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This study shows fibroblasts regulate lymphatic barrier function by modulating junctions and cytoskeletal structure, with tissue-specific effects on endothelial behavior.

This study uses LSCI and DNN models to attempt early sex identification of chick embryos but finds insufficient accuracy for practical use.

This paper investigates the structure and mechanics of the sheep calcaneal enthesis to inform scaffold design for tissue engineering.

The paper develops a 3D bioprinted bone model from patient-derived cells to study donor-specific therapeutic responses to DKK1Ab in osteogenesis imperfecta.

The paper introduces CHASING, a method for gain- or loss-of-function screening using chromosome-segment deletions, and applies it to identify metabolic engineering targets in B. subtilis.

This paper presents an OECT-based sensor for rapid, sensitive detection of extracellular vesicles in Alzheimer's disease, showing improved sensitivity and reduced detection time.

This study examines how individual neurons adapt during behavioral training and finds that neurons with strong population co-variation and prior behavioral contribution are less likely to change their activity.

This paper develops a biofabrication method to create mini-tendons with tunable matrix stiffness and microchannel dimensions, showing that mechanical confinement influences nuclear morphology and cell alignment.

VARS-fUSI improves functional ultrasound imaging efficiency by reducing sampling time and rate while maintaining signal quality and enabling cross-species generalization.

This study identifies a miR-374b mimic that selectively inhibits GVHD while enhancing GvL, demonstrating the potential of chemically modified miRNA therapies to improve T-cell-based cancer treatments.

This study develops self-assembled multi-zonal liver organoids from human pluripotent stem cells, revealing zonal-specific functions and epigenetic mechanisms that mimic human liver architecture.

This paper introduces DA-MEK, a high-throughput platform for enzyme variant screening and kinetic analysis using droplet arrays, demonstrating accurate and efficient measurement of catalytic efficiencies.

This paper uses a Bayesian network model to analyze how mechanical loading and hormonal changes contribute to eccentric hypertrophy in volume overload, showing neurohormonal responses drive growth rather than initial stretch.

This paper introduces a convolutional neural network for aberration correction in laser scanning microscopy using detector array data, achieving high-resolution imaging with minimal sample stress.

This study introduces a biomechanics-histology FEA framework to simulate BigMACS and derive mechanobiology design relationships for controlling cell behavior and tissue patterning.

This study evaluates engineered E. coli strains expressing carbon monoxide dehydrogenase (codh) for enhanced CO2 conversion to acetic acid, formic acid, and ethanol in microbial electrochemical systems.

The paper develops a 3D-printed microfluidic device with cascaded nozzles to control multilayered co-axial flows, achieving a minimal delay time and reduced backflow index.

This paper introduces a new flat-sheet membrane bioreactor for controlled gas delivery at low fluxes, validated with oxygen and starch wastewater, showing stable performance over 320 days.

This paper uses simulations to predict energy savings from exotendons at 4 m/s, finding that longer, stiffer designs offer greater savings than shorter, more compliant ones.

This study attempts to engineer the reductive glycine pathway in Parageobacillus thermoglucosidasius for formate and methanol assimilation but finds limited success due to metabolic limitations and incomplete pathway implementation.