Clogged arteries are a dangerous health problem. Catching it early can save your life. Here are 10 signs your arteries are blocked.
A team of researchers has developed a “gut-on-chip” (a miniature model of the human intestine on a chip-sized device) capable of reproducing the main features of intestinal inflammation and of predicting the response of melanoma patients to immunotherapy treatment. The results have just been published in Nature Biomedical Engineering.
The interaction between microbiota and immunotherapy has long been known. It is the result of both systemic effects, i.e., the immune response elicited in the entire body by immunotherapy, and local processes, especially in the gut, where most of the bacteria that populate our body live. However, the latter can only be studied in animal models, with all their limitations.
Indeed, there is no clinical reason to subject a patient receiving immunotherapy for melanoma to colonoscopy and colon biopsy. Yet intestinal inflammation is one of the main side effects of this treatment, often forcing the therapy to be discontinued.
Attosecond time-resolved experiments have revealed the increasing importance of electronic correlations in the collective plasmon response as the size of the system decreases to sub-nm scales.
The study, published in the journal Science Advances, was led by the University of Hamburg and DESY as part of a collaboration with Stanford, SLAC National Accelerator Laboratory, Ludwig-Maximilians-Universität München, Northwest Missouri State University, Politecnico di Milano and the Max Planck Institute for the Structure and Dynamics of Matter.
Plasmons are collective electronic excitations that give rise to unique effects in matter. They provide a means of achieving extreme light confinement, enabling groundbreaking applications such as efficient solar energy harvesting, ultrafine sensor technology, and enhanced photocatalysis.
The San Francisco-based startup will use the funding to develop its tools for verifying human and AI identities.
Dr. Ben Allardyce and Ph.D. candidate Mr. Martin Zaki from Deakin’s Institute for Frontier Materials (IFM) have delivered a world first in next-generation materials research. Silkworm silk is a protein-based fiber with mechanical properties rivaling petroleum-derived synthetic fibers, yet spun using a fraction of the energy. Despite decades of research, aspects of natural silkworm spinning remain a mystery.
Published in Advanced Materials, the IFM discovery takes researchers one step closer to solving this mystery by wet-spinning a new class of silk that produces fibers that outperform natural silk.
This research, led by Dr. Allardyce and Mr. Zaki, with expert input from Sheffield University’s Professor Chris Holland, involves sidestepping degumming—a commonplace industrial process—and experimenting with dissolving whole silk fibers.
In Europe alone, approximately 2 million people live with chronic inflammatory bowel diseases (IBD), and their incidence has been rising steadily in recent decades. However, a small proportion of the European population carries a genetic variant that provides natural protection against IBD.
A newly published study in the journal eBioMedicine explores how this protective variant can be leveraged to develop modern therapies, demonstrating the potential of evolutionary medicine in addressing chronic diseases of the modern era.
The study, led by the Institute of Clinical Molecular Biology (IKMB) at Kiel University, brought together researchers from genetics, medicine, and archaeology.
Transparent aluminum oxide (TAlOx), a real material despite its sci-fi name, is incredibly hard and resistant to scratches, making it perfect for protective coatings on electronics, optical sensors, and solar panels. On the sci-fi show Star Trek, it is even used for starship windows and spacefaring aquariums.
Current methods of making TAlOx are expensive and complicated, requiring high-powered lasers, vacuum chambers, or large vats of dangerous acids. That may change thanks to research co-authored by Filipino scientists from the Ateneo de Manila University.
Instead of immersing entire sheets of metal into acidic solutions, the researchers applied microdroplets of acidic solution onto small aluminum surfaces and applied an electric current. Just two volts of electricity—barely more than what’s found in a single AA household flashlight battery—was all that was needed to transform the metal into glass-like TAlOx.
OpenAI CEO Sam Altman has laid out a roadmap for the company’s new AI models, GPT-4.5 and GPT-5.
To test this new system, the team executed what is known as Grover’s search algorithm—first described by Indian-American computer scientist Lov Grover in 1996. This search looks for a particular item in a large, unstructured dataset using superposition and entanglement in parallel. The search algorithm also exhibits a quadratic speedup, meaning a quantum computer can solve a problem with the square root of the input rather than just a linear increase. The authors report that the system achieved a 71 percent success rate.
While operating a successful distributed system is a big step forward for quantum computing, the team reiterates that the engineering challenges remain daunting. However, networking together quantum processors into a distributed network using quantum teleportation provides a small glimmer of light at the end of a long, dark quantum computing development tunnel.
“Scaling up quantum computers remains a formidable technical challenge that will likely require new physics insights as well as intensive engineering effort over the coming years,” David Lucas, principal investigator of the study from Oxford University, said in a press statement. “Our experiment demonstrates that network-distributed quantum information processing is feasible with current technology.”