354 papers
This study demonstrates that both positively and negatively charged nanobubbles induce cytotoxicity in human iPSC-derived neurons within culture media, with positively charged nanobubbles exhibiting stronger cell-killing effects likely due to electrostatic interactions with the negatively charged cell membrane or enhanced radical generation.
This study validates a laparoscopic fluorescence imaging platform for quantitatively monitoring light-triggered release of liposomal doxorubicin in cancer spheroid models, demonstrating its potential to guide individualized chemophototherapy dosing for peritoneal micrometastases and head and neck cancers.
This paper presents Fast-cWDM, a novel framework that combines Fast-DDPM with Discrete Wavelet Transforms to efficiently synthesize missing brain MRI modalities with reduced inference time and memory usage, achieving third place in the BraSyn-Task 8 challenge while demonstrating high clinical utility for downstream tumor segmentation.
This study demonstrates that an ensemble learning approach combining continuous wavelet transform-based time-frequency representations (scalograms and phasograms) with raw time-series data, optimized via weighted focal loss, achieves superior ECG classification performance (AUC 0.9233) on the PTB-XL dataset compared to individual modalities.
This study demonstrates that single-pulse megahertz-range focused ultrasound delivered via a small intracranial implant prototype can causally trigger intracellular calcium signaling and dopamine release specifically in human dopaminergic neurons, highlighting its potential as a targeted, non-invasive neuromodulation tool for treating dopaminergic-related pathologies.
This paper introduces MicrowellMicrofluidicsMiner (M3), a framework leveraging large language model agents to autonomously extract and curate microwell microfluidics design parameters from unstructured literature, achieving a 78% accuracy rate that significantly outperforms standalone models and facilitates data-driven device optimization.
This study employs a novel hybrid continuum-particle framework to demonstrate that cancer cell morphology and elasticity jointly dictate deformation patterns and traction forces in shear flows, creating a mechanistic feedback loop that governs circulating tumor cell transport and migration in metastatic environments.
This study demonstrates that hierarchically engineered MIL-101 metal-organic framework nanoreactors can encapsulate the entire six-enzyme violacein biosynthesis pathway to significantly enhance in vitro production, enable storage and reuse, and successfully deliver the functional multi-enzyme system into mammalian cells for intracellular drug biosynthesis.
This paper introduces a microfluidic agarose microdroplet platform that enables high-throughput DNA-encoded library screening of chromatin-associated targets within a near-native cellular context by combining mechanical stability, selective protein retention via mild permeabilization, and efficient ligand diffusion.
This study presents a robust, reproducible *in vitro* model of spinal cord demyelination using engineered human neural stem cell-derived tissues on piezoelectric scaffolds, which successfully recapitulates key pathological features and serves as a versatile platform for investigating disease mechanisms and therapeutic interventions.
This study demonstrates that depositing poly(4-vinylpyridine) coatings on electrochemical sensors shifts the oxidation potentials of biomarkers like ascorbic acid and serotonin, thereby resolving overlapping signals and enabling highly selective detection in complex mixtures, a strategy that remains effective even on nanostructured, stretchable electrodes.
This paper presents a vision-guided robotic system that overcomes the technical bottlenecks of manual microinjection by enabling high-throughput, automated targeting and manipulation of single cells within dense human brain organoids, thereby facilitating large-scale studies of human brain development and cell fate decisions.
This study presents a chemically defined, xeno-free hydrogel system called "Alphagel" and its liver-specific variant "Hepatogel," which effectively support the differentiation of human pluripotent stem cells into various tissues and significantly enhance the retention of transplanted hepatocytes in vivo, offering a promising platform for clinically translatable regenerative medicine therapies.
This study presents a novel high-resolution microCT methodology combined with deep learning segmentation to map the 3D fascicular organization of the human sciatic nerve, revealing distinct anteromedial topography of hamstring-innervating fibers that can guide the development of more effective neuroprostheses for restoring standing and walking.