University of Victoria. This town found clean energy deep inside old coal mines. ScienceDaily, May 2026.

The town of Cumberland in British Columbia was known for coal mining for decades. Now, beneath the community lies a vast network of abandoned tunnels that may help power a cleaner future.

Researchers are studying whether water trapped inside the old mines can be used as a geothermal energy source. Deep underground, temperatures remain relatively stable throughout the year. The mine water stays warmer than outside air in the winter, while it remains cooler in the summer. Using heat pumps, this underground water can help heat and cool buildings above ground.

Cumberland hopes to transform these mines into a shared community resource. The project could reduce carbon emissions, lower heating costs, and support future development.

Scientists describe the underground mine system as a giant natural heat exchanger. Because the tunnels stretch beneath much of the town, the system could eventually support municipal buildings, affordable housing projects, and even local industries that require stable temperatures, such as greenhouses and food processing facilities.

Coal once powered industries around the world, yet it also contributed to pollution and climate change. Now, the same underground structures left behind by coal extraction may help reduce dependence on fossil fuels. Around the world, researchers are increasingly exploring ways to reuse abandoned industrial spaces for sustainable technologies.

Turning Algae into Smart Microrobots

Víctor de la Asunción-Nadal et al. Light-switchable swarming of biohybrid microrobots. Sci. Adv., May 2026.

A new type of “biohybrid microrobot” made from living algae can organize themselves into controllable swarms using light. Instead of building tiny robots entirely from synthetic materials, researchers used the natural swimming abilities of the green microalga Chlamydomonas reinhardtii and combined them with engineered light-control systems. These microorganisms naturally swim and respond to light, a behavior known as phototaxis. They discovered that different colors of light could make the algae either gather together into organized swarms or spread apart again.

Under blue light, the algae move upward and begin sticking to one another, forming dense clusters and swarm-like structures. Under red light, the algae return to a free-swimming state and disperse. By shining light through custom masks, the researchers could create swarms in almost any pattern they wanted, including stars, arrows, geometric shapes, and even maps of Earth. The scientists demonstrated that they could repeatedly assemble and disperse swarms, move them across surfaces, split one swarm into multiple smaller swarms, merge separate swarms together, and continuously morph the swarm into new shapes without fully dispersing it first.

The team also made use of AI by having it analyze images of wounds and generated custom light patterns matching the wound shape. The algae microrobots, loaded with biodegradable drug-carrying nanoparticles, could then gather onto medical tape and later be released onto the wound using light. This new research is a step toward future smart drug delivery and wound-healing systems.

Can Virtual Reality Help Fight Frailty?

Tian, X., Zhou, Y., Zhang, R. et al. The application potential of virtual reality technology in managing elderly frailty: a meta-analysis. Sci Rep, May 2026.

Frailty is described as a common aging-related medical syndrome marked by weakness, reduced resilience, balance problems, slower movement, and increased vulnerability to falls and hospitalization. Since traditional exercise programs can become repetitive and discouraging for older adults, researchers explored whether VR could provide a more engaging alternative.  

The researchers reviewed 9 randomized controlled trials involving 634 elderly participants with frailty or pre-frailty. The study used VR-based exercise systems such as Nintendo Wii Fit, Xbox Kinect, and other interactive “exergaming” programs designed to combine movement with immersive visual feedback. The findings showed that VR-based training significantly improved overall frailty status in older adults compared to standard exercise or usual care. Older adults using VR programs performed better on tests such as standing on one leg and lower-body strength exercises compared to those receiving standard care alone.

Unlike repetitive exercise routines, VR provide interactive environments that encourage movement through games, challenges, and real-time feedback. This may increase motivation and participation, two factors that are especially important in long-term rehabilitation.

However, the studies found little clear improvement in walking, speed, grip strength, fear of falling, or cognitive performance. Most of these trials were relatively small and lasted only a few weeks. Still, the technology points toward an important shift in elderly care. Rather than viewing rehabilitation as a passive medical routine, VR transforms it into an active and immersive experience.  

Li, T., Wang, Z., Kyba, C.C.M. et al. Satellite imagery reveals increasing volatility in human night-time activity. Nature, April 2026.

From space, Earth at night appears steady with cities glowing like fixed constellations. For decades, scientists treated these lights as a simple story of growth: more light meant more development. But a recent study reveals something more subtle. The night is not steady. It pulses.

Using daily satellite images collected between 2014 and 2022, researchers found that artificial light at night is constantly shifting. Places do not simply brighten over time. They brighten, dim, and brighten again. On average, each changing location experienced several distinct shifts in less than a decade. What seemed like a smooth upward trend is, in fact, a restless pattern of activity.

These fluctuations reflect the rhythms of human life. A sudden blackout after a hurricane, a city expanding its suburbs, a factory shutting down, or a new policy reducing energy use all leave their mark on the night. Even global events appear in this silent language of light. During the early months of the COVID-19 pandemic, large regions dimmed noticeably as movement and industry slowed. In parts of Europe, recent energy-saving measures have also darkened the night.

Not all dimming signals decline. In some places, it points to efficiency and restraint; in others, to instability and hardship. Light, then, becomes a kind of indicator—not just of growth, but of change itself.

Seen this way, the illuminated Earth resembles a living system. Its glow rises and falls, responding to forces both planned and unforeseen. What we once read as a static map of human presence is better understood as a dynamic record of our collective life—one that flickers, adapts, and reveals, moment by moment, the changing state of our world.

A New Way to Clean Microplastics with Algae

Susie Dai. Can algae help pull microplastics out of our water supply? Science Friday, April 2026.

Microplastics have been found in oceans, soil, human blood, and even in a cave sealed off for decades. This is alarming not only due to where these particles are found but also because of how silently they disperse, passing through filters and reaching areas we believed were safe. And yet, in the midst of this quiet spread, researchers are beginning to find equally subtle ways to respond.

Scientists in Missouri have been experimenting with a modified algae that exhibits unusual behavior. Both the algae and microplastics repel water, and this shared property causes them to cling to one another. When they do, the particles clump together and sink, making them far easier to remove. Controlled experiments demonstrated that this process can eliminate over 90% of microplastics from water, particularly the smallest pieces, which are typically the hardest to filter out.

The goal is not to release the algae freely into rivers or lakes. Instead, researchers propose using it within controlled environments, like wastewater treatment plants, where conditions can be precisely managed. In these settings, it can efficiently collect fragments that might otherwise slip through current filters unnoticed.

What makes the story more compelling is that this was not the initial goal. The algae were originally researched as a possible fuel source. Their water-cleaning ability only became apparent when scientists started exploring other potential uses, asking what else they might accomplish.

The idea is quite fitting. The issue of microplastics is a widespread, persistent problem often hidden from view. It may be that its solutions will arrive the same way: not in a single sweeping fix, but in small, patient discoveries that gather what has been scattered and begin, piece by piece, to bring it back into view.

Ancient Fossil Egg Sheds Light on Mammal Origins

University of the Witwatersrand. Mammal ancestors laid eggs, and this 250-million-year-old fossil finally proves it. ScienceDaily, April 2026.

A 250-million-year-old fossil egg containing a Lystrosaurus embryo has provided the first direct evidence that early mammal ancestors laid eggs. This discovery resolves a long-standing scientific question about how mammalian reproduction evolved.

Lystrosaurus, a plant-eating ancestor of mammals, became one of the dominant species after the End-Permian mass extinction, Earth’s most devastating extinction event. Its success in such harsh conditions—extreme heat, drought, and ecological collapse—has long intrigued scientists.

The fossil, first found in 2008, was only recently confirmed as an egg using advanced synchrotron X-ray imaging, which revealed a curled embryo inside. The embryo’s undeveloped jaw showed it had not yet hatched.

Researchers believe Lystrosaurus laid large, soft-shelled eggs, which explains why such fossils are extremely rare. Soft shells decay easily and seldom fossilize. These large eggs likely contained abundant nutrients, allowing the young to develop fully before hatching and survive without parental care.

The study suggests that Lystrosaurus hatchlings were precocial—born relatively mature and able to feed themselves immediately. This, combined with rapid growth and early reproduction, likely helped the species thrive in unstable post-extinction environments.

Overall, the discovery not only confirms that mammal ancestors reproduced by laying eggs but also highlights how reproductive strategies contributed to survival during extreme global crises, offering insight into resilience in both ancient and modern ecosystems.

The Forgotten History of Sleeping in Two Shifts

Zaria Gorvett. The forgotten medieval habit of ‘two sleeps’. BBC, January 2022

For much of human history, people didn’t sleep through the night in one long stretch. Instead, they slept in two parts: an early “first sleep,” followed by a quiet period of wakefulness around midnight, and then a second sleep until morning. This pattern was so common that people once referred to it casually in court records, letters, and literature.

Historian Roger Ekirch uncovered this forgotten habit while studying life before the Industrial Revolution. He found that the time between sleeps, often called “the watch,” was used for prayer, conversation, chores, or simply reflection. People didn’t see this midnight waking as a problem; it was a normal part of nightly life.

The two-sleep pattern likely existed because nights were long and dark before artificial lighting. People went to bed earlier and woke naturally in the middle of the night. Modern experiments show that when people live without electric light, their sleep often returns to this older rhythm on its own.

Biphasic sleep began to disappear in the 19th century as gas lamps, electric lights, and factory schedules pushed bedtimes later while mornings stayed the same. Sleep became compressed into a single block, and the old pattern faded from memory. Understanding this history may help explain why waking up at night doesn’t always mean something is wrong. For most of human history, it was simply how people slept.

How Our Neighborhoods Shape Our Health

Noaeen, M., Rostami, A., Ghanem, I. et al. Mapping neighbourhood-level drivers of type 2 diabetes for precision public health using predictive and causal machine learning. Sci Rep, January 2026.

Type 2 diabetes is often discussed as a disease of individual lifestyle (diet, exercise, and genetics). But a new study from the University of Toronto reveals a deeper truth: where you live may be just as important as how you live.

Using artificial intelligence and advanced causal modeling, researchers analyzed data from over 1,100 neighborhoods across the Greater Toronto Area. Instead of focusing on individuals, they examined neighborhood-level features such as obesity rates, physical activity, income, age structure, mental health, and work stress. Their goal was not only to predict where diabetes is most common, but also to understand which factors actually drive that risk.

The results were striking. The AI models were able to identify high-diabetes neighborhoods with more than 95% accuracy. The strongest predictors were familiar – high obesity, physical inactivity, and older populations, but the causal analysis uncovered something more surprising: mental health was one of the most powerful protective factors. Neighborhoods with better average mental well-being had substantially lower diabetes rates, even after accounting for income, age, and lifestyle.

Work stress and smoking, on the other hand, were found to raise diabetes risk, highlighting the biological toll of chronic psychological strain. Interestingly, neighborhoods with higher proportions of recent immigrants and visible minorities tended to have lower diabetes prevalence, reflecting the well-known “healthy immigrant effect” and the protective role of social cohesion and cultural practices.

The study suggests a new vision for public health: instead of treating diabetes only in clinics, we should also treat it in communities, through mental-health support, stress reduction, walkable streets, and social infrastructure. In the age of data science, healing may begin not just with the patient, but with the neighborhood.

The Hidden Effects of Living in Space

Wijdan Al-Ahmadi et al., Spaceflight alters molecular networks linked to diverse human diseases in a single cellular model. Sci Adv, January 2026.

When astronauts return from space, many report strange changes. Their hearts beat differently. Their sleep is disturbed. Their vision becomes blurry. Their muscles weaken. For years, scientists have known about these effects, but not fully understood why they happen. A new study gives us a powerful clue by showing what happens inside human cells when they are exposed to space.

In this study, researchers sent human immune cells to the International Space Station and compared them with the same cells grown on Earth. They then examined how thousands of genes behaved in each environment. Nearly one third of all active genes changed their activity in space. This shows that spaceflight does not just cause small damage. It reshapes the way cells function.

Some of the biggest changes were seen in genes linked to the heart and muscles. These genes help control the electrical signals that keep the heart beating normally. In space, they became much more active. On Earth, the same genes are linked to irregular heartbeats, which may help explain why astronauts sometimes develop heart problems during long missions.

The study also found changes in genes that control sleep and the body clock, including those linked to melatonin. This matches the sleep problems many astronauts experience. Genes involved in vision and other senses were also affected, especially those connected to vitamin A and eyesight, helping explain vision changes in space. At the same time, genes that repair damaged DNA were reduced, likely because of cosmic radiation, making cells more vulnerable to long term damage.

These findings suggest that space activates the same biological pathways that cause heart disease, nerve problems, and aging on Earth, but in a much shorter time. By studying life in orbit, scientists may learn not only how to protect astronauts, but also how to better understand illness here on Earth.

A More Human Way to Train AI

Xiang, A., Andrews, J.T.A., Bourke, R.L. et al. Fair human-centric image dataset for ethical AI benchmarking. Nature, November 2025

A new study introduces FHIBE, the Fair Human-Centric Image Benchmark, the first large-scale, publicly available image dataset designed with ethical AI development in mind. Unlike most existing computer-vision datasets, which are often scraped from the internet without consent, FHIBE contains more than 10,000 images from nearly 2,000 volunteers across 81 countries, all collected with informed consent, privacy protection, and fair compensation.

FHIBE stands out for its global diversity and its exceptionally rich, self-reported demographic details, including age, pronouns, ancestry, and skin tone. Each image is also paired with detailed pixel-level annotations, environmental conditions, and camera metadata. This makes FHIBE the most comprehensive tool to date for evaluating bias in human-focused AI systems—from face detection and pose estimation to visual question answering.

When researchers tested popular computer-vision models on FHIBE, they uncovered both well-known and newly identified biases. For example, models tended to perform better on younger, lighter-skinned individuals and struggled with older adults, darker skin tones, baldness, and even hairstyle variability. These insights show why ethically sourced, diverse datasets are essential: they allow scientists to detect subtle biases that would otherwise remain hidden. FHIBE not only raises the bar for fairness benchmarks but also offers a practical roadmap for how to responsibly build the next generation of AI datasets.

A New Way to Sense Smell—Without Smelling at All

Halina B. Stanley et al. Substitution of human olfaction by the trigeminal system. Sci. Adv., November 2025

Scientists have developed a first-of-its-kind device that helps people who have lost their sense of smell “sense” odors again, without actually restoring real smell. The device works by pairing an electronic nose (a sensor that detects odor molecules in the air) with a tiny electrical stimulator placed inside the nose.

Instead of activating the damaged olfactory system, the device stimulates the trigeminal nerve, another nerve inside the nose that normally senses tingling, irritation, or temperature from things like menthol or chili peppers. The question was: Can the brain learn to use these trigeminal signals as a substitute for smell?

Across four experiments with over 60 volunteers (including people with complete and partial smell loss), the researchers found that participants could reliably detect when an odor was present based on the electrical stimulation pattern. Some could also tell the difference between different stimulation patterns, though this was harder and improved when participants were trained first. The ability to detect the signal did not depend on having a working sense of smell, meaning even anosmic individuals could use the system.

The device does not recreate real smells. But it shows, for the first time, that it may be possible to give patients a practical way to recognize odor categories, like food vs. danger odors, through another nerve pathway. This could be an early step toward a future “smell prosthesis” for people living with permanent smell loss.

Can Positive Memories Help Heal the Brain?

Steve Ramirez. Memories change. But can we change them on purpose? Science Friday, November 2025.

Neuroscientist Dr. Steve Ramirez explains that memories are not fixed snapshots of the past; they are dynamic reconstructions that change slightly each time we recall them. Instead of functioning like recordings, memories behave more like malleable building blocks, which the brain continually updates. This flexibility may even help us imagine the future by combining elements of past experiences.

New research shows that scientists can activate specific memories in mice by stimulating the exact brain cells involved in those experiences. In mice that show depression-like behavior, artificially turning on their positive memories can lift their mood and reduce symptoms, sometimes even long-term. This suggests that memory manipulation could one day support new treatments for mental health conditions such as depression and anxiety.

Humans already experience a natural form of this effect. Simply recalling a joyful or painful memory can change our biology within seconds, altering mood, heart rate, stress hormones, and attention. This natural responsiveness points to the possibility of developing therapies that intentionally harness positive memories.

Future treatments could also target traumatic memories. Instead of erasing them, scientists may be able to reduce their emotional weight, offering new hope for people living with PTSD while preserving the factual memory.

Looking ahead, the field is moving toward a deeper map of memory in the brain, identifying the specific cells involved in certain memories and finding ways to support or restore them. Such work could eventually help treat memory loss in disorders like Alzheimer’s.

How Digital Scans Are Helping Kids Get Faster Dental Care

Schulz-Weidner, N., Schraml, E.M., Frodermann, T. et al. Comparison of dental findings between dentists and pediatricians using intraoral scan-based teledentistry in children. Scientific Reports, September 2025.

A new study in Germany shows that “teledentistry” (using digital mouth scans to check children’s teeth) can be just as effective as a traditional in-person exam. Researchers wanted to test whether pediatricians, who are usually not dental specialists, could spot dental problems using intraoral scans (a special camera that creates a 3D image of teeth) and decide when kids need treatment. The study included 70 participants aged 4-17. Each child had a regular dental check-up and then had their mouth scanned with an intraoral scan. These scans were later reviewed by a pediatrician, who received basic training on children’s dental health, and a dentist. The researchers compared what they found to the in-person dental exams and found promising results. Both the pediatrician and the dentist were able to identify cavities, tooth defects, and urgent dental needs almost as well as the in-person checkups. Pediatricians were nearly as accurate as dentists in deciding whether a child needed quick dental care. However, dentists were still better at spotting detailed issues like the exact type of tooth fillings, but this did not affect treatment decisions in most cases. The results show that there is no significant difference between digital teledental findings and in-person exams. This study proves that with some basic training, pediatricians can play a key role in early dental screening, especially in areas where dentists are hard to reach. Non-dental professionals can now be more involved in early oral health assessments. Using this method means fewer missed problems, faster treatment, and healthier smiles for children.

What Lies Beneath The Outer Layers Of A Star?

Schulze, Steve, Avishay Gal-Yam, Luc Dessart, Adam A. Miller, Stan E. Woosley, Yi Yang, Mattia Bulla, et al. “Extremely Stripped Supernova Reveals a Silicon and Sulfur Formation Site.” Nature News, August 20, 2025.

Astronomers captured a rare glimpse inside a star as it exploded, revealing what lies beneath its outer layers. Dr. Steve Schulze and his team observed a supernova, SN 2021-yfj, unlike any seen before. Schulze explains that stars are like giant cosmic onions: hydrogen on the outside, then helium, carbon, oxygen, silicon, and finally the iron core. Normally, we only see the outer layers during a star’s death, but this star had already shed nearly all of its shells before it exploded. That allowed scientists to look much deeper into its structure and confirm long-standing predictions that the inner core has an oxygen-silicon shell.

One of the most surprising findings was the presence of helium. Helium is an element that should have been burned away at a much earlier stage of the star’s life. This discovery has left scientists puzzled and is challenging existing models of stellar evolution and supernova explosions.

Researchers believe the star was originally extremely massive—about 60 times the mass of our Sun—and likely lost much of its material over thousands of years through a process called “pair-instability,” where repeated pulses of energy blew away outer layers before the final explosion.

Schulze says the next step is to find more stars like this to understand whether 2021-YFJ represents a new class of supernovae. This discovery may even lead to a “gold rush” as astronomers search for other missing links in the life cycles of stars.

How Sleep Cycles Impact Our Health

Minami, Y., Kishi, A. & Ueda, H.R. Preventive circadian medicine: improving health with sleep checkups. npj Biological Timing and Sleep, September 2025

A new study investigates how a single night of shifting the sleep-wake cycle impacts glucose metabolism, insulin sensitivity, and hunger signals in healthy young adults. Sixteen men and women took part in a highly controlled lab experiment. They followed a sleep schedule for several nights before the test. On the test day, they shifted their sleep-wake cycle by 12 hours to simulate a night shift. They stayed awake all night and slept during the day. Results showed significantly higher blood glucose levels and a reduction in insulin sensitivity, despite participants having identical food intake. The test also caused ghrelin (hunger hormone) to increase, leading to stronger feelings of hunger, while leptin (satiety hormone) decreased, which could lead to eating more than usual. Participants also reported stronger cravings for high-calorie foods like sweets and snacks. Even a single night of circadian misalignment is enough to cause noticeable metabolic disturbances. These hormonal changes may lead to overeating, which, over time, could result in weight gain and insulin resistance if the circadian disruption becomes chronic. This study helps explain why night shift workers and those with irregular sleep patterns have higher rates of obesity, diabetes, and metabolic diseases. Staying awake all night and sleeping during the day even once significantly disrupts glucose metabolism and boosts hunger signals. Repeating this cycle regularly increases the risk of obesity and diabetes. The findings highlight the importance of stable sleep-wake cycles for maintaining metabolic health and suggest that strategies to reduce circadian disruption could benefit public health.

Laser Light in Biomaterials?

Rachel Berkowitz. “Peacock feathers can be lasers,” Science, July 2025.

With their impressive long tail feathers and eye-like markings, peacocks have a unique place in the animal kingdom. A recent study has revealed that these amazing birds have a secret: they can emit beams of laser light. According to this study published in Scientific Reports in July 2025, there are tiny reflective structures in these feathers which can amplify light into a laser beam.

Lasers form when the medium’s electrons emit photons and the light is further amplified into a coherent beam in a reflective cavity. Researchers say what they have found in peacock feathers is the “first example of a laser cavity” in the animal kingdom. Physicist Nathan Dawson from Florida Polytechnic University and his colleagues conducted their study on the ordered microstructures within the feathers which produce vivid colors as they reflect light at specific frequencies. Their goal was to see if these microstructures could also function as a laser cavity. To do that, they dyed and then energized the feathers with soft pulses of light.

What they found was not visible to the naked eye, but with lab instruments they detected beams of yellow-green laser light originating from the eye-like markings on the feathers at two distinct wavelengths. Surprisingly, the laser light emitted from differently colored parts of these markings appeared at the same wavelength. According to Dawson, the probability of this is “like rolling two 100-sided dice and always getting 74 from one die and 83 from the other.”

Further research that looks for laser light in biomaterials, according to Dawson, can have ramifications, for instance in medicine, and if put safely into the human body help us with biosensing, medical imaging, and therapeutics.

Reading Each Other’s Minds?

Daryl Austin. “Is ‘twin telepathy’ real? Here’s what scientists say.” National Geographic, August 2025

Twins, a 1988 comedy film, features Arnold Schwarzenegger (6’ 2”) and Danny DeVito (4’ 10”) as two unlikely fraternal twin brothers who were born as a result of a secret genetic experiment. Given their height and other apparent physical – and behavioral – differences, the unlikeliness is impossible to miss.

Many twins, however, especially monozygotic ones, are almost identical in physical appearance. These similarities have fueled myths suggesting a connection between twins that goes beyond shared DNA, physical traits, and mirrored behaviors. One such myth is whether twins can communicate through telepathy. Daryl Austin defines in National Geographic (August 2025) twin telepathy as “the belief that twins – especially identical (monozygotic) ones – can sense each other’s feelings, thoughts, or physical sensations across distance without using the five senses.”

Despite the murkiness in this matter among the scientific community, Austin notes that some recent studies have produced intriguing results. In one of four pairs in a 2013 study published in the Journal of Scientific Exploration, “the non-stimulated twin showed a response that was considered above chance.” In another research in 2024 which involved 91 stimulus trials, 18 stimulation epochs were identified – this is “nearly double the 11 hits expected by chance.” Still, none of these findings qualify as “credible scientific evidence that twin telepathy exists.” The real focus, then, should be on what twins genuinely share: growing up in the same environment, experiences, routines, cultural influences, and genetic traits. According to Joanne Broder, twins are “more likely just demonstrating a communication bond, not reading each other’s minds.”

Password-Protected Brain Implant Decodes Internal Speech

Gemma Conroy. “A mind-reading brain implant that comes with password protection.” Nature, August 2025.

A new study on a brain-computer interface (BCI), or mind-reading device, shows meaningful improvements in accurately decoding internal speech, while safeguarding privacy through a novel password mechanism. The device was tested on four individuals with speech impairments caused by stroke or motor neuron disease. Electrodes placed on the motor cortex recorded neural activity as participants either attempted to speak or silently imagined words and sentences.

The study revealed that both types of speech arise from the same brain region, though signals linked to internal speech are weaker. AI models were then trained to recognize phonemes—the smallest units of speech—from these signals and construct words and sentences from a vocabulary of 125,000 words. The system decoded up to 74% of silently imagined sentences with accuracy comparable to existing BCIs that rely on attempted speech. It also detected spontaneous self-talk, such as silent counting, suggesting the system can capture more natural forms of inner dialogue.

To prevent unintentional decoding of private thoughts, researchers introduced a password trigger to control when decoding begins. When participants imagined the phrase “Chitty-Chitty-Bang-Bang,” the system recognized it with over 98% accuracy, preventing the unintended translation of private thoughts. This is an important step toward helping people with paralysis or speech loss communicate naturally through thought. The password mechanism helps with privacy protection for real-world use. Researchers aim to explore other brain regions beyond the motor cortex and hopefully improve speed and accuracy to broaden the system’s usefulness for different types of speech impairments.

A First in Medicine: Personalized Gene Editing Saves Infant with Rare Genetic Disorder

Musunuru et al. Patient-Specific In Vivo Gene Editing to Treat a Rare Genetic Disease. New England Journal of Medicine, May 2025.

A recent groundbreaking study reported that researchers have successfully developed and delivered a personalized gene-editing therapy to treat an infant diagnosed with a life-threatening genetic disorder called carbamoyl phosphate synthetase 1 (CPS1) deficiency. This case marks the first time such a therapy—customized for a single patient—has been safely and effectively administered using CRISPR technology. CPS1 deficiency is a rare and serious condition that prevents the body from properly breaking down byproducts from protein metabolism, leading to toxic ammonia buildup. This can cause severe damage to the brain and liver, and treatment options are limited, usually involving a restrictive diet and eventual liver transplant. Researchers recently developed a CRISPR-based therapy targeting the defective gene in the baby’s liver cells. The gene editing was restricted to non-reproductive cells, ensuring that changes remained within the treated individual and were not passed to future generations. The therapy was administered in two doses—a low initial dose at six months, followed by a higher one. Positive results appeared quickly. The infant began tolerating more protein in the diet, and the need for medications to control ammonia levels was reduced. Critically, the child endured common illnesses, like a cold and a gastrointestinal infection, without experiencing the dangerous complications typically associated with CPS1 deficiency. This case demonstrates not only the promise of gene editing for treating rare genetic disorders but also the potential for rapid, patient-specific therapies. According to the experts, the platform used for this treatment is adaptable and could pave the way for personalized therapies for a broad range of conditions. While more work is needed, the team remains cautiously optimistic about the child’s continued progress.

What Language Disorders Reveal About Chatbots

Watanabe et al. Comparison of Large Language Model with Aphasia. Advanced Science, May 2025.

Artificial intelligence (AI) tools, especially large language model (LLM)-based agents like ChatGPT and LLaMA, are becoming more integrated into everyday life due to their outstanding fluency in generating text. However, these systems often produce confident yet incorrect information, which can mislead users unfamiliar with the subject matter. In a recent study, researchers have reported that this behavior is strikingly similar to a human language disorder called Wernicke’s aphasia. In this condition, individuals speak fluently but often produce confusing or meaningless statements. The research team explored this similarity using a method called energy landscape analysis, originally developed in physics and later adapted for neuroscience. This method visualizes how brain states or internal signal patterns in AI systems behave. They compared brain activity from individuals with various types of aphasia to the internal signal patterns of LLMs. The study found surprising similarities, particularly in how information is processed and how signals move within the systems. In both cases—human aphasia and AI models—signal patterns can become chaotic or overly rigid, leading to incoherent output. This discovery offers potential advancements in two fields. For neuroscience, it could provide new diagnostic tools for identifying and monitoring aphasia based on brain activity rather than just speech symptoms. For AI development, understanding these internal patterns might help engineers design systems that manage knowledge more flexibly and accurately. While the researchers caution against over-interpreting the results—emphasizing that AI doesn’t have brain damage—they suggest that these internal similarities could guide the creation of more reliable and intelligent AI in the future. Ultimately, this interdisciplinary insight may improve both medical diagnostics and the trustworthiness of AI tools.

Billions of Children Might Face Unprecedented Climate Extremes

Grant et al. Global emergence of unprecedented lifetime exposure to climate extremes. Nature, May 2025.

Climate scientists reveal that millions of today’s children will face unprecedented lifetime exposure to extreme climate events if current global climate policies remain unchanged. Under a high-emissions scenario leading to a 3.5°C rise in global temperatures by 2100, 92% of children born in 2020—around 111 million—are expected to endure record-breaking heatwaves during their lifetimes. In contrast, limiting global warming to the 1.5°C target set by the Paris Agreement could protect 49 million of these children from such exposure. When including all children aged 5 to 18 today, 1.5 billion would be affected under the 3.5°C scenario. However, if warming is limited to 1.5°C, 654 million of them could be spared these extreme impacts. The study shows that children—particularly those in tropical regions and low-income countries—will face far greater climate risks than any previous generation. Those in the most socioeconomically vulnerable communities are likely to suffer the worst effects. The researchers used demographic data and climate models to assess the generational exposure to six types of climate extremes: heatwaves, droughts, crop failures, wildfires, tropical cyclones, and river floods. Their findings reveal a significant intergenerational injustice. For example, under a 1.5°C warming limit, 52% of children born in 2020 would still face unprecedented heatwave exposure, compared to just 16% of those born in 1960. This highlights the urgent need for global climate action. With global warming currently on track to exceed 2.7°C, the study urges world leaders to commit to more ambitious emissions reductions. The message is clear: urgent and equitable climate action is essential to safeguard the futures of today’s youth.

Obesity: a disease of the brain?

Kullmann et al. A short-term, high-caloric diet has prolonged effects on brain insulin action in men. Nature Metabolism, February 2025.

Obesity is a growing disease associated with serious illnesses like diabetes, heart disease, and cancer. The World Health Organization has labeled obesity an epidemic, affecting over a billion people worldwide. Obesity is defined by a body mass index (BMI) of 30 or higher, often attributed to poor diet and lack of exercise. However, the underlying biological mechanisms are more complex, particularly regarding the brain’s sensitivity to insulin. A recent study found that even short-term consumption of highly processed foods, such as chocolate bars and potato chips, can significantly alter brain function in healthy individuals, potentially triggering obesity and type 2 diabetes. Normally, insulin suppresses appetite, but in obese individuals, it fails to regulate eating behavior, leading to insulin resistance. The study also revealed that after just five days of high-calorie intake, the brain’s insulin sensitivity in healthy individuals decreased similarly to that observed in obese people. This effect persisted even after returning to a balanced diet for a week. The study involved 29 healthy-weight male participants divided into two groups. One group consumed an additional 1,500 kcal per day from processed snacks for five days, while the control group maintained its regular diet. MRI scans showed increased liver fat in the high-calorie group and a significant reduction in brain insulin sensitivity, which remained even after returning to normal eating habits. Scientists emphasize that the brain’s insulin response adapts to short-term dietary changes before weight gain occurs, highlighting the need for further research into obesity’s neurological factors.

Inheritance of Trauma Through Genes

Mulligan et al. Epigenetic signatures of intergenerational exposure to violence in three generations of Syrian refugees, Scientific Reports, February 2025.

In 1982, the Syrian government carried out a brutal siege in Hama, killing tens of thousands. Beyond the historical and political repercussions, the violence left a hidden impact—one embedded in the genes of Syrian families. A groundbreaking study has now shown that the trauma experienced by pregnant women during the siege has left genetic marks on their grandchildren, supporting the idea that stress and violence can have long-term biological effects. This study explored how trauma is passed across generations through epigenetics, a process in which chemical markers alter gene expression in response to stress. While animal studies have demonstrated the inheritance of stress-induced epigenetic changes, proving it in humans has been challenging. To investigate, researchers studied three generations of Syrian refugees, comparing families who survived the Hama massacre, those affected by the recent civil war, and a control group who immigrated to Jordan before 1980. They collected DNA samples from 138 individuals across 48 families, focusing on mothers and grandmothers who were pregnant during violent events and their children. They discovered 14 specific areas in the genome of the grandchildren of Hama survivors that bore stress-induced modifications. Additionally, 21 epigenetic sites were altered in those who directly experienced violence. Another finding showed that individuals exposed to violence in the womb exhibited signs of accelerated biological aging, potentially increasing their vulnerability to age-related diseases. While the long-term effects of these modifications remain uncertain, past research suggests links between stress-induced epigenetic changes and health conditions like diabetes and obesity. A well-known study on Dutch famine survivors found similar genetic imprints affecting their offspring’s metabolism. Beyond scientific discovery, the study highlights the resilience of affected families. Despite enduring immense hardship, they continue to build meaningful lives. These findings are likely relevant beyond war zones, shedding light on how various forms of violence—domestic abuse and gun violence—can have lasting biological consequences.

The New Hypothesis for Mars’ Red Color Suggests a Once-Habitable Past

Valantinas et al. Detection of ferrihydrite in Martian red dust records ancient cold and wet conditions on Mars. Nature Communications, February 2025.

Mars’ iconic red color has long fascinated scientists, and a new study suggests that the water-rich iron mineral ferrihydrite may be responsible for the planet’s reddish hue. A recent work challenges the prevailing theory that hematite, a dry, rust-like mineral, is the primary cause. Ferrihydrite forms in water-rich environments, unlike hematite, which typically develops in drier conditions. This discovery supports the idea that Mars once had liquid water and a more habitable environment. The findings suggest that Mars transitioned from a wetter past to its current cold and arid state billions of years ago. To reach their conclusion, researchers analyzed data from multiple Mars missions, including NASA’s Mars Reconnaissance Orbiter and rovers like Curiosity and Opportunity. They combined spectral observations from orbiters with ground-level measurements and conducted lab simulations, recreating Martian dust to study how light interacts with ferrihydrite. By grinding minerals to submicron sizes—1/100th the width of a human hair—the team replicated the fine Martian dust, confirming that its light reflection closely matches observations from Mars. This discovery opens new possibilities for understanding Mars’ ancient climate and habitability. Since ferrihydrite forms in the presence of water and oxygen, its widespread presence suggests Mars had conditions far different from its current dry and cold landscape. The findings may also help answer fundamental questions about whether Mars once supported life. However, final confirmation awaits the return of Martian samples, currently being collected by the Perseverance rover. These samples could definitively determine whether ferrihydrite is the key to Mars’ red dust, unlocking more secrets about the planet’s history.

Just 5 Minutes of Vigorous Exercise Per Day Could Lower Blood Pressure

Blodgett et al. Device-Measured 24-Hour Movement Behaviors and Blood Pressure: A 6-Part Compositional Individual Participant Data Analysis in the ProPASS Consortium.Circulation, November 2024.

A new study highlights the benefits of brief but vigorous physical activity on blood pressure management. Researchers found that adding as little as 5 minutes of high-intensity exercise, such as running, cycling, or stair climbing, to a daily routine can lead to slight reductions in systolic and diastolic blood pressure. Clinically meaningful improvements were observed with an extra 10 to 20 minutes per day. In contrast, lighter activities like walking or standing showed minimal impact. The study assessed health and blood pressure data from 14,761 participants with an average age of 54, tracking daily activities over 24-hour periods. Activities analyzed included sleeping (7.1 hours), sedentary behavior (10.7 hours), slow walking (1.6 hours), fast walking (1.1 hours), standing (3.2 hours), and exercise (16 minutes). Replacing sedentary behavior with just 5 minutes of exercise reduced systolic blood pressure (SBP) by 0.68 mmHg and diastolic blood pressure (DBP) by 0.54 mmHg. Notably, a 2 mmHg decrease in SBP correlates with a 10% lower risk of heart disease. Current health guidelines recommend at least 150 minutes of moderate-intensity or 75 minutes of vigorous exercise weekly. This study suggests 30 minutes of moderate aerobic activity most days and highlights that strength training also benefits blood vessel function and blood pressure control. The importance of incorporating even brief exercise sessions into busy daily schedules, emphasizing that increasing exercise intensity accelerates positive physiological changes that support heart health. For those aiming to lower blood pressure, additional healthy habits include a balanced diet, sufficient sleep, weight management, and stress reduction. Short, practical exercise additions, like taking stairs or walking briskly, can enhance heart health and reduce hypertension risks.

New Transparent Semiconductor Paves the Way for Next-Gen High-Power Electronics

Liu et al. Deep-ultraviolet transparent conducting SrSnO 3 via heterostructure design. Science Advances, November 2024.

Researchers have developed an innovative material that promises to revolutionize high-power electronics by making them faster, more efficient, and transparent to both visible and ultraviolet light. This breakthrough marks a significant advancement in semiconductor technology, a sector critical to the multi-trillion-dollar global electronics industry poised for further growth with the expansion of digital technologies. Semiconductors, integral to nearly all electronic devices—from smartphones to medical equipment—depend on enhanced materials known as “ultra-wide band gap” semiconductors. These materials conduct electricity effectively even under extreme conditions, making them essential for high-performance applications. The recently developed new material features an increased “band gap,” resulting in both higher transparency and conductivity. Such properties support the creation of faster, more efficient electronic devices and open pathways to breakthroughs in computers, smartphones, and potentially quantum computing. This material is a transparent conducting oxide with a specialized thin-layered structure that optimizes transparency without compromising electrical conductivity. As technological advancements and AI applications demand more capable materials, this development is a major leap forward. The new material’s properties were nearly ideal for electronic applications. Rigorous testing and defect elimination enhanced the material’s capabilities. This research not only represents an unparalleled combination of transparency and conductivity but also paves the way for robust, high-power optoelectronic devices capable of functioning in demanding environments.

Daytime sleepiness linked to higher risk of pre-dementia syndrome

Leroy et al. Association of Sleep Disturbances With Prevalent and Incident Motoric Cognitive Risk Syndrome in Community-Residing Older Adults. Neurology, November 2024

A recent study has highlighted that sleep disturbances in older adults, such as excessive daytime sleepiness and reduced enthusiasm, may signal serious health risks, including an increased likelihood of developing motoric cognitive risk syndrome (MCR). MCR is considered an early indicator of dementia, characterized by slow gait and memory problems, though it does not yet involve full mobility disability or dementia. The study involved 445 participants with an average age of 76 who were initially free of dementia. The researchers assessed sleep patterns through questionnaires, which involved questions addressing common sleep issues, such as waking up during the night, difficulty falling asleep within 30 minutes, feeling too hot or cold, and the use of sleep medication. To gauge excessive daytime sleepiness, participants were asked how often they struggled to stay awake while driving, eating, or participating in social activities. Memory issues and walking speed were also monitored annually over three years using a treadmill. Findings revealed that 35.5% of individuals with excessive daytime sleepiness and reduced enthusiasm developed MCR, compared to only 6.7% of participants without these conditions. After controlling for other risk factors, the study concluded that those experiencing sleep-related issues were over three times more likely to develop MCR. This study emphasized the importance of screening for sleep problems, suggesting that addressing these issues could help prevent cognitive decline and dementia later in life. However, further research is needed to explore the precise connection between sleep disturbances and cognitive deterioration, as well as the mechanisms linking sleep issues to MCR and dementia progression.

Predicting major earthquakes months ago

Girona et al. Abnormal low-magnitude seismicity preceding large-magnitude earthquakes. Nature Communications, August 2024.

Recent study suggests that significant earthquakes could be predicted days or months in advance by detecting low-level tectonic activity using machine learning. The researchers closely investigated two major earthquakes: the 2018 Anchorage earthquake and the 2019 Ridgecrest earthquake sequence in California. Their method involved analyzing seismic data for abnormal low-magnitude activity, particularly in the months leading up to these events. They discovered that in both earthquakes, there were about 3 months of unusual seismicity, predominantly of magnitudes below 1.5, over 15% to 25% of the affected regions. Specifically, their machine learning algorithm revealed an 80% probability of a major earthquake occurring within 30 days, increasing to 85% just days before the Anchorage quake. Similar patterns were also observed before the Ridgecrest sequence.

The researchers propose that this precursor activity is caused by increased pore fluid pressure within faults, altering their mechanical properties and leading to uneven stress distribution. This study highlights the transformative role of machine learning in analyzing large seismic datasets, allowing researchers to identify patterns that might signal impending earthquakes. However, while their method shows promise, it requires further testing in real-time scenarios and should be adapted to the specific seismic history of different regions. The ethical challenges of earthquake forecasting are significant, as false alarms could lead to widespread panic and economic disruption, while missed predictions could result in catastrophic outcomes. Nonetheless, accurate forecasting holds the potential to save lives and reduce economic losses by enabling timely warnings and preparations.

Environmental and social factors impact brain aging

Moguilner et al. Brain clocks capture diversity and disparities in aging and dementia across geographically diverse populations. Nature Medicine, August 2024.

A new study reveals that brain aging varies significantly depending on social and environmental factors, particularly in older adults and those with dementia. Countries with higher inequalities, whether economic, environmental, or related to disease, tend to have populations with older brain ages. Researchers used advanced brain clocks based on deep learning to measure brain aging across a diverse sample of 5,306 participants from 15 countries. The study utilized functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) data to quantify the brain age gaps, which is the difference between the estimated biological brain age and the chronological age. The study found that individuals with dementia, especially Alzheimer’s disease, exhibited the most significant brain age gaps. Women in Latin American and Caribbean (LAC) countries showed larger brain age gaps, particularly those with Alzheimer’s, due to a combination of biological sex and gender disparities in health and social conditions. These findings emphasize the role of environmental and social factors in brain health disparities. The research underscores the importance of considering the interaction between large-scale environmental factors (exposome) and brain aging mechanisms. This new framework for brain health research could be critical for personalized medicine, helping to identify individuals at risk for neurodegenerative diseases and develop targeted interventions. Additionally, the study highlights the need for public health policies to address socioeconomic inequalities and environmental pollution to promote healthier brain aging across populations.

Meat consumption linked to higher type 2 diabetes risk

Chunxiao Li et al. Meat consumption and incident type 2 diabetes: an individual-participant federated meta-analysis of 1.97 million adults with 100,000 incident cases from 31 cohorts in 20 countries. The Lancet Diabetes & Endocrinology, September 2024.

Global meat consumption has surged in recent decades, often exceeding dietary guidelines, leading to concerns about its impact on health, particularly the risk of type 2 diabetes. Previous research has suggested a link between higher intakes of processed and unprocessed red meat and an increased risk of type 2 diabetes, but results have been inconsistent. To clarify this relationship, researchers utilized data from the global InterConnect project, analyzing 31 study cohorts across 20 countries. They considered various factors, including age, gender, lifestyle behaviors, energy intake, and body mass index. The study found that consuming 50 grams of processed meat daily, equivalent to two slices of ham, is associated with a 15% higher risk of developing type 2 diabetes within the next decade. Similarly, consuming 100 grams of unprocessed red meat, such as a small steak, was linked to a 10% increased risk. While habitual consumption of 100 grams of poultry daily was associated with an 8% higher risk, this association weakened under further analysis, whereas the links with processed and unprocessed red meat remained strong. This is the most comprehensive evidence to date supporting the recommendation to limit processed and unprocessed red meat consumption to reduce type 2 diabetes risk. Although the study also examined poultry consumption, the link to type 2 diabetes remains uncertain and requires further investigation. The study’s innovative use of harmonized data across diverse populations enabled a more accurate assessment of the relationship between meat consumption and diabetes, reducing potential biases. This research highlights the need for further investment in studies across under-represented regions.