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Categories: Chemistry: Biochemistry, Mathematics: Modeling

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Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests.

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Researchers report a new method that reduces the amount of iridium needed to produce hydrogen from water by 95%, without altering the rate of hydrogen production. This breakthrough could revolutionize our ability to produce ecologically friendly hydrogen and help usher in a carbon-neutral hydrogen economy.

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Perovskites are among the most researched topics in materials science. Recently, a research team has solved an age-old challenge to synthesize all-organic two-dimensional perovskites, extending the field into the exciting realm of 2D materials. This breakthrough opens up a new field of 2D all-organic perovskites, which holds promise for both fundamental science and potential applications.

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Researchers present Tripath: new, deep learning models that can use 3D pathology datasets to make clinical outcome predictions. The research team imaged curated prostate cancer specimens, using two 3D high-resolution imaging techniques. The models were then trained to predict prostate cancer recurrence risk on volumetric human tissue biopsies. By comprehensively capturing 3D morphologies from the entire tissue volume, Tripath performed better than pathologists and outperformed deep learning models that rely on 2D morphology and thin tissue slices.

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Researchers have developed a robotic feeding system that uses computer vision, machine learning and multimodal sensing to safely feed people with severe mobility limitations, including those with spinal cord injuries, cerebral palsy and multiple sclerosis.

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Walking and running is notoriously difficult to recreate in robots. Now, a group of researchers has overcome some of these challenges by creating an innovative method that employs central pattern generators -- neural circuits located in the spinal cord that generate rhythmic patterns of muscle activity -- with deep reinforcement learning. The method not only imitates walking and running motions but also generates movements for frequencies where motion data is absent, enables smooth transition movements from walking to running, and allows for adapting to environments with unstable surfaces.

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A recent study led to the development of a powerful epigenetic editing technology. The system unlocks the ability to precisely program chromatin modifications at any specific position in the genome, to understand their causal role in transcription regulation. This innovative approach will help to investigate the role of chromatin modifications in many biological processes, and to program desired gene activity responses, which may prove useful in disease settings.

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Chemists created an enzyme with boronic acid at its reactive center. This approach can produce more selective reactions with boron, and allows the use of directed evolution to improve its catalytic power.

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A tiny, flexible electronic device that wraps around the spinal cord could represent a new approach to the treatment of spinal injuries, which can cause profound disability and paralysis. A team of engineers, neuroscientists and surgeons developed the devices and used them to record the nerve signals going back and forth between the brain and the spinal cord. Unlike current approaches, the new devices can record 360-degree information, giving a complete picture of spinal cord activity.

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Scientists introduce a large language model-based AI system that revolutionizes chemistry by integrating 18 advanced tools for tasks like organic synthesis and drug discovery.

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When old food packaging, discarded children's toys and other mismanaged plastic waste break down into microplastics, they become even harder to clean up from oceans and waterways. These tiny bits of plastic also attract bacteria, including those that cause disease. Researchers describe swarms of microscale robots (microrobots) that captured bits of plastic and bacteria from water. Afterward, the bots were decontaminated and reused.

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Tracking individual enzymes during the breakdown of cellulose for biofuel production has revealed how several roadblocks slow this process when using plant material that might otherwise go to waste. The research may lead to new ways to improve the breakdown process and make the non-edible parts of plants and other plant waste, such as forestry residue, a more competitive source of biofuels.

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Emergency departments nationwide are overcrowded and overtaxed, but a new study suggests artificial intelligence (AI) could one day help prioritize which patients need treatment most urgently.

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Move over, graphene. There's a new, improved two-dimensional material in the lab. Borophene, the atomically thin version of boron first synthesized in 2015, is more conductive, thinner, lighter, stronger and more flexible than graphene, the 2D version of carbon. Now, researchers have made the material potentially more useful by imparting chirality -- or handedness -- on it, which could make for advanced sensors and implantable medical devices.

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Researchers used a breast cancer cell line panel and primary tumor explants from breast and cervical cancer patients to examine two different cellular contractility modes: one that generates collective tissue surface tension that keeps cell clusters compact and another, more directional, contractility that enables cells to pull themselves into the extracellular matrix. They found that more aggressive cells pull more strongly on the ECM than on themselves while noninvasive cells pull more strongly on themselves than on the ECM -- and that the different pulling behaviors are attributed to different structures of actin cytoskeleton inside the cells.

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The natural vein structure found within leaves -- which has inspired the structural design of porous materials that can maximize mass transfer -- could unlock improvements in energy storage, catalysis, and sensing thanks to a new twist on a century-old biophysical law.

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Researchers have harnessed the technology behind foundation models, which power tools like ChatGPT, to discover new cancer imaging biomarkers that could transform how patterns are identified from radiological images. Improved identification of such patterns can greatly impact the early detection and treatment of cancer.

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Researchers have debunked a 75-year-old theory about how humans determine where sounds are coming from, and it could unlock the secret to creating a next generation of more adaptable and efficient hearing devices ranging from hearing aids to smartphones.

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Researchers have developed a new vaccine technology that has been shown in mice to provide protection against a broad range of coronaviruses with potential for future disease outbreaks -- including ones we don't even know about.

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Why 3,000 bars are needed to take a comprehensive look at a protein: Researchers present a new high-pressure spectroscopy method to unravel the properties of proteins' native structures.