234 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 introduces a modular bio-hybrid skin model that integrates an optically tunable artificial epidermal layer with living human keratinocytes to create a reproducible, biologically responsive test system for biomedical optics that bridges the gap between inert synthetic models and variable tissue-engineered constructs.
The paper introduces Bio-CM{superscript 2}, a compact computational miniature mesoscope that utilizes distributed computational optics to overcome traditional trade-offs between field of view and spatial resolution, enabling simultaneous cortex-wide, cellular-resolution in vivo imaging across diverse biological systems.
This study presents a bioengineering strategy using surfactant-like peptides to stabilize pH-responsive, sub-micron membraneless organelles within synthetic cells, enabling precise size control that enhances enzymatic reaction rates and facilitates programmable functional compartmentalization.
This study presents a computationally guided metastasis-on-a-chip platform that utilizes finite-element simulations to rationally design microfluidic assays for quantitatively evaluating tumor-specific chemotactic responses to VEGF signaling, thereby minimizing empirical trial-and-error in studying developmental cancer metastasis.
This paper introduces the TMSE-BioCRNpyler Library and its accompanying txt2biocrnpyler tool to enable automated, interoperable mechanistic modeling of toehold-mediated strand exchange circuits across diverse biological contexts, validated by high accuracy against existing literature models.
This study demonstrates that immortalized human splenic fibroblasts can stably express SARS-CoV-2 RBD-sfGFP for over three months, validating them as a viable platform for recombinant protein production while revealing that expression stability is maintained through oscillatory dynamics rather than progressive silencing, albeit with increasing inter-cellular heterogeneity over time.
This paper presents an edge-first wearable system using consumer smartwatches and a compact temporal convolutional network to estimate vertical ground reaction forces locally, achieving strong correlation with laboratory measurements, particularly for cyclic locomotion.
Despite plant-based breaded shrimp exhibiting significantly higher instrumental hardness, stiffness, and chewiness than conventional shrimp, consumer sensory evaluation revealed no significant differences in hedonic ratings or purchase intent, suggesting that the breaded format effectively masks these textural disparities and that achieving instrumental texture parity is not essential for consumer acceptance.
This study introduces a label-free, single-cell monitoring approach combining surface-enhanced Raman spectroscopy and machine learning to dynamically track both the identity and activation states of CAR T cells across donor-derived models and clinical patient samples, offering a rapid, point-of-care alternative to current static phenotyping methods.
The paper introduces **golgi**, an open-source, graphical platform that democratizes peripheral nerve stimulation modeling by integrating the entire workflow from anatomical imaging to fiber recruitment prediction, thereby enabling researchers and clinicians to achieve anatomically realistic, verifiable, and reproducible in-silico studies without requiring specialized coding expertise.