196 papers
Bioengineering sits at the vibrant intersection of biology and engineering, where scientists design new tools to understand life and solve real-world problems. From creating artificial organs to developing smart materials that mimic natural tissues, this field turns complex biological questions into tangible innovations that improve human health and our environment.
At Gist.Science, we track every new preprint in this category directly from bioRxiv. Our team processes each submission to provide both plain-language explanations for curious minds and detailed technical summaries for researchers, ensuring these cutting-edge discoveries are accessible to everyone. Below are the latest papers in bioengineering that have recently appeared on bioRxiv.
This paper presents a gradient-specified optimization framework that automates musculotendon path modeling by simultaneously satisfying geometric constraints and matching experimental moment arm data, resulting in anatomically realistic and biomechanically accurate paths generated efficiently for large-scale applications.
This paper presents a hierarchical mechanically adaptive enzymatic biosensor (E-cardiac) that enables real-time, stable monitoring of cardiac oxidative stress on beating hearts by mitigating deformation-induced artifacts, thereby allowing for the precise differentiation of ischemia-reperfusion injury severity and guiding surgical interventions.
This study presents a membrane-free human alveoli-on-a-chip utilizing a biodegradable PLGA scaffold that is replaced by fibroblast-derived ECM to recapitulate native interstitial mechanics, thereby preventing stiffness-induced fibrosis, enabling immune cell trafficking, and facilitating efficient aerosolized mRNA delivery.
This study demonstrates that coordinating the engineering of a novel ionizable lipid (N4Z) with specific formulation adjustments redirects mRNA vaccine biodistribution from the liver to lymphoid tissues, thereby enhancing innate immune priming and driving robust, protective CD4+ T cell immunity.
This paper introduces a substrate-confined oligonucleotide linking strategy that coordinates the delivery of multiple AAV vectors, significantly improving the efficiency and uniformity of large genetic system reconstitution and prime editing at reduced viral doses.
This paper presents an integrated framework that automates the generation of bio-informed, closed-circuit microvasculature models by combining a stochastic growth algorithm, an inverse design strategy, and a rapid electrical network dynamics solver to bridge the gap between in silico simulations and in vitro microfluidic applications for studying vascular function in health and disease.
This paper presents Generative Lung Architecture Modeling (GLAM), an integrated framework that combines high-resolution 3D imaging with a U-Net generative diffusion model to design and 3D-bioprint anatomically accurate, biologically compatible lung microtissues for disease modeling and regenerative medicine.
This study presents a scalable, micro-patterned hydrogel vascular graft that utilizes engineered shear stress redistribution and a bioactive matrix to accelerate the formation of stable, mature endothelial monolayers, offering a promising solution for creating growth-competent, thrombosis-resistant small-diameter grafts for pediatric patients.
This study demonstrates that while cow parity has a comparable impact on the accuracy of near-infrared spectroscopy for predicting milk fat and somatic cell count, it significantly affects lactose measurement reliability, indicating that parity-specific calibration is essential for sustainable, real-time milk quality monitoring.
The paper introduces EnhancAR, an autoregressive deep learning model that leverages evolutionary conservation in unaligned homologous enhancer sequences to generate functionally diverse and cell-type-specific enhancers without relying on scarce labeled cell type data.