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First microlasers capable of detecting individual molecules and ions could one day aid diagnosis

Scientists have created the first microlasers capable of detecting individual molecules and even single atomic ions, a breakthrough that could significantly advance early disease diagnosis and molecular-scale medical testing. Researchers at the University of Exeter’s Living Systems Institute have published their work in Nature Photonics. The paper opens up new possibilities for microlaser biosensing technology, including “lab-on-a-chip” technology capable of instant medical testing and diagnosis.

Microlasers are tiny glass beads measuring around just 0.1 mm (the width of a human hair) to 0.01 mm (the length of a single bacterium). With a central cavity that acts as a tiny mirror, they emit and bounce light in a circular motion around the bead. This circular path of trapped light is known as whispering gallery modes (WGM) laser technology.

Light continuously circulates around the sphere’s inner boundary, enabling the device to detect extremely small disturbances on its surface. Previous research has shown that such microlasers can even be inserted into living cells, acting as optical barcodes to track cellular movement inside organisms.

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Fermilab physicists really care about the mass of the W boson. They spent nearly a decade recording collisions in the Tevatron collider and another decade analysing the data. This culminated in the April 7 announcement that this obscure particle’s mass seems to be heavier than expected. So why do we care? Because understanding why this particle even has mass was one of the most important breakthroughs in our understanding of the subatomic world. And because measuring its precise mass either doubles down on our current understanding or reveals a path to an even deeper knowledge. The FermiLab discrepancy is a tantalizing hint of the latter.

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Milkweed evolves ‘mind-blowing’ tactic to fight monarchs

Milkweed has found a new strategy in its epic evolutionary battle with monarch butterflies: upgrading its toxins to outmaneuver the monarch’s resistance. In a new study, published in the Proceedings of the National Academy of Sciences, researchers find that adding a small structural element containing nitrogen and sulfur to milkweed’s toxins circumvents monarchs’ ability to block them. The research sheds light on an underappreciated evolutionary tactic for plants: that not only can they increase their levels of toxicity, they can also structurally innovate to create new classes or subclasses of toxins.

“This structural innovation is a new axis for defining chemical toxins in the natural world,” said co-author Christophe Duplais, associate professor of entomology at Cornell AgriTech, in the College of Agriculture and Life Sciences (CALS). “This very simple modification makes a huge difference in terms of its ecological effect, because now this molecule is toxic to the monarch.”

Milkweed and monarchs have coevolved over millions of years, each building defenses and counter-defenses. One such defense is the monarchs’ ability to block milkweed’s toxins, called cardenolides, from binding to their target enzyme in the monarch’s cells. Monarchs have even evolved to sequester the toxins in their wings, to poison birds that peck at them.

SoulMate LLM accelerator evolves according to the specific characteristics of the user

While large language models (LLMs) like ChatGPT are adept at answering countless questions, they often remain unaware of a user’s minor habits or previous conversational contexts. This is why AI, despite being deeply integrated into our daily lives, can still feel like a “stranger.” Overcoming these limitations, researchers at KAIST, led by Professor Hoi-Jun Yoo from the Graduate School of AI Semiconductors, have developed the world’s first AI semiconductor, dubbed “SoulMate,” which learns and adapts to a user’s speech style, preferences, and emotions in real-time—becoming a true “digital soulmate.”

This technology is being hailed as a core semiconductor breakthrough that will accelerate the era of “hyper-personalized AI”—moving beyond “AI for everyone” to an AI that learns and responds to an individual’s unique conversational style and preferences. The work is published in the proceedings of the 2026 IEEE International Solid-State Circuits Conference (ISSCC).

Bacterial strain breaks decades-old bottleneck in chemotherapy drug manufacturing

An international team of researchers has achieved a breakthrough in the production of doxorubicin, a vital chemotherapy agent. The study identifies and resolves molecular “bottlenecks” that have limited the natural production of this drug for over 50 years. The research is published in Nature Communications.

Doxorubicin is a chemotherapy drug that was first approved for medical use in the 1970s. It is a cornerstone in treating various cancers, including breast cancer, bladder cancer, lymphomas and carcinomas, with over one million patients receiving the treatment annually. However, bacteria naturally produce this important drug very inefficiently. Consequently, the pharmaceutical industry has relied on expensive, multi-step semi-synthetic processes.

“We have uncovered several independent factors that limit the formation of doxorubicin,” says researcher Keith Yamada, Ph.D., from the University of Turku in Finland, a lead scientist on the study.

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