279 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 demonstrates that commercial flow cytometry-based sorting, combined with surface-modified polystyrene laser particles, enables the efficient enrichment of HEK293T cells with controlled numbers of microlasers while maintaining cell viability and facilitating the creation of defined multi-cellular spheroids for advanced tissue engineering applications.
This study demonstrates that a radiation-free electroencephalography (EEG) framework can accurately estimate the rotational orientation of directional deep brain stimulation leads by matching stimulation artifact topographies to forward models, achieving high precision in phantom tests and clinically plausible results in postoperative human patients.
This study demonstrates that normative modeling of molecular-enriched functional connectivity, when adapted via local calibration, can detect spatially selective and neurotransmitter-specific deviations in cognitively unimpaired older adults with intermediate amyloid burden, offering a deployable framework for identifying early pathological aging signatures.
This study demonstrates that incorporating subject-specific T1-weighted structural MRI information into deep learning reconstruction significantly improves the image quality of highly accelerated 3D snapshot CEST MRI, although these gains do not consistently translate to better preservation of derived CEST contrast metrics.
This study develops synthetic genetic circuits in *Arabidopsis thaliana* that utilize serine recombinases to irreversibly record and distinguish successive root branching events, thereby enabling differential gene expression and engineering at the resolution of individual root branches.
This study presents a scalable, semi-automated, and xeno-free platform using hyaluronic acid core-alginate shell capsules under dynamic culture conditions to synergistically enhance the osteogenic differentiation of encapsulated human mesenchymal stem cells, thereby advancing the generation of physiologically relevant 3D microtissues for disease modeling and drug testing.
RNASeek is a 1.6-billion-parameter generative foundation model that leverages reinforcement learning to unify RNA sequence representation, functional prediction, and de novo design, successfully generating experimentally validated ribozymes and 3' UTRs with enhanced performance.
This study reveals that successful bone fracture healing depends on a critical early mechanosensitive window where initial mechanical compliance promotes chondrogenic repair, which must subsequently be followed by increased stiffness to redirect the process toward bone formation, a transition mediated by Piezo1 signaling.
The Stanford Balance Level Evaluation (StaBLE) is a validated digital assessment tool comprising 18 video-based tasks that effectively quantifies a wide spectrum of balance abilities, overcoming the limitations of existing clinical scales by demonstrating strong correlations with standard measures and the ability to distinguish fall risk across diverse populations.
This paper presents a computational pipeline, available as both an interactive 3D Slicer extension and a command-line tool, that stabilizes adaptive optics line confocal ophthalmoscopy videos against eye motion and accurately quantifies retinal capillary blood flow velocities with a 4% error margin.