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This study systematically evaluates how different photoinitiators affect the physicochemical and biological properties of GelMA hydrogels, identifying optimal conditions for various biomedical applications.

The paper introduces a physics-informed generative model to create realistic training data for localization microscopy, improving performance in challenging conditions.

This study identifies factors affecting assay yield and replicability in microfluidics-integrated silicon photonic biosensors and proposes strategies to improve performance.

The paper records extracellular spikes in Hericium erinaceus biofilms using microelectrode arrays and shows nystatin reduces spike amplitude and alters waveform characteristics.

This paper develops an injectable GelMA hydrogel with MSN-mediated spatiotemporal Icariin release to enhance osseointegration in bone defects.

This paper develops wafer-scale epitaxial alpha-quartz thin films for high-frequency piezoelectric bioNEMS to detect arboviruses with high sensitivity and low detection limits.

This paper develops a multi-scale machine learning model to predict muscle and functional disease progression in FSHD using MRI and clinical data, achieving strong predictive performance in holdout datasets.

The paper develops isogenic lung-on-chip models from iPSC-derived cells to study tissue-specific immune responses to SARS-CoV-2 and Influenza viruses.

This paper develops and validates a subject-specific integrated finite element-musculoskeletal model of the human trunk to simulate spinal mechanics in ergonomic and clinical contexts.

This paper introduces iTCI, a multi-drug infusion method that integrates pharmacometric models and drug interactions to improve anesthesia delivery compared to traditional TCI.

This paper develops a nanocomposite that enhances immune checkpoint therapy by inducing ferroptosis and cuproptosis in cancer cells and modulating the tumor microenvironment.

This study shows that short-term maternal obesity in rats leads to increased placental vessel density, indicating compensatory hypervascularization before systemic metabolic disease.

This paper introduces two new population models to describe microbial growth and decay in batch bioreactors, incorporating memory effects through cumulative biomass.

This paper introduces a 3D-printed handheld device for rapid citrus tissue lysis and nucleic acid extraction, achieving efficient results in 12 minutes with reliable performance across pathogens.

This paper develops a 3D-printed MXene-based scaffold that enhances electrical stimulation for neural repair by optimizing micro-mesh structure and electroconductivity.

This study characterizes the mechanical and sensory properties of fungi-based steak, finding it to be moist, viscous, and fibrous, with unique anisotropic behavior under dynamic compression.

This study evaluates how different noises affect a DNN-based gesture recognition system using HD-sEMG, finding that feature type and noise type influence performance degradation.

This paper identifies glucose as a reprogramming agent for the airway microenvironment to enhance mRNA delivery and efficacy in lung models.

This paper introduces two wireless behind-the-ear EEG sensors that synchronize data via a USB dongle, enabling improved signal processing for auditory steady-state response detection.

This paper reviews electro-composting systems, identifying four main types and highlighting their benefits in improving composting efficiency and environmental sustainability.