280 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 establishes optically transparent *Aiptasia* larvae as a validated model for coral bleaching and introduces SYMPHONY, a machine-learning image-analysis pipeline that enables rapid, high-throughput, and accurate phenotyping of symbiotic algae localization under heat stress.
The paper introduces CONAN-SWIFT, a rapidly deployable platform that integrates computational design, RT-LAMP amplification, and CRISPR-Cas3 detection to enable sensitive, portable diagnosis of emerging RNA viruses within approximately three weeks of sequence availability.
This paper introduces a transferable pipeline combining a light sheet microscope with machine learning-based processing to overcome speed, phototoxicity, and data complexity barriers, thereby enabling practical long-term and high-speed volumetric fluorescence lifetime imaging (vFLIM) in living systems.
This paper presents a low-cost (~$700), open-source monophasic transcranial magnetic stimulator that utilizes a thyristor-driven capacitor discharge and ZVS charging circuit to generate therapeutic-level electric fields while incorporating multiple safety features and a method for estimating cortical stimulation strength.
This study demonstrates that silicate-phosphate substituted hydroxyapatite co-doped with lithium, europium, and gadolinium ions serves as a multifunctional biomaterial platform that modulates early molecular pathways in human bone marrow stromal cells without significantly enhancing their terminal differentiation into osteogenic, chondrogenic, or adipogenic lineages.
This study demonstrates that deep learning-enhanced semisolid magnetization transfer and relayed nuclear Overhauser effect magnetic resonance fingerprinting at 7T enables rapid, quantitative detection of early myelin loss in a cuprizone-induced multiple sclerosis mouse model, outperforming conventional relaxometry and correlating with histological findings.
This study identifies and characterizes five compact MG102-like type II-D Cas9 orthologs, demonstrating that two of them (Cas9d-1 and Cas9d-4) outperform the previously known MG102-2 in editing efficiency and specificity, thereby offering promising single-AAV-compatible scaffolds for therapeutic genome editing.
This study presents a two-phase AI-integrated computational pipeline that successfully designed and experimentally validated high-affinity de novo protein binders targeting the BMP-2 knuckle epitope, offering a precise, affinity-tuned therapeutic strategy to overcome the limitations of current bone regeneration treatments.
This study demonstrates that incorporating ECG-derived features into machine learning models significantly improves the accuracy of classifying expert-confirmed interictal epileptiform discharge epochs into specific scalp-distribution categories, with SHAP analysis revealing substantial predictive contributions from ECG channels and beta-band power without establishing causal physiological mechanisms.
This study demonstrates that while melt electrowritten polycaprolactone scaffolds can be rendered electrically conductive via gold sputter coating or polypyrrole polymerization, only the gold-coated variant successfully supports synchronized cardiomyocyte contraction by balancing electrical conductivity with the necessary mechanical compliance, highlighting that successful cardiac tissue engineering requires the integrated optimization of architecture, mechanics, and conductivity rather than conductivity alone.