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This paper introduces a scalable tactile sensing platform to measure ground-contact forces in freely moving animals, detecting changes in limb loading after sciatic nerve injury.

This paper develops a real-time deep learning workflow for non-invasive high-magnification imaging of C. elegans, enabling stable imaging across magnifications without immobilization.

This paper explores a personalized EEG biofeedback approach for stress and focus management using subject-specific thresholds and a two-channel EEG setup.

This paper introduces an open-source, 3D-printable droplet microfluidics platform with stroboscopic microscopy for stable droplet generation and low-flow control.

This paper develops a nanotherapy to reprogram antigen-presenting cells and induce T cell anergy, delaying type 1 diabetes onset in mice.

The paper develops an interpretable computational SHG microscopy framework to classify cardiac remodeling states in mice with high accuracy.

This study compares EV yields and bioactivity between liquid-EVs and MBVs from MSCs, finding MBVs have significantly higher yields and are more effective in wound repair.

This paper develops a hybrid method combining deep reinforcement learning and statistical shape modeling to improve breast tissue classification in thermographic images, achieving 74.1% accuracy.

This study creates mesaconate-based polyester nanoparticles that show different immunomodulatory effects in macrophages and improve survival in endotoxemia.

This study examines how electrode coatings affect cell-electrode coupling and motility in different breast epithelial phenotypes, finding that coating effects vary with cell type.

This study shows that presenting collagen V at a cell-substrate interface enhances fibroblast traction, adhesion turnover, and migration, mimicking the effects of substrate stiffening.

This study shows that breast cancer subtype and radiation affect osteocyte mechanosensing, with ER+ tumors being more sensitive to radiation-induced secretome changes.

This paper introduces a micromanipulation platform to extract viable cell clusters from hydrogel-embedded 3D spheroids without disrupting the parent structure.

This paper develops a micropillar array platform to study how cancer cells respond to mechanical stiffness gradients at the cell scale, finding biphasic pillar displacement and increased traction forces with stiffness.

This study compares dual-enzyme spore display with mixed single-enzyme spores for cellulose hydrolysis, finding that mixing single-enzyme spores yields higher glucose production.

This paper evaluates residue-level attributions in protein language models using synthetic fitness landscapes and identifies interventions that improve attribution accuracy.

This paper introduces kinGEMs, a framework that integrates deep learning-predicted kinetic parameters into genome-scale models to improve metabolic modeling accuracy and scalability.

This paper develops 3D-bioprinted tumor-mimicking phantoms to benchmark nanofluorophores under surgical conditions, showing their ability to evaluate fluorescence properties and guide tumor resection.

This study displays a lichenase on Bacillus subtilis spores, enhancing its thermal stability and feed substrate hydrolysis efficiency compared to the free enzyme.