How VR technology is changing the game for Alzheimer’s disease
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Updates every hour. Last Updated: 20-Aug-2025 13:10 ET (20-Aug-2025 17:10 GMT/UTC)
A research group led by Gian Gaetano Tartaglia, Principal Investigator at the Italian Institute of Technology (IIT), developed a machine-learning algorithm to study the behavior of proteins within cells and to predict their ability to trigger neurodegenerative diseases such as Amyotrophic Lateral Sclerosis (ALS), Parkinson's, and Alzheimer's. The algorithm, called catGRANULE 2.0 ROBOT, helps identify molecular targets for further researches and therapies; it is described in a recent article published in the journal Genome Biology.
A modified manufacturing process for electric vehicle batteries, developed by University of Michigan engineers, could enable high ranges and fast charging in cold weather, solving problems that are turning potential EV buyers away.
MIT oceanographers discovered big fish like tuna and swordfish get a large fraction of their food from the ocean’s twilight zone — a cold, dark layer about half a mile below the surface.
In Physics of Fluids, researchers present gum tragacanth as a plant-based alternative to gelatin for creating edible films. The team developed films containing different concentrations of gelatin and gum tragacanth and monitored their survivability in water and saline solutions. They found the optimal combination of gum tragacanth and gelatin for maintaining the gelatin’s gel-like behavior was a 3-to-1 ratio of the two, respectively. However, gum tragacanth’s inclusion leads to a more porous film, making it prone to penetration by water or saline solutions. Though gum tragacanth cannot replace gelatin completely just yet, even a partial replacement is a step forward.
A new study published this week in Nature Nanotechnology demonstrates significantly enhanced stability of Majorana zero modes (MZMs) in engineered quantum systems. This research, conducted by a team from the University of Oxford, Delft University of Technology, Eindhoven University of Technology, and Quantum Machines represents a major step towards fault-tolerant quantum computing.