344 papers
This paper proposes a decoupled two-step framework that combines a YOLO-based detector with a specialized DenseNet121 ensemble classifier to achieve high-accuracy detection and fine-grained morphological classification of sickle red blood cells in full-scope microscopy, significantly outperforming single-step models especially for minority phenotypes.
The paper introduces VesSynth, a flexible framework that achieves state-of-the-art, robust 3D vessel segmentation across diverse imaging modalities and spatial scales by leveraging a "tubes are all you need" approach trained entirely on synthetic data.
This paper presents a biohybrid robot system utilizing soft PEDOT fibers as a dual-function interface for low-voltage muscle stimulation and high-sensitivity strain sensing, enabling precise spatiotemporal actuation and closed-loop control that autonomously mitigates muscle fatigue.
This study utilizes multimodal high-resolution imaging to demonstrate that aging induces distinct microstructural and material changes in murine mineralized cartilage and subchondral bone, particularly an abrupt transition in mineral content and mechanical properties at the cartilage interface, which may compromise load transfer and contribute to joint degeneration.
This study introduces scaffold-free acoustic levitation bioreactors that enable the scalable, contactless, and high-viability culture of uniform neuronal spheroids and the structured assembly of layered cortico-striatal assembloids, offering a versatile platform for advanced 3D neuronal tissue modeling.
This study demonstrates that a novel adaptive split-belt treadmill (sATM) can effectively modulate walking speed and allow for user-specific unilateral control of propulsion, performing equivalently to existing tied-belt adaptive treadmills while offering enhanced potential for targeted gait rehabilitation.
This paper introduces a carbon co-feeding strategy that overcomes stoichiometric limitations in redox-balance growth coupling, enabling the efficient directed evolution of enzymes for acetyl-CoA-derived pathways by using glucose for reducing power and acetate or propionate for carbon supply without perturbing redox balance.
This study establishes a high-field (14 Tesla) multinuclear MRI platform using a dual-tuned coil to perform co-registered structural and quantitative sodium relaxometry on human cerebral organoids, successfully revealing spatial heterogeneity in sodium microenvironments through the identification of distinct bi-exponential relaxation components.
The paper introduces miRNova, a next-generation RT-qPCR platform that utilizes precision-engineered, miRNA-specific stem-loop primers and tailored reaction architectures to achieve superior single-nucleotide discrimination and diagnostic-grade specificity in quantifying low-abundance microRNAs in challenging biofluids like saliva, outperforming existing commercial kits.
The paper introduces StrataChip, a microphysiological system that integrates perfused dermal tissue with human keratinocytes to dynamically model epidermal morphogenesis, revealing how gene regulation and cell mechanics coordinate differentiation and stratification through multimodal imaging and single-cell profiling.
This paper introduces D2IM-Strain, a data-driven approach that directly predicts bone strain fields from X-ray computed tomography images, significantly improving accuracy and reducing noise amplification compared to traditional displacement-derived methods.
This paper presents an Electron/React-based desktop simulation platform that integrates Monod, Logistic, and Luedeking-Piret kinetic models to digitally twin a coupled microalgal bioreactor and yeast fermentation system for optimizing CO2 capture and bioethanol production.
This paper presents a cost-effective, high-throughput 2D microtissue co-culture platform that utilizes sequential 3D-printed stenciling to precisely pattern multiple cell types, enabling the recreation of complex tissue architectures like tumor microenvironments and intestinal crypt-villus structures for advanced drug screening and interaction studies.
This paper presents a digital-twin workflow for fungal computing that identifies viable XOR parameter regimes, infers key biophysical parameters from electrical data using machine learning, and validates a waveform-guided refinement process that significantly improves model accuracy and reduces parameter error in simulated mycelial networks.
This study demonstrates that intrathecal administration of Panobinostat-loaded -Cyclodextrin-poly(-Amino Ester) nanoparticles significantly enhances drug distribution throughout the central nervous system, effectively treating metastatic medulloblastoma by inhibiting tumor growth, reducing metastasis, and prolonging survival in mice.
This study establishes a developmentally informed strategy to control kidney organoid branching and budding orientation by engineering an optogenetic RET receptor (optoRET) that enables ligand-free, spatially patterned signaling to drive synthetic morphogenesis.
This paper introduces two complementary multiphoton-based biofabrication tools—replica molding and multiphoton ablation—that enable the scalable, high-throughput creation of precisely controlled 3D curved hydrogel architectures to study and guide epithelial cell differentiation and morphology.
This study demonstrates that an implantable nanofiber scaffold coated with laminin enables the systemic delivery and widespread colonization of human mesangioblasts in dystrophic mice, leading to the restoration of dystrophin expression in critical muscles like the heart and diaphragm without the need for invasive catheterization.
EffieDes is a generative neuro-symbolic AI framework that overcomes the limitations of traditional auto-regressive protein design by combining deep learning to encode fitness landscapes with automated reasoning to rigorously explore and optimize sequences for complex functional constraints, successfully enabling the creation of orthogonal sequence pairs and high-affinity de novo nanobodies.
This study demonstrates that biomaterials forming physically continuous composites with the extracellular matrix, such as microporous annealed particle scaffolds, suppress fibroblast activation and myofibroblast transition by stabilizing collagen architecture and downregulating NF-κB signaling, thereby offering a design principle to limit fibrotic responses at implant interfaces.