Researchers have developed a cost-effective, AI-powered system for diagnosing nystagmus—a condition causing involuntary eye movements—using smartphone videos and cloud-based analysis. Unlike traditional methods like VNG, which are expensive and cumbersome, this deep learning model uses real-time facial landmark tracking to assess eye movement metrics remotely. A pilot study with 20 participants showed its accuracy closely matched traditional devices, highlighting its potential for telehealth use and broader clinical application.

One-pot recipes make preparing meals quick and easy. And one-pot 3D-printing could do the same for additive manufacturing. Now, researchers publishing in ACS Central Science have demonstrated a new resin that simultaneously creates solid objects and dissolvable structural supports, depending on what type of light the resin is exposed to. The approach could increase the applications for 3D-printed objects, including tissue engineering scaffolds, joints and hinges.

The development of ferroptosis-based nanotherapeutics is generally limited by poor penetration depth into tumors and potential systemic toxicity. 

In a recent issue of International Journal of Extreme Manufacturing, Tu and coworkers from Southern Medical University addressed these challenges by proposing the design and fabrication of self-propelled ferroptosis nanoinducers, composed of only two endogenous proteins with natural bioactivity.

This work offers a strategy for constructing a biocompatible cancer treatment paradigm with enhanced diffusion to achieve deeper penetration into tumor tissues, centered around the concept of ferroptosis.

The entry of quantum computers into society is currently hindered by their sensitivity to disturbances in the environment. Researchers from Chalmers University of Technology in Sweden, and Aalto University and the University of Helsinki in Finland, now present a new type of exotic quantum material, and a method that uses magnetism to create stability. This breakthrough can make quantum computers significantly more resilient – paving the way for them to be robust enough to tackle quantum calculations in practice.

The new prediction method was tested with satellite remote sensing and species distribution data over 20 years in Andalusia, making possible the development of more dynamic and integrative conservation area prioritisation indicators