New clues to how lymphatic malformations develop
Peer-Reviewed Publication
Updates every hour. Last Updated: 20-Oct-2026 01:16 ET (20-Oct-2026 05:16 GMT/UTC)
Researchers led by the University of Osaka analyzed lymphatic malformations from 34 patients and found shared molecular features regardless of whether PIK3CA mutations were detected. The PI3K/AKT/mTOR pathway was activated in malformed lymphatic vessels, while spatial transcriptomics highlighted NFATC1, associated with the calcineurin-NFAT pathway, as a possible contributor to the disease pathogenesis. The findings deepen the understanding of lymphatic malformations and may help refine existing treatments and identify new therapeutic targets.
Saitama University research team has developed a defect-state engineering strategy that transforms waste polyamide into carbon quantum dots with continuously tunable photoluminescence. By systematically changing surface chemistry through oxidation and boron-, nitrogen-, sulfur-, and phosphorus-containing modifications, the researchers shifted emission from ultraviolet at 308 nm to yellow-green at 552 nm using the same polymer precursor, while establishing a quantitative framework for understanding how engineered defect states control light emission.
Distinguished Professor Chihaya Adachi of Kyushu University has been named a 2026 Clarivate Citation Laureate for his pioneering contributions to thermally activated delayed fluorescence (TADF), a breakthrough approach that enabled highly efficient OLEDs without rare metals and transformed organic electronics.
“I work with data, but what truly motivates me is knowing that it will ultimately be of use to someone. I’m not particularly good at taking on a leadership role, so I prefer to work alongside others, ” says Professor Shinichiroh Yokota from the Graduate School of Nursing. With a background as a nurse in clinical practice, Professor Yokota now applies informatics methods to nursing and medical data—using tools such as machine learning on electronic medical records (EMRs) to predict patient falls and the risk of bedsores. We spoke with him about how AI is transforming the world of nursing.