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This paper presents a CMOS lab-on-a-chip system with a passive RFID interface for wireless capacitance sensing of biological specimens.

This study uses a 1D U-Net to estimate ankle and knee joint angles from sEMG signals in children, showing improved accuracy with age and stability during gait transitions.

This paper develops a 3D bioprinted model of fat-myocardium to study how adipocyte hypertrophy contributes to atrial dysfunction in obesity and shows metformin improves electrophysiological function.

This study identifies metabolic starvation-induced cell swelling as the primary driver of solid stress in tumors, revealing a mechanical basis for genomic instability and treatment resistance.

This study investigates the regulation and function of trans-physeal growth plate bridges in mice, finding they serve a mechanical role to reduce epiphyseal shear stress during bone growth.

This paper introduces a regenerative molecular recording system called hypercascade that enables deep lineage reconstruction by maintaining a constant mutation rate over time.

This paper introduces a thermophoresis-based method to create stiffness gradient hydrogels and demonstrates their impact on cell morphology and migration.

This paper introduces PHASER, a method for rapid, multiplexed fluorescence imaging using plasmonic heating to activate DNA thermal probes, achieving 5 targets in a single channel.

The paper optimizes gene editing tools for Capsella bursa-pastoris, creating a homoeolog-aware gRNA database and demonstrating successful in vivo editing of homoeologous genes.

This study models the acoustoelectric effect by examining how ultrasound modulates ion-solvent interactions, showing how acoustic pressure changes ion mobility and conductivity.

This paper introduces a 4D bioprinting platform that engineers anisotropic musculoskeletal tissues by controlling support bath stiffness to direct cell behavior and matrix organization.

The paper develops a sperm-based bioassay using motility parameters to diagnose cardiovascular and cerebrovascular diseases with high accuracy.

This paper develops a machine learning model to predict post-stroke aphasia speech performance using multimodal data, achieving high accuracy with explainable features.

This study evolves a microbial strain under dynamic conditions to optimize sugar catabolism, finding that mixed-sugar environments promote stable retention and coordinated optimization of multiple pathways.

This study develops a sodium ion-assisted structural lipidomics method to improve ceramide annotation by stabilizing ions and enabling structural determination of hydrophobic moieties.

This paper develops a low-cost, field-compatible SERS substrate fabrication method using common materials and battery power, achieving high sensitivity and reproducibility for detecting pesticides and bacteria.

This study investigates the stability and endocytosis mechanisms of PEGylated polymeric mesoscale nanoparticles, finding they are dynamin- and macropinocytosis-dependent.

This paper introduces an ultrafast method for cell membrane modification using diazonium salts, enabling efficient and safe functionalization of various cell types for biomedical applications.

This study shows that prophylactic Lipoxin A4 reduces Clostridioides difficile infection by improving epithelial barrier function and reducing inflammation in both in vitro and mouse models.

This paper engineers inducible flocculation in K. phaffii using CRISPR/Cas9 to improve biomass separation without affecting recombinant protein production.