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Categories: Chemistry: Biochemistry, Mathematics: Modeling
Published Leading AI models struggle to identify genetic conditions from patient-written descriptions



Researchers discover that while artificial intelligence (AI) tools can make accurate diagnoses from textbook-like descriptions of genetic diseases, the tools are significantly less accurate when analyzing summaries written by patients about their own health. These findings demonstrate the need to improve these AI tools before they can be applied in health care settings to help make diagnoses and answer patient questions.
Published Halogen bonding for selective electrochemical separation, path to sustainable chemical processing demonstrated



A team has reported the first demonstration of selective electrochemical separation driven by halogen bonding. This was achieved by engineering a polymer that modulates the charge density on a halogen atom when electricity is applied. The polymer then attracts only certain targets -- such as halides, oxyanions, and even organic molecules -- from organic solutions, a feature that has important implications for pharmaceuticals and chemical synthesis processes.
Published Breakthrough in nanotechnology: Viewing the invisible with advanced microscopy



Scientists have made a groundbreaking discovery in the field of nanotechnology. They have developed a novel microscopy method that allows for the unprecedented visualization of nanostructures and their optical properties.
Published Think fast -- or not: Mathematics behind decision making



New research explains the mathematics behind how initial predispositions and additional information affect decision making.
Published AI poses no existential threat to humanity, new study finds



Large Language Models (LLMs) are entirely controllable through human prompts and lack 'emergent abilities'; that is, the means to form their own insights or conclusions. Increasing model size does not lead LLMs to gain emergent reasoning abilities, meaning they will not develop hazardous abilities and therefore do not pose an existential threat. A new study sheds light on the (until now unexplained) capabilities and shortcomings of LLMs, including the need for carefully engineered prompts to exhibit good performance.
Published Why carbon nanotubes fluoresce when they bind to certain molecules



Nanotubes can serve as biosensors. They change their fluorescence when they bind to certain molecules. Until now, it was unclear why. Researchers have gained new insights into the cause of the fluorescence.
Published How mortal filaments' self-assemble and maintain order: Align or die



A previously unknown mechanism of active matter self-organization essential for bacterial cell division follows the motto 'dying to align': Misaligned filaments 'die' spontaneously to form a ring structure at the center of the dividing cell. The work could find applications in developing synthetic self-healing materials.
Published Breakthrough heart MRI technique accurately predicts heart failure risk in general population



MRI scans could replace invasive heart tests, as new research shows they can reliably estimate pressures inside the heart to predict if a patient will develop heart failure.
Published Treating radiation wounds with aspirin hydrogels



Radiation is a powerful tool for treating cancer, but prolonged exposure can damage the skin. Radiation-induced skin injuries are painful and increase a person's chances of infection and long-term inflammation. Now, researchers report an aspirin-containing hydrogel that mimics the nutrient-rich fluid between cells and accelerates healing of skin damaged by radiation in animals. With further development, the new salve could provide effective and rapid wound healing for humans.
Published Researchers develop AI model that predicts the accuracy of protein--DNA binding



A new artificial intelligence model can predict how different proteins may bind to DNA.
Published Increasing solid-state electrolyte conductivity and stability using helical structure



Solid-state electrolytes have been explored for decades for use in energy storage systems and in the pursuit of solid-state batteries. These materials are safer alternatives to the traditional liquid electrolyte -- a solution that allows ions to move within the cell -- used in batteries today. However, new concepts are needed to push the performance of current solid polymer electrolytes to be viable for next generation materials.
Published Engineering researchers enhance perovskite solar cells durability with first-of-its-kind chiral-structured 'springy' interface



A research team has constructed an unprecedented chiral-structured interface in perovskite solar cells, which enhances the reliability and power conversion efficiency of this fast-advancing solar technology and accelerates its commercialization.
Published How do butterflies stick to branches during metamorphosis?



Most of us learned about butterfly metamorphosis as a kid -- a wriggly caterpillar molts its skin to form a tough chrysalis and emerges as a beautiful butterfly. But how exactly do chrysalises stay anchored as the butterfly brews within? Research shows that, despite their silks being weak and thin on their own, caterpillars can expertly spin them into chrysalis support structures resembling hook-and-loop fasteners and multi-strand safety tethers.
Published 3D laser printing with bioinks from microalgae



Microalgae such as the diatom Odontella aurita and the green alga Tetraselmis striata are especially suitable as 'biofactories' for the production of sustainable materials for 3D laser printing due to their high content in lipids and photoactive pigments. An international research team has succeeded for the first time in manufacturing inks for printing complex biocompatible 3D microstructures from the raw materials extracted from the microalgae.
Published New technology uses light to engrave erasable 3D images



Researchers invented a technique that uses a specialized light projector and a photosensitive chemical additive to imprint two- and three-dimensional images inside any polymer. The light-based engraving remains in the polymer until heat or light are applied, which erases the image and makes it ready to use again. The technology is intended for any situation where having detailed, precise visual data in a compact and easily customizable format could be critical, such as planning surgeries and developing architectural designs.
Published Researchers outline promises, challenges of understanding AI for biological discovery



Machine learning is a powerful tool in computational biology, enabling the analysis of a wide range of biomedical data such as genomic sequences and biological imaging. But when researchers use machine learning in computational biology, understanding model behavior remains crucial for uncovering the underlying biological mechanisms in health and disease. Researchers now propose guidelines that outline pitfalls and opportunities for using interpretable machine learning methods to tackle computational biology problems.
Published Finding pearls in the mud: Eco-friendly tungsten recovery from semiconductor waste



Semiconductor industry waste is typically seen as a costly disposal problem and an environmental hazard. But what if this waste could be transformed into a valuable resource? In an exciting development, researchers have unveiled an eco-friendly method to extract rare metals from semiconductor waste. This innovative approach not only recovers precious tungsten but also assesses its economic viability, offering a sustainable solution for waste management in the tech industry.
Published 3D bioprinting advances research on respiratory viruses



Researchers develop a microstructured 'artificial lung' model using bioprinting technology.
Published Imaging technique uncovers protein abnormality in motor neurone disease



Researchers have used a new technique to identify pathological abnormalities associated with motor neurone disease.
Published Artificial compound eye to revolutionize robotic vision at lower cost but higher sensitivity



A research team has recently developed a novel artificial compound eye system that is not only more cost-effective, but demonstrates a sensitivity at least twice that of existing market products in small areas. The system promises to revolutionize robotic vision, enhance robots' abilities in navigation, perception and decision-making, while promoting commercial application and further development in human-robot collaboration.