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Brain keeps familiar routes intact as new experiences get layered on top, study suggests

Every time we move through a familiar environment, the hippocampus consults an internal map, a detailed spatial representation built up through repeated experience. But what happens when something unexpected occurs on a well-known route? Researchers at the University Hospital Bonn (UKB) and the University of Bonn demonstrated in a mouse model that the brain does not redraw its maps from scratch. Instead, it annotates them, preserving the underlying spatial layout while overlaying new information on top of the existing map. The paper is published in the Proceedings of the National Academy of Sciences.

The hippocampus, the brain’s working memory, is shaped like a seahorse and is located in the temporal lobe of both the left and right hemispheres. Hippocampal CA3 circuits, which link information and support the recognition of memories, keep their spatial maps stable while layering new annotations on top, much like a navigation app that preserves your route while flagging an incident ahead.

A Bonn-based research team arrived at these findings by recording the activity of CA3 axons in mice traversing a familiar linear running route. At a fixed point along the route, the scientists introduced a mildly aversive but harmless air puff stimulus, comparable to an unexpected obstacle on a road, and tracked how the hippocampal network updated its representation before, during and after the event.

AI-assisted, real-time deep-brain stimulation therapy for walking impairments in Parkinson’s disease

Deep brain stimulation (DBS) has been used for more than three decades to treat motor symptoms of Parkinson’s disease. Today, more than 200,000 patients worldwide have been implanted with these systems, which continuously deliver electrical stimulation to specific deep-brain regions to reduce rigidity and tremor. Yet despite its clinical success, conventional deep brain stimulation remains limited in its ability to address one of the disease’s most disabling symptoms: walking impairments.

Researchers from EPFL and Lausanne University Hospital (CHUV) have developed a new approach, published in Nature Medicine, that adapts DBS in real time to the patient’s mobility in everyday situations. Thanks to artificial intelligence, the system continuously interprets the patient’s activity and adjusts stimulation in real time, improving walking, climbing stairs and even the simple act of standing up.

US scientists’ new electron microscopy tech delivers 10,000x magnification

Researchers in the United States have built a technology that boosts the performance of electron microscopes. Berkeley Lab and UC Berkeley physicists’ new technique offers detailed images of the small molecules and cell structures that are crucial to understanding biology and disease.

They have adapted the phase-contrast technique to cryo-electron microscopy (cryo-EM), which has about 10,000 times the magnification of light microscopy. Their laser-based phase plate produces sharp images of molecules that today’s cutting-edge cryo-EM systems struggle to capture.

The research team revealed that the new technology was brought to fruition by more than 15 years of theoretical and experimental work by leading microscopy scientists, collaboration with expert machinists, and support from Biohub.

New tool to help build more reliable DNA nanostructures

Scaffolded DNA and RNA origami is a technique that allows scientists to build tiny, highly precise two- and three-dimensional objects. Because these nanostructures can interact naturally with biological systems, they could have important future uses in health care and agritech.

AI repurposes routine chest X-rays to catch silent bone loss before fracture

Osteoporosis is a silent disease where bone loss develops gradually before fractures occur. Current clinical screening recommendations mainly focus on older women and selected high-risk groups, leaving some men, younger adults, and individuals with normal body weight completely outside routine screening pathways.

To close this care gap, researchers from St. Paul’s Hospital and National Taiwan University have demonstrated how AI can leverage routine chest X-rays to detect asymptomatic bone loss, closing critical gaps in screening healthy Asian populations. Their paper is published in the journal npj Digital Medicine.

Strikingly, the study found that more than half of the confirmed abnormal bone-density cases occurred in people with a normal body mass index (BMI). This reveals a severe diagnostic blind spot in conventional, guideline-based screening. By relying strictly on traditional criteria, health care systems routinely overlook healthy-weight individuals, younger adults, and men who are secretly losing bone density but remain completely off the clinical radar.

Popular joint supplement glucosamine linked to faster Alzheimer’s progression

Because glucosamine is widely available and frequently used by older adults to support joint health, the researchers wanted to determine whether it could influence Alzheimer’s disease and related dementias (ADRD).

Working with collaborators Yi Guo, Ph.D., and Jiang Bian, Ph.D., the team used artificial intelligence to analyze deidentified UF Health records collected between 2012 and 2024. They focused on patients diagnosed with either ADRD or mild cognitive impairment (MCI).

Among those patients, researchers found that glucosamine use was relatively common. A total of 1,896 patients with ADRD and 2,750 patients with MCI reported taking the supplement, representing about 8% of each group.

TEAD1 condensates are transcriptionally inactive storage sites on the pericentromeric heterochromatin in cancer cells

Wang, Liang and colleagues show that the TEAD1 transcription factor can organize micrometre-sized nuclear biomolecular condensates independently of active transcription. TEAD1 condensates may act as depots for excess TEAD1.

Ray Kurzweil Predicts AI Will Change Humanity Completely by 2030

Two of my favorite people. Definitely worth a view if you are interested in either.


Few thinkers have shaped our understanding of the future as profoundly as Ray Kurzweil. An American inventor, computer scientist, futurist, entrepreneur, and bestselling author, Kurzweil is widely regarded as one of the most influential technological forecasters of our time. For decades, he has accurately predicted many of the innovations that now define modern life, from mobile computing and artificial intelligence to digital assistants and large language models often years before they entered the mainstream.

In this special conversation, Tony Robbins sits down with Ray Kurzweil in San Francisco to explore one of the most important questions facing humanity: What happens next?

Together, they examine the accelerating pace of artificial intelligence, the path toward Artificial General Intelligence (AGI), the rise of autonomous agents, the future of work and education, breakthroughs in healthcare and longevity, and how these technologies may transform society over the coming decade.

Kurzweil explains why his long-standing prediction of AGI by 2029 now appears increasingly conservative, why the next few years may bring more change than any period in human history, and how humanity may ultimately merge with the very technologies it creates.

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