281 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 study characterizes the optical properties of key tissue chromophores and tissue-mimicking phantoms across visible to short-wave infrared (SWIR) wavelengths, providing a consistent dataset integrated into an open-source toolkit to facilitate the design and simulation of next-generation SWIR spectroscopy and imaging technologies.
This paper presents an open-source, data-driven geometric framework that utilizes regression models trained on large anthropometric datasets to accurately estimate body segment inertial properties across diverse adult morphologies, including those with obesity, thereby outperforming existing methods and enhancing biomechanical analyses.
This paper introduces dodecagon light-sheet fluorescence microscopy (dodecaLSFM), a novel imaging technique that utilizes twelve omnidirectional light sheets to eliminate striping artifacts and achieve high-resolution, uniform large-volume imaging of cleared tissues, such as whole mouse brains, at both vascular and cellular levels.
This study presents a multiscale computational framework that successfully reproduces murine uterine electrophysiological properties from cellular to tissue levels during late pregnancy, identifying the regulation of specific ion currents (IK1, ICaL, and INa) as critical drivers in the transition from quiescence to labor.
While PLLA-PGA-CC scaffolds demonstrated biocompatibility and a trend toward enhanced bone regeneration compared to empty controls in a sheep mandibular defect model, their clinical utility for critical-sized defects is limited by poor osteoconductivity, fibrous tissue infiltration, and cyst formation.
This study demonstrates that engineering a dextran sulfate-coated nanoparticle platform to specifically target antigen-presenting cells significantly enhances the safety, therapeutic window, and anti-tumor efficacy of the TLR3 agonist poly(I:C) in a metastatic ovarian cancer model by reducing systemic toxicity and improving tumor delivery.
This paper proposes a mathematical model of bone adaptation where the mechanical setpoint is explicitly embodied by osteocyte properties and adapts over time and space due to cell replacement, revealing that biological disruptions in remodelling can lead to irreversible hysteresis in bone response that mechanical feedback alone cannot compensate for.
This paper demonstrates that leveraging large language models, particularly Gemma 3 with SentencePiece tokenization and few-shot prompting, as a post-processing step can effectively correct character-level errors in P300 speller output, thereby enabling faster communication with fewer stimulus repetitions while maintaining high accuracy for users with motor and speech disabilities.
This study demonstrates that catalytic rewiring of the RuvC-II site in Fanzor2 activates robust trans-cleavage activity, enabling the development of versatile diagnostic platforms for sensitive pathogen detection and precise single-nucleotide variant genotyping.
This paper presents a semi-quantitative HIV-1 detection method that utilizes a ResNet convolutional neural network to analyze spatiotemporal fluorescence patterns from isothermal amplification in microfluidic chips, achieving high accuracy across a five-order-of-magnitude concentration range and enabling rapid, decentralized molecular diagnostics.