346 papers
This study demonstrates that embedding precision-cut lung slices in engineered hydrogels extends their viability to three weeks, enabling the recapitulation of chronic pulmonary fibrosis gene expression and the evaluation of therapeutic responses like Nintedanib in a more physiologically relevant ex vivo model.
This study demonstrates that a custom online EEG foundation model, trained via spectrogram reconstruction and online constraints, significantly outperforms conventional deep learning frameworks in directional motor imagery BCI tasks by achieving higher accuracy, faster completion times, and improved adaptability for real-time cursor control.
This paper introduces a robust, iterative genome engineering framework for mammalian cells using three mutually orthogonal Leap-In transposase systems to sequentially generate a glutamine synthetase-deficient CHO host, integrate therapeutic antibodies, and modulate glycosylation, thereby enabling the predictable and stable development of complex biopharmaceutical manufacturing lines.
This study presents a scalable interfacial emulsification strategy to fabricate stable lipid-MOF colloidosomes that simultaneously enable multicompartmental encapsulation of molecules with contrasting polarities and highly efficient, stir-free removal of water pollutants.
This study demonstrates the feasibility of long-term, continuous production and recovery of high-purity medium-chain carboxylates from municipal source-separated organics via microbial chain elongation in a bench-scale anaerobic bioreactor integrated with a solvent-free membrane extraction system.
This paper introduces FATE, a novel experimental facility that uses a jet array to decouple turbulence from mean flow, enabling systematic control of turbulent scales to investigate their effects on fish locomotion and collective behavior.
Ultrasound-activated nanobubbles serve as a drug-free therapeutic strategy that mechanically remodels the tumor microenvironment to deplete immunosuppressive cells, promote T-cell infiltration, and induce durable systemic antitumor immunity with high cure rates in aggressive breast cancer models.
TRaP is an open-source, GUI-based Python toolkit that addresses the reproducibility crisis in Raman spectroscopy by providing a unified, declarative framework for transparent, shareable, and deterministic spectral preprocessing across diverse heterogeneous instrument platforms.
This paper presents a one-dimensional computational model demonstrating how a dynamic osteocyte network regulates bone mechanical adaptation through the propagation of biochemical signals, revealing that the discrete addition and removal of osteocytes leads to novel behaviors such as partial recovery after unloading and a stress threshold for resorption, thereby providing a mechanistic basis for Wolff's laws.
This paper introduces HYFEN, a novel hydrogel-based endomicroscopy platform that overcomes the limitations of conventional silica fibers to achieve flexible, biocompatible, and high-resolution subcellular fluorescence imaging through ultrathin, bendable probes.
This study establishes a data-driven framework using an interpretable Random Forest machine learning model on a curated database of 220 hydrogel formulations to identify key design principles—specifically functional agents, base polymers, and elastic modulus—that promote anti-inflammatory M2 macrophage phenotypes for the rational design of effective immunomodulatory arthritis therapies.
Researchers developed a lipid nanoparticle-delivered multivalent peptide-polymer conjugate that mimics the STING protein's C-terminal tail to directly activate innate immune signaling and induce tumor regression in STING-deficient ovarian cancer models, offering a promising therapeutic strategy for cancers lacking STING expression.
This study introduces a deep-learning-enabled, fibrin-based 3D glioblastoma model that mimics the tumor's pro-invasive microenvironment and utilizes advanced morphodynamic analysis to accurately predict long-term invasion and evaluate drug efficacy.
This paper presents a robust, low-cost "twisted wire templating" strategy that overcomes existing fabrication limitations to create fully patent, perfusable hydrogel vascular networks seamlessly transitioning from macro- to micro-scales with high fidelity and reduced footprint.
This study demonstrates that implanting soft, porous precision-templated hydrogel scaffolds into the rat brain significantly reduces the foreign body reaction and glial scarring while promoting neurogenesis, offering a promising strategy to improve the efficacy of central nervous system implants.
This study demonstrates that trajectory-based exposure to energy dissipation rate, rather than volume-averaged metrics or shear stress, provides a superior basis for scaling up vertical-wheel bioreactors for human pluripotent stem cell culture.
This study demonstrates that a computational fluid dynamics-guided framework enables the predictable scale-up of perfusion bioreactors for microvessel production by maintaining equivalent interstitial flow conditions, thereby ensuring reproducible vascular network morphology across clinically relevant culture volumes.
This study utilizes a novel non-invasive MRI technique to provide the first direct evidence of tissue-CSF water exchange in the live human cortex, demonstrating that this glymphatic flux is robust in gray matter, declines with age, and is significantly impaired in Alzheimer's disease.
This study demonstrates that a novel fast-oscillating amplitude-modulated sinusoidal (FAMS) stimulation waveform desynchronizes neural activity in peripheral nerves, resulting in more natural and comfortable sensory perceptions compared to conventional rectangular pulses, thereby offering a promising biomimetic strategy for restoring sensory feedback in amputees.
This paper introduces a modular DNA-PAINT probe architecture that spatially decouples binding kinetics from fluorophore-quenching interactions using PEG spacers, thereby overcoming the tradeoff between speed and background noise to enable fast, low-background, and multiplexed super-resolution imaging of whole cells.