

Published in Science, the study reveals that lipocartilage, found in the ears, nose and throat of mammals, is composed of fat-filled cells called lipochondrocytes. These cells provide super-stable internal support, allowing the tissue to remain both soft and elastic – similar to the qualities of bubble wrap.  

A collaboration between the Ragon Institute and MIT’s Jameel Clinic has led to the development of MUNIS, a deep learning tool that significantly enhances T cell epitope prediction, accelerating vaccine development for infectious diseases. Published in Nature Machine Intelligence, the research combines AI and immunology expertise to improve the speed and accuracy of epitope identification—an essential step in vaccine and immunotherapy design. MUNIS outperformed existing models using a dataset of over 650,000 HLA ligands and validated its accuracy against experimental assays. This milestone, supported by the Mark and Lisa Schwartz AI/ML Initiative, demonstrates the potential of AI to revolutionize immunology and could extend to cancer immunotherapy and autoimmune research.