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This study shows bone-derived nanoparticles reduce IR-induced damage in BMSCs by restoring molecular pathways and enhancing regenerative function.

This paper develops automated 3D segmentation techniques for human eye and orbit structures using MRI and evaluates axial length estimation.

This paper develops a photocrosslinkable liver decellularized extracellular matrix hydrogel for 3D bioprinting, showing enhanced liver cell proliferation and function.

The paper models LC oxygenation under varying vascular and anatomical conditions, finding vessel radius and anatomical variation are most influential.

NeuroMark-HiFi detects high-spatial-frequency functional brain networks, revealing additional group differences in schizophrenia and healthy controls.

This paper introduces a CRISPR-on-beads assay for rapid, sensitive, and specific detection of MRSA bacterial DNA using isothermal amplification, CRISPR cleavage, and magnetic bead signal amplification.

This paper introduces a pre-training framework that combines sequential and geometric encoders to improve protein variant prediction for enhanced bioactivity and thermostability.

The paper develops engineered human gut tissues to study host-microbe interactions and identifies an epithelial gene regulatory network in response to Salmonella Typhimurium infection.

The paper introduces snCED-seq, a method for isolating high-quality nuclei from FFPE tissues, showing improved RNA retention and gene detection compared to traditional methods.

This study evaluates the reliability of Continuous Relative Phase (CRP) measurements for lower-limb inter-joint coordination during gait in individuals with and without cerebral palsy, finding higher reliability for proximal joint coupling.

This paper develops a low-cost, customizable Arduino-based TEER meter for continuous electrical resistance measurements in epithelial and endothelial cell lines.

The paper develops and validates a sCT-based finite element analysis pipeline to predict strain in Thoroughbred racehorse condyles and assess stress fracture risk.

This paper develops ultrathin collagen sheets with non-linear tensile behavior, mimicking native tissue properties for biomedical applications.

This study identifies critical parameters for lipid-anchored protein loading into extracellular vesicles and demonstrates efficient intracellular delivery.

This study uses machine learning to enhance focused ultrasound for BBB opening, improving nanoparticle delivery and tumor DNA detection in brain tumors.

This study uses a 3D hydrogel model of the brain perivascular niche to investigate how radiation dosage and delivery rate affect niche properties in vitro.

This paper demonstrates the feasibility of controlling endothelial cell density in tissue-engineered endothelial keratoplasty (TEEK) by adjusting seeding density, achieving high cell viability and paving the way for super TEEKs.

The paper uses human endocervix chips to show that IL-1 receptor antagonists may prevent preterm labor by reducing cervical dysfunction.

This study enhances CAR-NK cell functionality using non-viral base editing and transposon integration, showing improved therapeutic potential in Burkitt's lymphoma models.

This paper uses a physics-based model of brain networks to show that frequency-selective stimulation entrains specific sub-networks, with lower frequencies promoting broader synchrony and higher frequencies producing localized effects, determined by network structure and oscillatory dynamics.