Real-time nanoscale imaging shows that how much of a protein is present does not necessarily reveal how accessible it is to antibodies
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Updates every hour. Last Updated: 19-Oct-2026 18:16 ET (19-Oct-2026 22:16 GMT/UTC)
The American Association for the Advancement of Science (AAAS) is pleased to announce its partnership with Shanghai Jiao Tong University (SJTU) to publish Cog as a Science Partner Journal.
Motion correction in live imaging has long posed a critical challenge, as the rhythmic pulsations caused by breathing, heartbeat, and limb movements induce complex rigid and non-rigid deformations that severely compromise high-fidelity, long-term monitoring of large-scale neuronal populations. Now, through the development of an adaptive motion correction framework, a research team from Zhejiang University and Hangzhou City University has successfully overcome the accuracy and computational bottlenecks of traditional algorithms. The discovery is published in the journal PhotoniX.
A world-first study by Australian researchers compared three mRNA-LNP vaccine platforms in human blood samples, generating findings that could revolutionise cancer treatment and vaccine design.
Japan's first comprehensive AI law puts "promotion" rather than regulation at its core. A new study in Risk Sciences traces this choice to Japan's distinctive social conditions – low AI adoption, low public trust, an ageing population and ageing corporate IT systems – and finds that promotional measures have boosted individual use and corporate trials, but have not yet driven deep integration of AI inside organisations.
- Endowed Chair Professor Buhm Soon Park of the Graduate School of Science and Technology Policy and an international research team propose a definition of the Anthropocene and directions for its application
- The team proposes 1952 as the starting point, focusing on the rapid changes to the Earth since the mid-20th century
- The concept is expected to serve as a common language connecting the Earth sciences, the humanities and social sciences, and policy
Researchers have developed a new tool that pairs machine learning with advanced DNA sequencing to find regions that are crucial for gene regulation. Their new tool, called FIRE, could help researchers pinpoint the DNA changes behind hereditary diseases—a key step toward genetic medicines—and provides an unprecedented look at previously mysterious regions of the genome.