A patch of microneedles, each less than 1 mm in length, painlessly samples fluid from the skin and quickly reports glucose levels using a paper sensor with a color scale

Researchers at The University of Tokyo and Fudan University use confocal microscopy to observe polymorphic crystallization in unprecedented detail

Researchers from The University of Tokyo discover that the diameter of fiber-shaped cell-laden hydrogel transplants determines their success in the treatment of type 1 diabetes mellitus

Researchers from The University of Tokyo create a new integrated 3D-circuit architecture for AI applications with spiraling stacks of memory modules, which may help lead to specialized machine-learning hardware that uses much less electricity

Scientists at The University of Tokyo use machine learning to predict the excited electronic states of materials—research that can accelerate both the characterization of materials as well as the formulation of new useful compounds

Researchers from The University of Tokyo revealed a key structural feature of glass-forming liquids that may help solve a decades-long physics debate

Researchers at The University of Tokyo (Japan), University of Bordeaux (France) and at Ikerbasque (Spain) have developed a system for integrating artificial chip-based “neurons” with real neurons using QR-code-like patterns of light to facilitate communication

Researchers at The University of Tokyo and Yokohama City University create elastic fluorescent crystals that reversibly change color when bent or deformed. This work may lead to the development of durable mechanical sensors that require little or no external power

The University of Tokyo researchers develop a new physical model incorporating the density dependence of viscosity to understand the interactions of flowing viscous fluids with pipe walls, with promise to improve efficiency of industrial processes such as oil transportation.

The University of Tokyo researchers develop a machine-learning algorithm for detecting atomically thin 2D materials, including graphene, from a microscope image in a fraction of a second—which may accelerate the industrial-scale production of next-generation electronics