Quantum interference of sodium nanoparticles, which can each contain more than 7,000 atoms at masses greater than 170,000 Da, is demonstrated.
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Different gametogenesis states uniquely impact longevity in Caenorhabditis elegans
In Caenorhabditis elegans, ablation of germline stem cells leads to extended lifespan and increased fat storage. Here the authors show that disrupting distinct gametogenesis programs and germline progression in C. elegans triggers molecular responses that affect fat metabolism, stress resilience, and lifespan.
A viable therapeutic target pancreatic ductal adenocarcinoma
This issue’s cover features work by Adrian M. Seifert & team on Nectin-4’s connection to poor outcome and immune suppression in patients with PDAC, and targeting Nectin-4 with the antibody-drug conjugate enfortumab vedotin inhibited tumor growth in PDAC organoids:
The cover image shows high Nectin-4 immunohistochemistry staining (brown) in human PDAC.
1Department of Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
2National Center for Tumor Diseases (NCT), Dresden, Germany.
3German Cancer Research Center (DKFZ), Heidelberg, Germany.
Stress-testing AI vision systems: Rethinking how adversarial images are generated
Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in image-related tasks. These systems have found applications in medical diagnosis, automated data processing, computer vision, and various forms of industrial automation, to name a few.
As reliance on AI models grows, so does the need to test them thoroughly using adversarial examples. Simply put, adversarial examples are images that have been strategically modified with noise to trick an AI into making a mistake. Understanding adversarial image generation techniques is essential for identifying vulnerabilities in DNNs and for developing more secure, reliable systems.
GNSS-only method delivers stable positioning for autonomous vehicles in urban areas
Global navigation satellite systems (GNSS) are vital for positioning autonomous vehicles, buses, drones, and outdoor robots. Yet its accuracy often degrades in dense urban areas due to signal blockage and reflections.
Now, researchers have developed a GNSS-only method that delivers stable, accurate positioning without relying on fragile carrier-phase ambiguity resolution. Tested across six challenging urban scenarios, the approach consistently outperformed existing methods, enabling safer and more reliable autonomous navigation.
Scientists Say They’ve Made a Pill That Could Let You Live to 150
They’ve been promising eternal youth since the first snake-oil salesman bottled spring water. Now a Chinese biotech startup says it might actually have the chemistry right. Lonvi Biosciences claims its new pill could stretch human life to 150 years.
The Shenzhen-based company, backed by China’s booming longevity sector, says it has developed a pill that could theoretically extend human life to 150 years. The company’s formula targets so-called “zombie cells”—aging cells that refuse to die, triggering inflammation and age-related disease. “This is not just another pill. This is the Holy Grail,” said CEO Ip Zhu, describing the capsule as a breakthrough that could make extreme longevity a reality.
The drug’s key ingredient, procyanidin C1 (PCC1), is derived from grape seeds and has shown lifespan extension in lab animals. In Lonvi’s own mouse trials, the treatment reportedly increased overall lifespan by 9.4 percent and extended life by 64 percent from the first day of treatment. “Living to 150 is definitely realistic,” said Chief Technology Officer Lyu Qinghua in an interview with The New York Times. “In a few years, this will be the reality.”
Overlooked molecule points to new treatments for drug resistant fungal infections
Fungal infections kill millions of people each year, and modern medicine is struggling to keep up. But researchers at McMaster University have identified a molecule that may help turn the tide—butyrolactolA, a chemical compound that targets a deadly, disease-causing fungi called Cryptococcus neoformans.
Infections caused by Cryptococcus are extremely dangerous. The pathogen, which can cause pneumonia-like symptoms, is notoriously drug-resistant, and it often preys on people with weakened immune systems, like cancer patients or those living with HIV. And the same can be said about other fungal pathogens, like Candida auris or Aspergillus fumigatus—both of which, like Cryptococcus, have been declared priority pathogens by the World Health Organization.
Despite the threat, though, doctors have only three treatment options for fungal infections.
With some help from AI, your next move can be predicted
AI might know where you’re going before you do. Researchers at Northeastern University used large language models, the kind of advanced artificial intelligence normally designed to process and generate language, to predict human movement.
How RHYTHM predicts human movement RHYTHM, their innovative tool, “can revolutionize the forecasting of human movements,” forecasting “where you’re going to be in the next 30 minutes or the next 25 hours,” said Ryan Wang, an associate professor and vice chair of research in civil and environmental engineering at Northeastern.
The hope is that RHYTHM will improve domains like transportation and traffic planning to make our lives easier, but in extreme cases, RHYTHM could even be deployed to respond to natural disasters, highway accidents and terrorist attacks.