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This paper introduces MiPS, a microfluidic platform for automated single-cell selection based on dynamic, multi-trait phenotypes using real-time imaging and optical targeting.

This paper presents a computational pipeline for designing VHH nanobodies against LGR5 without structural templates, resulting in high-affinity, stable binders validated by cryo-EM.

This study identifies small molecules that selectively bind to mucins in the gastrointestinal tract, enhancing localized drug delivery to the small intestine and stomach.

This paper designs small single domain proteins that present three distinct viral epitopes using deep learning, showing improved immunogenicity compared to single-epitope designs.

This study characterizes hyperintense signals in pCASL MRI of mice, showing they appear in arteries, veins, and ventricles, differing from humans, and identifies optimal PLD and crusher gradient settings for accurate CBF measurement.

This paper designs AAV vectors with enhancer-controlled ITR promoters to improve payload capacity and enable tissue-specific gene editing with a single AAV.

This paper develops TAT2 inks for precise endoscopic marking of gastrointestinal lesions, showing improved localization and reduced inflammation compared to existing carbon inks.

The paper develops a high-precision fluorescence tomography system integrated with a small animal irradiator for pre-clinical radiation research, achieving sub-millimeter localization accuracy in both phantom and in vivo models.

This paper explores the scalability of random forest models in myoelectric control, showing they can be reduced in size with minimal accuracy loss and benefit from higher input dimensions.

This study simulates human-in-the-loop optimization using Bayesian Optimization (BO) and Dynamic Bayesian Optimization (DBO) to assess DBO's effectiveness in scenarios involving motor learning, finding that DBO generally outperforms BO after sufficient iterations.

This paper introduces a nitric oxide-releasing hydrogel catheter lock that prevents bacterial contamination and improves hemocompatibility.

This study compares co-electrospinning and blend electrospinning of polycaprolactone and SIS for bone wrap fabrication, showing co-spun wraps improve handling, infection control, and angiogenesis.

This study identifies key residues in HphA that influence substrate specificity through site-directed mutagenesis, showing that the A73L mutation broadens its substrate range.

This study uses 3D human skeletal muscle organoids to show that high-dose NRH promotes early differentiation but causes structural and functional defects in muscle tissue.

This paper develops a wireless pacing system to induce persistent atrial fibrillation in swine, demonstrating its ability to adjust pacing frequencies remotely and safely.

This study characterizes hydrogel viscoelasticity at micro- and macro-scales using AFM and finite element modeling, developing a model with <5% error for parameter prediction.

The paper identifies and optimizes a novel chimeric transposase system from pea aphids, enhancing transposition efficiency in mammalian cells for improved biologics manufacturing.

The paper introduces Living Neurosheets, modular neural systems that enable scalable, bio-inspired neural architectures with spatial control and multimodal integration.

This study improves nanobody structure prediction by using synthetic data and a classifier to filter structural accuracy, achieving better results than existing methods with lower computational cost.

This paper introduces erasable serum markers (ESMs) to improve the sensitivity and temporal resolution of brain gene expression monitoring through blood tests.