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The paper shows that single pointwise E-field samples cannot predict neural activation thresholds, as thresholds depend on spatial integration of the E-field along the neural cable.

This paper develops an AI-enhanced non-invasive brain-machine interface (BMI) that improves control performance using a CNN and Kalman filter, enabling users to control cursors and robotic arms.

This study develops and evaluates PLGA-based nanocarriers for targeted and sustained drug delivery in vascular disorders, showing improved physicochemical properties, targeting efficiency, and controlled release.

This paper introduces a PDMS-based microwell device for generating uniform-sized cancer spheroids, enhancing 3D cancer modeling and drug testing.

This study shows that mechanical stretching can disrupt pathological crosslinks in fibrotic tissues, reversing fibrosis in mice when combined with pharmacological treatment.

This paper introduces a sound-driven microrobot inspired by sperm cell geometry, demonstrating directional propulsion and rheotactic behavior in fluid environments.

This paper uses machine learning to predict and mitigate nitrous oxide emissions from wastewater treatment systems by analyzing process variables and their impact on emissions.

The paper develops a human microphysiological model of dorsal root ganglion-spinal cord dorsal horn circuitry that mimics opioid-induced effects through electrophysiological responses.

This study investigates the effects of charged nanobubbles on the viability of human iPSC-derived neurons, finding that positively charged nanobubbles exhibit stronger cytotoxicity than negatively charged ones.

The paper develops a time-dependent model for cortical bone adaptation to mechanical loading using linear control theory and differential equations to analyze different response types.

Embedding day-8 cerebral organoids in Geltrex loaded with human brain microvascular endothelial cells, plus VEGF-supplemented mixed media, yields integrated endothelial networks and almost three-fold less apoptosis.

This paper introduces a bacteria-powered living material that significantly enhances coral larval settlement on restoration substrates.

This paper engineers Escherichia coli Nissle to deliver therapeutic peptides using CRISPR-Cas12 and an AI-based pipeline for peptide prediction.

This study uses dynamic optical coherence tomography to assess ex vivo mouse kidney viability during cold storage, identifying metrics that correlate with tissue health and deterioration.

The paper develops a genetic tool for Bactrocera zonata by creating a chromosome-level genome and CRISPR/Cas9-induced white-eye mutants to aid in Genetic Sexing Strain development.

This paper engineers human TRPV1 channels to detect near-infrared light by shifting their temperature sensitivity, enabling light-induced heat activation in retinal cells without immunogenicity issues.

This study estimates speech reception threshold using ear-EEG and finds it is reliable when combining in-ear and around-the-ear electrodes.

This study presents a computational framework for designing auxetic fiber scaffolds using Melt Electro-writing, validated through FEM modeling and experimental testing to achieve tailored mechanical properties for soft tissue engineering.

This paper develops a strategy to reduce immunotoxicity in self-amplifying RNA by encoding immune suppressors that bypass translation shutdown, enabling sustained transgene expression in mouse cells.

The paper demonstrates lipid nanoparticle-mediated mRNA delivery enables rapid, organ-wide protein expression in human-sized porcine donor kidneys during normothermic machine perfusion.