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Bacteria communicate like us, using electrical signalling similar to how neurones fire in the human brain ⚡️🦠⁠ Researchers at University of Warwick and Politecnico di Milano can control bacteria's electrical signalling with the molecule, Ziapin2 which may have implications for antibiotic resistance

65,278 views • 3 years ago •via X (Twitter)

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🚨 SCIENTISTS JUST CREATED A WAY TO KILL ANTIBIOTIC-RESISTANT BACTERIA USING NOTHING BUT LIGHT. Researchers have developed graphene quantum dots that destroy over 99.9% of antibiotic-resistant S. aureus and E. coli when hit with low-intensity blue light without using any antibiotics at all. The dots work by generating reactive oxygen species that rip apart bacterial cells. After chemically modifying them, the team made the dots over 20 times more efficient, allowing them to work at very low concentrations. Because they’re made from graphene instead of toxic heavy metals, they’re also much safer for medical use. Why this matters: • Antibiotic resistance is one of the fastest-growing threats to global health • This offers a completely different weapon light instead of drugs • The dots could be used in wound dressings, creams, gels, and coatings for implants and catheters • Graphene is cheap, stable, and biocompatible The deeper implication: We’re running out of effective antibiotics, and bacteria are evolving faster than we can develop new drugs. This approach flips the script: instead of fighting bacteria with chemicals they can eventually resist, we use light to trigger a physical attack they can’t easily adapt to. If this scales, it could become a powerful new tool in the fight against superbugs especially for wound infections and medical devices, where resistant bacteria are hardest to treat. Sometimes the solution isn’t a better drug. It’s a better way to attack. Would you trust a light-activated treatment over traditional antibiotics if it worked this well? Follow for more frontier nanotechnology and breakthroughs in the fight against antibiotic resistance.

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🚨 SCIENTISTS MAY HAVE FOUND A NEW WAY TO KILL DRUG-RESISTANT BACTERIA. And it doesn't rely on traditional antibiotics. Researchers repurposed a ruthenium-based anticancer drug and activated it using ultrasound deep inside infected tissue. Why this matters: • Antibiotic resistance is one of the fastest-growing threats to global health • Drug-resistant infections could kill more people than cancer by 2050 • Many antibiotics are losing effectiveness • Deep-tissue infections are difficult to target safely • Bacteria continue evolving resistance to conventional treatments The breakthrough: Scientists used a compound called TLD1433, originally developed for cancer therapy. By itself, the drug is largely inactive. But when exposed to focused ultrasound... it generates highly reactive oxygen molecules that attack bacterial DNA and destroy protective biofilms. Unlike antibiotics, the treatment doesn't target a single bacterial pathway. Instead, it creates widespread oxidative damage that bacteria struggle to evolve resistance against. The results were remarkable: • Outperformed conventional antibiotics in laboratory tests • Reduced survival of pneumonia-causing bacteria to just 14% • Broke down oxygen-starved bacterial biofilms • In animal studies, every treated mouse survived • Only 25% of untreated controls survived The deeper implication is enormous: For decades we've searched for new antibiotics. But the future may not be finding stronger drugs. It may be activating existing drugs only where they're needed. By combining chemistry with precisely targeted ultrasound... scientists could attack dangerous infections deep inside the body while minimizing damage to healthy tissue. The real question is: Could sound become one of medicine's most powerful weapons against antibiotic resistance? Follow for more frontier science and technology discoveries.

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🚨 SCIENTISTS JUST BUILT A CHIP THAT CAN SEE, THINK, AND REMEMBER ALL AT THE SAME TIME. And it works more like a biological brain than a traditional computer. Researchers at RMIT University have created a neuromorphic vision chip that mimics the human eye and brain. Unlike conventional systems that capture images and send data to external processors, this chip performs sensing, processing, and memory storage directly where the light hits. The active layer is thousands of times thinner than a human hair. It uses doped indium oxide to detect light, process the information on-chip, and retain what it sees over time without constant electrical refreshing. Why this matters: • It dramatically cuts energy use and latency by eliminating data transfer to separate processors • Enables much faster real-time decision making for autonomous systems • Works more like biological vision than traditional machine vision • Could power the next generation of efficient edge AI in vehicles, robots, and remote sensors The deeper implication: For decades, we’ve built vision systems by bolting cameras, processors, and memory together like separate organs. This chip collapses those functions into one biological-style unit. It’s a step toward machines that don’t just “see” but actually perceive and remember in a more efficient, brain-like way. If scaled successfully, it could become a foundational component for autonomous systems that need to operate intelligently with minimal power and minimal delay. We’re moving from cameras that take pictures to chips that truly see. How do you think neuromorphic vision chips like this will change what’s possible for self-driving cars and autonomous robots? Follow for more frontier neuromorphic computing, AI hardware, and brain-inspired technology.

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