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This paper introduces TOF-iSCOS, a method combining interferometric speckle-contrast optical spectroscopy with time-of-flight gating to enable depth-resolved blood-flow sensing, showing improved noise resistance and depth sensitivity.

This study shows that tunable hydrogels can enhance zone-specific chondrocyte phenotypes and promote zonally organized cartilage formation.

This study uses [11C]glutamine PET to analyze glutamine metabolism in breast cancer mouse models, revealing subtype-specific metabolic differences and the impact of GLS1 inhibition.

This study investigates how tempo, dynamics, and string affect physical exposure in violinists, identifying variance patterns and supporting targeted prevention strategies.

This study investigates how particle size affects mucociliary transport in normal and cystic fibrosis airways using a trachea-on-a-chip model.

This paper introduces a method to create skin models with dermal-epidermal junction-like microtopography using hydrogel swelling, supporting cell co-culture and stratified epithelia formation.

This paper develops viroVbot, an in vivo CAR-T platform with reduced immunogenicity and safety, showing efficacy in treating multiple myeloma and gastric cancer through sequential redosing.

This paper introduces 3D-ADE, a toolkit for adaptive 3D deconvolution and evaluation of volumetric fluorescence microscopy, improving resolution and fidelity through physics-based PSF calibration and deep learning.

This paper introduces a solvent-free nanoparticle formulation method (SNAP) that rapidly produces stable drug-loaded polyester nanoparticles and demonstrates their vessel size-dependent perivascular transport in vivo.

This paper engineers an improved IgG-degrading enzyme, IdeSM33, showing enhanced activity and IgG depletion in vivo, with therapeutic potential for autoimmune diseases and gene therapy.

This study demonstrates that intrathecal infusion of hypertonic fluid enhances cerebrospinal fluid flow, significantly improving nanoparticle delivery to the central nervous system.

This paper uses machine learning and SWCNT spectral fingerprinting to detect and subtype breast cancer cells in live culture with high accuracy.

This paper introduces APRIL, a method for 2D depth-resolved anisotropy imaging using ARFI, achieving SMR prediction errors below 9% and SSIM up to 86% in heterogeneous phantoms.

The paper introduces a sample-loading strategy for microfluidic spore germination monitoring, enabling multiplexed experiments by allowing multiple spore strains to be tested in different microenvironments.

This study evaluates how electrode size and stimulation configurations affect nerve selectivity in spinal cord stimulation, finding that 500 µm electrodes provide the best selectivity.

This paper develops an immobilized neuroglobin-based system for CO removal, showing preserved activity and recyclability in a solid matrix.

This study uses proteomics to distinguish scalp hair from pubic hair, identifying specific keratin-associated proteins and amino acid compositions as markers for anatomical origin.

This study evaluates FUS-BBBO for delivering LNP-packaged modRNA to the cerebellum in NPC mice, finding BBB opening but no detectable protein expression or therapeutic benefit.

This paper develops an impedimetric aptasensor using DNA tetrahedral nanostructures for ultrasensitive IL-6 detection with a limit of detection of 55 ag/mL.

This paper develops a portable, smartphone-compatible electrochemical sensor for serotonin detection in serum, demonstrating high sensitivity, selectivity, and reliability in clinical samples.