Nanomedicines often acquire a protein corona in the bloodstream before reaching the brain. A new Perspective in Science Bulletin argues that this evolving layer should be engineered as a programmable interface that can guide recognition, transcytosis and release across the blood-brain barrier.

Stanford researchers developed an AI tool that creates novel burger recipes optimized for individual preferences. The implications for science go well beyond food.

Histopathology is a cornerstone of clinical diagnosis, especially in cancer care. However, conventional chemical staining is often time-consuming and labor-intensive and may consume precious tissue samples. A cross-disciplinary research team at The Hong Kong University of Science and Technology (HKUST) has developed a novel generative AI (GenAI) framework that can produce high-fidelity virtually stained images even when training image pairs are imperfectly aligned, paving the way for faster and more tissue-saving histopathology workflows. The study titled “Generative AI for misalignment-resistant virtual staining to accelerate histopathology workflows” was recently published in the international journal Nature Communications. 

Researchers led by Professors GU Hongcang and ZHANG Fan at the Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, have developed BCRInsight, an advanced AI language model capable of decoding the complex "fingerprints" of B-cell receptors (BCRs).

Infected wounds pose a significant medical challenge, often leading to delayed healing and complications due to bacterial biofilms and excessive inflammation. A key characteristic of these infection sites is an acidic microenvironment. Scientists have now engineered a smart nanoplatform that uses this acidity as a trigger to release a potent combination of therapeutic agents directly at the wound site.

In an article appearing in the journal Biomedical Analysis, researchers from Sun Yat-sen University describe the development of a novel nanocomposite, SH@ZIF-8/AgNPs. This platform consists of a porous carrier called a zeolitic imidazolate framework-8 (ZIF-8), which is loaded with shikonin (SH), a natural compound with anti-inflammatory and antioxidant properties. The surface of this carrier is then decorated with silver nanoparticles (AgNPs), which are well-known for their broad-spectrum antibacterial activity. The design enables the encapsulation of a high concentration of shikonin within a stable structure.

New research published in Scientific Reports and led by University of Hawai‘i (UH) at Mānoa atmospheric scientists revealed that future climate conditions may reduce the availability of one of the cheapest and most energy-efficient approaches to cooling data centers.