354 papers
This study synthesizes nearly one million progeny data points from 42 publications to demonstrate that while species identity is the primary determinant of CRISPR/Cas9 gene drive performance, the specific combination of design choices rather than individual factors drives variability, ultimately providing a community resource to optimize future gene drives for vector control and invasive species management.
This paper introduces NaTaLi, a versatile "plug-and-play" system that enables the rapid, stable, and uniform functionalization of isolated extracellular vesicles with any ALFA-tagged protein via nanobody adapters, thereby eliminating the need for labor-intensive genetic engineering of parental cells and demonstrating effective tumor-targeted delivery in vivo.
This study demonstrates that a fully implantable bioelectronic system delivering daily early electrical stimulation significantly enhances functional recovery and muscle regeneration in a rat model of volumetric muscle loss by promoting vascularization, pro-regenerative macrophages, and satellite cell activity.
This study reports a spin-state modulation strategy using Fe nanoclusters to induce atom-cluster synergy in Fe-N-C nanozymes, which steers H2O2 conversion toward a highly selective catalase-like pathway to effectively scavenge reactive oxygen species and treat rheumatoid arthritis.
This study presents a validated stoichiometric model of chondrocyte metabolism that reveals how cyclical shear and compressive loading drive sex-dependent metabolic responses in osteoarthritic cells, identifying nitrogen availability as a critical limitation for cartilage matrix protein synthesis and suggesting glutamine supplementation as a strategy to enhance tissue repair.
This paper presents a fully open-source, purpose-built liquid-handling robot assembled from off-the-shelf components that enables industry-class, high-throughput automated experiments with customizable control, validated by its successful deployment in a complex turbidostat workflow and its rapid reproducibility by laboratory personnel.
This paper proposes a novel CVAE-based causal representation learning framework that utilizes retinal fundus images to disentangle underlying Age-Related Macular Degeneration mechanisms, thereby enhancing the accuracy and reliability of AMD prediction and diagnosis.
This paper presents a depth-sensitive, multi-frequency laparoscopic spatial frequency domain imaging (SFDI) framework that utilizes a -P1 diffusion model to accurately estimate optical properties in layered tissues, thereby enabling improved dosimetry and quantitative fluorescence mapping for personalized chemophototherapy in ovarian cancer.
This study demonstrates the successful application of CRISPR-Cas9 and PiggyBac gene editing techniques to target olfactory and non-lethal phenotypic genes in two medically important sand fly species, providing robust evidence for disrupting Leishmania transmission through heritable genetic modifications.
This paper introduces "TVAM-in-a-chip," a versatile platform that integrates tomographic volumetric additive manufacturing directly into preassembled microfluidic devices to rapidly fabricate complex, biomimetic 3D organ-on-chip models without the need for error-prone post-fabrication assembly.
This study demonstrates that a deep learning-based computer vision framework (SLEAP) can quantitatively evaluate laryngeal mobility and detect asymmetry in a rat model of recurrent laryngeal nerve injury by tracking arytenoid process displacement with high precision.
This study presents an interpretable AI-driven materiomics platform that utilizes high-throughput data from binary methacrylated alginate-gelatin hydrogels to decode complex microenvironmental cues, successfully predicting optimal formulations for enhancing mesenchymal stem cell immunomodulation and identifying matrix stiffness as the dominant factor in regulating macrophage polarization.
This paper presents VascFlexMap, a transformer-decoder deep learning framework that reconstructs coherent microvascular maps from sparse, low-frame-rate ultrasound data, offering a clinically viable alternative to traditional super-resolution ultrasound by significantly reducing data requirements and reconstruction time while preserving vascular topology.
This study introduces an automated framework for generating demographically stratified virtual abdominal aortic aneurysm populations to demonstrate that proximal neck diameter and shape compactness, rather than maximum diameter alone, are the primary determinants of aneurysm haemodynamics.
This study demonstrates that genetically engineering the carbon monoxide dehydrogenases in *Clostridium autoethanogenum* by extending the AcsA protein or deleting the CooS1 enzyme significantly alters autotrophic growth, carbon/redox flux distribution, and product profiles, thereby identifying these enzymes as key targets for optimizing acetogen cell factories.
This paper introduces i-Bind, an in situ nanoparticle platform that utilizes polyphenol-mediated red blood cell hitchhiking to achieve lung-selective drug delivery and immune reprogramming, thereby overcoming circulation barriers and enabling targeted treatment of lung pathologies without the need for ex vivo cell manipulation.
This study introduces pCAST, a scalable photopatterning and sacrificial templating strategy that enables the fabrication of perfusable, centimeter-scale vascular networks within 3D tissue constructs, establishing a validated computational framework that links vascular architecture to oxygen distribution and tissue viability for regenerative medicine applications.
This study demonstrates that substituting lead tungstate for lead abellaite in a nanoparticle-alginate nanocomposite maintains delivery viscosity and radiopacity for post-mortem CT imaging, despite a reduction in mechanical strength, thereby supporting further advancement to in vivo small animal trials.
This study presents a rapid, portable Cas13a-based assay that accurately predicts cefixime susceptibility in *Neisseria gonorrhoeae* by detecting specific *penA* gene mosaicism, demonstrating high concordance with standard genotypic and phenotypic methods while retaining functionality in a lyophilized format for field deployment.
This study establishes a modular framework for programmable lipid nanoparticle targeting by combining dead ApoE mutants or hyperactive PCSK9 to suppress liver uptake with antibody conjugation to successfully retarget LNPs to diverse extrahepatic tissues, including T cells, brain, and heart, while maintaining therapeutic efficacy.