Researchers developed flexible living textiles based on caterpillar fungus, enabling growth, repair, and environmental response. The materials also exhibit biological functions, such as self-cleaning surfaces and ultraviolet protection.
Researchers propose a quantitative view of temporal encoding in cellular signaling, suggesting that patterns of signaling activity over time carry information. This 'temporal code' offers a fundamental information-theoretic advantage over classical concentration-based encoding, enabling cells to process complex signals.
A team developed a bio-inspired flexible bimodal sensor that enables simultaneous photoelectric and pressure sensing, achieving high accuracy in object recognition and navigation. The sensor's homologous perception strategy provides inherently aligned signals without post-hoc fusion, enabling multimodal sensing applications.
Researchers developed a wearable, enzyme-free glucose monitor built from glucose-responsive hydrogel microneedles, which can sustain stable glucose sensing for up to 56 days. The ARMPatch uses conventional ultrasound imaging and has been shown to be strongly correlated with commercial glucometers in animal models.
A team of researchers developed a mathematical framework called Class-Association Manifold Learning (CAML), which efficiently maps black-box AI model decisions into a low-dimensional manifold. This allows clinicians to intuitively interpret hidden patterns discovered by AI and translate them into actionable clinical knowledge.
Researchers identified a neural circuit connecting dopamine and corticotropin-releasing factor neurons to alleviate stress-induced anxiety. Palatable food consumption reverses neural abnormalities, suppressing hyperactive PVN CRF neurons and promoting emotional homeostasis.
The dual-frequency IVUS system integrates 60 MHz and 90 MHz transducers, offering broader vessel morphology visualization and fine structural details. The system supports high-speed pullback imaging, computer-aided lesion assessment, and three-dimensional stent reconstruction.
China has deployed a new 24-hour rapid intensification forecast model, which offers enhanced forecasting performance for typhoons. The model uses machine-learning algorithms to capture nonlinear characteristics of intensity changes and integrates multiple quantitative indices to predict rapid intensification.
Multifunctional ferroelectric bioelectronic interfaces (FBI) integrate self-rolling, interfacial adhesion, and biomimetic electrical signals to enable long-term biosafe vagus nerve modulation. The device demonstrates durable efficacy in reducing inflammation and shows no signs of displacement after 60-day implantation.
Researchers developed a sequential error-robust FISH spatial mapping platform to profile complex microbial communities at single-cell resolution. The platform enabled autonomous execution and revealed structured microbial clustering and species co-occurrence patterns.
Researchers developed magnetofluids to address limitations of traditional metallic devices, achieving smoother endocardial coverage and thrombus-free results in animal models. The study lays a foundation for upgrading minimally invasive interventional approaches.
Researchers developed a new curvature-fused graph attention network to predict 3D facial landmarks from raw point clouds. The resulting database includes approximately 200,000 high-fidelity 3D facial scans, enabling models to learn richer geometric patterns and adapt more effectively to real-world variability.
Researchers developed a composite electrolyte that decouples ion conduction from mechanical flexibility, achieving superionic conductivity while maintaining close electrode contact. The PA-LiMPS/PEO electrolyte exhibited high ionic conductivity and superior mechanical flexibility.
Researchers found that CeO2 NPs bound to cavities enriched in aspartic acid residues, while AuNPs targeted arginine-rich lateral cavities through electrostatic interactions. NP surface chemistry plays a crucial role in selective binding, beyond geometric accessibility alone.
Researchers developed BT-YOLO algorithm for real-time video monitoring of algal blooms, providing precise localization and quantitative analysis of bloom intensity. The algorithm supports development of a forecasting system and lays foundation for predicting 'blue tears' occurrence, timing, location, scale, and intensity.
The AAVLINK method harnesses Cre/lox-mediated intermolecular DNA recombination to enable efficient full-length gene reconstitution and robust expression of therapeutic genes. This approach overcomes the limited packaging capacity of adeno-associated viruses, offering a strategy for delivering large gene cargoes in gene therapy.
Researchers developed a novel method called cytoarchitecture-based link estimation (CABLE) to infer axonal pathways from routine histology, reconstructing three-dimensional whole-brain fiber tracts at cellular scale. CABLE outperforms existing neuroimaging tools in resolving complex geometries and has potential applications in psychiat...
Researchers aim to identify biological biomarkers that can enable earlier diagnosis and intervention for schizophrenia. Progress in biomarker development is crucial for improving patients' quality of life and reducing the societal burden of the disorder.
Metal halide perovskites have higher X-ray sensitivities than semiconductors. However, nonlinear current responses arise under DC and irradiation, limiting device reliability. A novel AC bias capacitance readout strategy overcomes this challenge.
The study reveals fundamental physical principles underlying bacterial FM signal processing, demonstrating that FM decoding mechanisms increase information entropy by approximately 2 bits compared to traditional AM. A simplified cAMP signaling pathway was reconstructed using a light-controlled system, enabling precise monitoring of fre...
Researchers developed a time-resolved cryo-ET method to capture snapshots of cultured neuronal synapses. The study identified a 'kiss-shrink-run' pathway that unifies the debated 'kiss-and-run' and 'full-collapse' fusion mechanisms, providing a structural basis for efficient synaptic transmission.
Scientists worldwide are calling for accelerated development and standardization of energy metabolism measurement technologies to address global challenges. The conference highlighted the importance of understanding how organisms utilize energy, crucial for tackling climate change and public health crises.
A team developed an artificial ocean carbon recycling system that captures CO2 from seawater and directly converts it into succinic acid, achieving a carbon capture efficiency of 70%. The system's cost is competitive with existing state-of-the-art technologies.
Researchers revealed the molecular mechanism of acarbose degradation by acarbose-preferred glucosidase, identifying key nucleophiles and substrates. The two-step degradation mechanism involves an M1 intermediate, providing targets for designing novel anti-degradation diabetes therapeutics.
Researchers developed a new strategy to boost immunotherapy in solid tumors by targeting senescent immune cells, which contribute to treatment resistance. The approach showed improved efficacy and lower toxicity compared to existing treatments.
A new AI-driven AFM platform accurately identifies macrophage polarization states and distinguishes between M0, M1, and M2 phenotypes. The model successfully validated using flow cytometry data, showing promise for disease diagnostics and therapeutic responses.
Researchers developed CerviPro, a multimodal deep learning model that accurately identifies high-risk patients with locally advanced disease. The model achieved superior predictive performance compared to conventional methods and provided critical prognostic insights.
A team of researchers developed a scalable biological signal-processing framework that uses synthetic operational amplifiers to convert mixed cellular inputs into clean, orthogonal outputs. This enables precise, predictable control of complex biological systems, with applications in biomanufacturing and signal decomposition.
A recent study published in Advanced Science found that life-long oral nicotine administration attenuates age-associated motor decline in mice by reprogramming aging-related systemic metabolism via the sphingolipid-energy metabolic axis. Nicotine treatment also enhanced nicotinamide adenine dinucleotide availability, limited ceramide a...
A new platform enables real-time super-resolution imaging visual guidance during manipulation, allowing for precise control of feature-sized targets. The microlens-AFM probe improves imaging resolution by over 10-fold and enhances manipulation accuracy by 50%.
A new bacterial cellulose-based hemostatic dressing enables rapid and sustained bleeding control, accelerating wound healing through a triple synergistic mechanism. The material demonstrates excellent biocompatibility and overall safety in comprehensive biosafety evaluations.
A deep learning-based model enables fast and accurate stroke risk prediction by segmenting carotid arterial vessel lumens, vessel walls, and plaques in MRI images. The model achieves high accuracy in plaque segmentation, outperforming manual methods, and completes assessment in under 3 seconds.
A study published in Alzheimer's & Dementia found that regular opioid use is associated with a 20% increased risk of all-cause dementia and over 70% increased risk of dementia among those taking strong opioids. Regular opioid use was also linked to reduced brain volume, lower fluid intelligence, and higher risk of vascular dementia.
Researchers developed a novel nanoconfinement strategy to deliver molecular hydrogen for diabetic bone repair. The innovative implant achieves controlled and sustained H2 release, promoting bone regeneration and neural network formation. This technology addresses key limitations of conventional H2 therapy.
Scientists discovered a novel method to synthesize gold-polymer nanocomposites within living E. coli bacteria, creating natural microreactors for complex nanostructure formation. The approach enables spatially controlled and eco-friendly synthesis of functional materials.
Researchers developed a novel neuron-like interface material and bioelectronic platform that enables seamless integration and adaptive communication with neural systems. The platform, termed ferroelectric bioelectronics (FerroE), integrates neuron-like flexibility, surface topography, and functional behaviors into a single system.
Researchers developed magnetically driven biohybrid blood hydrogel fibers that can deliver chemotherapy directly to brain tumors while evading the immune system. These fibers exhibit exceptional capability to navigate intricate environments and offer real-time tracking capabilities.
A team of researchers constructed a cross-species single-nucleus RNA-seq atlas of amniote brains, uncovering conserved and divergent cell-type evolution. Functional divergence or loss of paralogous genes significantly drove the evolution of brain cell types, with distinct expression patterns across species.
A study published in Neuron reveals the neural circuit underlying individual differences in visual escape habituation, a key component of emotional responses. The research identifies distinct brain pathways involved in two types of defensive behaviors, providing new insights into arousal modulation and stress adaptation.
Researchers found that social rank influences vulnerability to drug addiction by altering dopamine pathways. Winning experiences can reshape the brain's dopamine system, reducing drug-seeking behaviors in low-ranking mice.
Researchers created a miniaturized, portable bio-battery using living hydrogels that can be 3-D printed. The bio-battery generates electricity from bacterial metabolism, enabling self-charging and precise control over bioelectrical stimulation.
Researchers developed oscillating microbubble array-based metamaterials for efficient isolation of high-purity exosomes from undiluted whole blood. The technology, tested on whole blood samples, isolated exosomes with 93% purity in about three minutes without labeling or pretreatment procedures.
Researchers developed a 1.7-gram head-mounted microscope to capture neural activity and cerebral hemodynamics in freely moving mice. The device provided simultaneous imaging of neuronal burst firing and multi-parametric hemodynamics at high spatiotemporal resolution.
The proposed PPT combines the advantages of light and electric fields, enabling versatile manipulation of various materials and objects. It generates surface charges via the photopyroelectric effect and reduces motion resistance with a lubricant-infused slippery layer.
Research challenges clonal evolution theory, presenting evidence that tumors can emerge from multiple cells. Single-cell phylogenies were analyzed using DNA barcoding system, revealing striking patterns of parallel clonal expansions within individual lesions.
A recent study reveals that hippocampal CA1 neurons integrate spatial and temporal information through a shared representation mechanism, facilitating episodic memory formation. This discovery provides essential insights into the neural basis of spatiotemporal context signals in episodic memory.
Researchers have identified the lateral septum as a key region in the brain that regulates feeding behavior, leading to the development of new anti-obesity strategies. The study found that GLP-1R agonists like liraglutide activate neurons in this region to suppress appetite and reduce body weight.
Researchers developed two innovative methods for intracellular polymerization using light stimuli, offering precise spatial and temporal control. These methods have the potential to modulate various cellular functions, making them a promising avenue for therapeutic interventions.
Researchers at Shenzhen Institute of Advanced Technology developed a novel approach to create degradable living plastics by programming spores to secrete enzymes that break down plastic. The 'living plastics' degrade efficiently within 6-7 days, outperforming regular plastics even with surface damage.
A research team developed an unsupervised domain adaptation approach called DDSP, achieving high-precision cross-modality segmentation without target modality labels. The framework diverges from GANs and incorporates inter-channel similarity feature alignment to boost flexibility and precision.