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The paper measures intracochlear pressure during mastoidectomy to quantify noise exposure to the inner ear and finds levels exceeding 120 dBA, with a peak at 1.33 kHz.

This study generates starch mutants of Chlorella vulgaris and evaluates their lipid and biomass productivities under different culture conditions, finding that mixotrophic growth on glucose significantly increases lipid productivity.

The paper introduces STEAM, a microfluidic platform for creating suspended tissue constructs with spatial patterning and mechanical manipulation capabilities, demonstrating its use in engineered muscle tissue.

This paper improves de novo peptide binder design by combining peptide-specific finetuning with a novel decoding order strategy, achieving a 16-30% increase in in silico success rates and doubling top-ranking agonists for OPRM1.

This paper introduces a DNA framework vesicle nanoreactor that enables programmable and quantifiable membrane fusion by controlling geometry and kinetics.

This study investigates how DNA methylation and H3K9me3 maintain transgene silencing and shows that targeted DNA demethylation can reverse it in mammalian cells.

The paper introduces MetaSpread, a Python simulation tool for tumor growth and metastasis, based on a hybrid mathematical model incorporating cellular dynamics and abiotic factors.

This paper introduces Bio-AMLM, a framework that dynamically constructs analytical pipelines for predicting cellular responses to novel perturbations, outperforming existing methods in bio-simulation benchmarks.

This paper describes the synthesis of green-emitting carbon quantum dots and evaluates their biocompatibility and cellular uptake in mouse and zebrafish models.

This study shows that the functional base of support area decreases with age, correlating with physical performance and frailty in older adults.

This paper develops a cap-independent mRNA vaccine platform that enhances antitumor immunity through intrinsic adjuvanticity and improved in vivo expression.

Bioprinted auricular grafts develop native-like elastic cartilage and advance towards a durable therapy for children with microtia.

This paper introduces CO-GEMs as a multifunctional adjunct to HIPEC, improving efficacy, preventing adhesions, and reducing nephrotoxicity in ovarian cancer models.

The paper develops a synthetic BM niche model to test CRISPR-CAR T-cell therapy for AML, showing its efficacy in a human-like environment.

This study develops a Tumor-on-Chip platform for rapid drug testing in breast cancer, showing high concordance with patient-derived xenografts and potential for clinical use.

This paper develops a brain delivery system using RVG29-conjugated chitosan nanoparticles to deliver kisspeptin agonists and antagonists, showing enhanced brain accumulation and effective modulation of reproductive functions.

This study uses a Design-of-Experiments approach to engineer 3D topographical features in osteosarcoma models, showing that 3D culture context significantly affects cell behavior and drug response.

This paper proposes a machine learning model for Drug-Drug Interaction (DDI) extraction using TF-IDF, Random Forest, Gradient Boosting, SVM, and BioBERT to predict interactions and side effects from text data.

This paper develops AttCatVgg-Net, a deep learning model that classifies cataract stages and predicts visual acuity using multicolor fundus images, achieving high accuracy and strong correlation with actual VA.

The paper evaluates amplification lag in paper-based LAMP assays and shows BSA pre-coating reduces it by improving diffusion and reducing adsorption.