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Categories: Chemistry: Biochemistry, Engineering: Biometric

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Most medical AI models in use today are trained to perform one or two specific tasks and have limited utility. Next-generation AI -- called generalist medical AI -- incorporates various types of data to perform a variety of complex tasks in a range of clinical scenarios. Generalist medical AI can reshape medicine by augmenting clinical decision-making, real-time surgical and bedside support, and more.

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Researchers have developed a new mining technique which uses microbes to recover metals and store carbon in the waste produced by mining. Adopting this technique of reusing mining waste, called tailings, could transform the mining industry and create a greener and more sustainable future.

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A previously unknown form of hydrogel formation has been elucidated: chemists found unusual interactions between polymers.

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Researchers have developed a chemical process that can disassemble the epoxy composite of wind turbine blades and simultaneously extract intact glass fibers as well as one of the epoxy resin's original building blocks in a high quality. The recovered materials could potentially be used in the production of new blades.

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Engineers designed a nanoparticle sensor that could enable early diagnosis of cancer with a simple urine test. The sensors, which can detect many cancerous proteins, could also be used to distinguish the type of a tumor or how it is responding to treatment.

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New research shows us that age-old interactions between people and their horses can teach us something about building robots designed to improve our lives.

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The greenhouse gas carbon dioxide can be converted into useful hydrocarbons by electrolysis. The design of the electrolysis cell is crucial in this process. The so-called zero-gap cell is particularly suitable for industrial processes. But there are still problems: The cathodes clog up quickly.

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A team of researchers has demonstrated the ultimate sensitivity allowed by quantum physics in measuring the time delay between two photons. This breakthrough has significant implications for a range of applications, including more feasible imaging of nanostructures, including biological samples, and nanomaterial surfaces, as well as quantum enhanced estimation based on frequency-resolved boson sampling in optical networks.

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Researchers have developed a novel and highly efficient method for rapid antibiotic susceptibility testing using optical microscopy. The technique, called Optical Nanomotion Detection, is extremely rapid, single-cell sensitive, label-free, and requires only a basic traditional optical microscope, equipped with a camera or a mobile phone.

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Researchers have designed a tabletop-sized vaccine printer that could be scaled up to produce hundreds of vaccine doses in a day and deployed anywhere vaccines are needed. The vaccine doses are contained within microneedle patches that can be stored long-term at room temperature and applied to the skin, avoiding the need for injections.

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A new smart material is activated by both heat and electricity, making it the first ever to respond to two different stimuli.

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Scientists have demonstrated nanowire networks can exhibit both short- and long-term memory like the human brain.

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Despite the increasing use of genomic sequencing in clinical practice, interpreting rare genetic mutations, even among well-studied disease genes, remains difficult. Current predictive models are useful for interpreting those mutations, but they are prone to misclassify those that do not cause diseases, contributing to false positives.

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A new article shows how the choice of network representation can influence the observed effects. Their work focuses on the phenomenon of synchronization, which emerges in systems from circadian clocks to vascular networks.

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Engineers developed a method to create synthetic spider silk at high yields while retaining strength and toughness using mussel foot proteins.

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An AI strategy proven adept at board games like Chess and Go, reinforcement learning, has now been adapted for a powerful protein design program. The results show that reinforcement learning can do more than master board games. When trained to solve long-standing puzzles in protein science, the software excelled at creating useful molecules. In one experiment, proteins made with the new approach were found to be more effective at generating useful antibodies in mice than were previous methods. If this method is applied to the right research problems, it likely could accelerate progress in a variety of scientific fields.

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A new machine-learning system can generate protein designs with certain structural features, and which do not exist in nature. These proteins could be utilized to make materials that have similar mechanical properties to existing materials, like polymers, but which would have a much smaller carbon footprint.

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Mechanically responsive molecular crystals are extremely useful in soft robotics, which requires a versatile actuation technology. Crystals driven by the photothermal effect are particularly promising for achieving high-speed actuation. However, the response (bending) observed in these crystals is usually small. Now, scientists address this issue by inducing large resonated natural vibrations in anisole crystals with UV light illumination at the natural vibration frequency of the crystal.

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There are high expectations that quantum computers may deliver revolutionary new possibilities for simulating chemical processes. This could have a major impact on everything from the development of new pharmaceuticals to new materials. Researchers have now used a quantum computer to undertake calculations within a real-life case in chemistry.

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Researchers find that when immunostimulatory drugs called imidazoquinolines are delivered using specialized bottlebrush nanoparticles, the drugs provoke the immune system to attack tumors while eliminating the side effects that occur when the drugs are given on their own.