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Scientists develop wearable robotic system to restore hand function

Researchers at the Medical University of Vienna, in collaboration with ETH Zurich, the Technical University of Munich and Medical Faculty Belgrade, have developed a wearable neurorobotic system that combines electrical neurostimulation with hand exoskeletons. In a clinical trial involving 14 patients with hand impairments caused by neurological injury, the technology supported finger mobility, tactile perception and grip control. The results demonstrate the potential of personalised assistive systems for people living with the consequences of spinal cord or brain injury. The study has recently been published in the journal Science Advances.

Hand movements and the sense of touch are essential for everyday activities such as grasping, eating, dressing or personal hygiene. However, after damage to the central nervous system, motor and sensory impairments of the hand often persist. Conventional rehabilitation can achieve improvements, but does not always lead to sufficient restoration of hand function. There is therefore a great need for assistive technologies suitable for everyday use.

A research team led by study director Stanisa Raspopovic from the Center for Medical Physics and Biomedical Engineering at MedUni Vienna has developed the “SensoExo” system for assisting people with hand sensorimotor impairements. It combines a wearable hand exoskeleton with a custom-fitted neurostimulation sleeve. The sleeve stimulates specific nerves and muscles in the forearm through the skin. Sensors on the fingers detect touch and gripping forces and translate this information into electrical stimulation, providing users with tactile feedback. In addition, functional electrical stimulation can assist users open and close their fingers more easily.

New AI math tool could sharpen image editing, drug discovery and simulations

Clarkson University researchers have developed a new mathematical tool that could make artificial intelligence systems more accurate, controllable and useful across applications ranging from image editing to drug discovery.

Clarkson University postdoctoral researcher Zander Blasingame and Chen Liu, professor of electrical and computer engineering, created a new family of numerical solvers called Rex that improves how generative AI models move between random noise and meaningful data. Their work, “Rex: A Family of Reversible Exponential (Stochastic) Runge-Kutta Solvers,” will be presented this summer at the International Conference on Machine Learning (ICML 2026), and an earlier version of the paper is available on the arXiv preprint server.

Diffusion and flow-matching models are the foundation of many modern generative AI systems, including image generators, molecular design tools and scientific simulators. They work by gradually transforming random noise into useful outputs. While that process is effective for creating new content, many important applications require running it in reverse. Existing methods often introduce errors that make it difficult to accurately recover the original information.

Elon Musk UPDATE Neuralink 4.0 Chip Destroy Entire BCI Industry!

Elon Musk UPDATE Neuralink 4.0 Chip introduces Neuralink’s next-generation O1 brain chip developed with Samsung.
This video explores the latest progress of the Neuralink 4.0 chip, including movement restoration, speech recovery, Blindsight vision technology, and how Neuralink patients are using brain-computer interfaces today.
We also examine Samsung’s 4nm partnership, the new R1 surgical robot, and competition from Synchron, Paradromics, and China’s NEO system to understand how the Neuralink 4.0 chip could shape the future of the BCI industry.
If you’re interested in Elon Musk, AI, neuroscience, and future medical technology, this breakdown explains why many experts view the Neuralink 4.0 chip as one of the most important developments in brain-computer interfaces.

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Cancer cells co-opt nociceptive nerves to thrive in nutrient-poor environments and upon nutrient-starvation therapies

(Cell Metabolism 34, 1999–2017.e1–e10; December 6, 2022)

We recently identified several errors during a routine review of the data associated with the published article.

In Figure 2A, the dataset corresponding to the Boyden chamber co-culture condition was inadvertently duplicated from the conditioned media dataset during the preparation of the source data files. The figure itself was generated using the correct raw experimental datasets at the time of analysis and plotting. Therefore, the quantitative results shown in the published figure remain accurate. We have now corrected the source data files by restoring the appropriate raw dataset for the Boyden chamber co-culture condition. The corrected source data are consistent with the originally reported results and do not affect the conclusions of the study.

A renewable cell source for cancer immunotherapy could make off-the-shelf treatments possible

In a paper published in Cell, a USC Stem Cell-led team reports a new way of generating a renewable and expandable supply of the progenitor cells that give rise to macrophages. These immune cells help drive the body’s response against pathogens, and they hold strong promise as the basis for immunotherapies against cancer and other diseases.

The paper, “Expansion and CAR Engineering of Granulocyte-Monocyte Progenitors for Cellular Immunotherapy,” demonstrates that progenitor cells known as granulocyte-monocyte progenitors (GMPs), which give rise to macrophages and other immune cells, can be extensively expanded in the laboratory and engineered both to target specific cancer markers and to help stimulate broader immune responses.

“The study establishes a scalable and engineerable GMP platform for cellular immunotherapy and introduces concepts that we believe could have broad implications for both cancer immunotherapy and stem cell biology,” said the paper’s corresponding author Qi-Long Ying, MD, Ph.D., professor of stem cell biology and regenerative medicine at the Keck School of Medicine of USC.

Targeting enzyme could block cancer spread to brain with fewer side effects

A new study has identified a more precise and effective way to prevent cancer from spreading to the brain. The paper, published in the Proceedings of the National Academy of Sciences, details the development of novel drug candidates that target a key enzyme implicated in the spread of lung, breast, skin and other cancers to the brain. The work builds on a promising new therapeutic strategy first reported by the same group of researchers last year.

The new drug candidates are designed to intercept rogue cancer cells before they depart from primary tumors and ultimately travel to the brain.

Lead author Sheila Singh, based at both King’s College London and McMaster University, says this type of cancer—called metastatic brain cancer—is the most common type of brain tumor in adults and comes with an extremely grim outlook, with 90% of patients dying within one year of diagnosis.

UNM Researchers Find Alarmingly High Levels of Microplastics in Human Brains — and Concentrations are Growing Over Time

Microplastics – tiny bits of degraded polymers that are ubiquitous in our air, water and soil – have lodged themselves throughout the human body, including the liver, kidney, placenta and testes, over the past half century.

Now, University of New Mexico Health Sciences researchers have found microplastics in human brains, and at much higher concentrations than in other organs. Worse, the plastic accumulation appears to be growing over time, having increased by 50% over just the past eight years.

In a new study published in Nature Medicine, a team led by toxicologist Matthew Campen, PhD, Distinguished and Regents’ Professor in the UNM College of Pharmacy, reported that plastic concentrations in the brain appeared higher than in the liver or kidney, and higher than previous reports for placentas and testes.

Neuron-targeted gene therapy rescues multiple phenotypes of STXBP1-related disorders in mice and is well tolerated in nonhuman primates

Aeran and colleagues present research on targeted gene therapy vector engineering and pre-clinical testing of neuron-targeted AAV9-based constructs for STXBP1-related neurodevelopmental and epileptic encephalopathies. Candidate vectors designed to target specific neuronal types and detarget tissues associated with toxicity produced robust phenotypic reversal in Stxbp1 +/− mice and were well tolerated in monkeys.

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