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 optimizes the growth conditions and post-processing methods for kombucha-derived cellulose non-wovens to achieve superior mechanical properties via lyophilization, while demonstrating a circular lifecycle through enzymatic degradation and electrospinning-based re-manufacturing.
This paper introduces DOCS, a combinatorial DNA origami platform that encodes information into scaffold molecules to achieve biologically replicable, thermostable, and randomly accessible data storage and molecular authentication, bridging the gap between classical sequence-based storage and DNA nanostructure methods.
This study demonstrates that multiplex-engineered rhesus macaque NK cells, modified to express CAR, CXCR5, IL-15, PD-1 knockout, and transient CCR7, are safe, expandable, and effectively home to SIV viral reservoirs within B cell follicles of lymphatic tissues, offering a promising strategy for HIV cure development.
This study advances Xolography for tissue engineering by developing a refractive index-matched bioink using iodixanol that enables high-resolution, volumetric printing of cell-dense (up to 5×10⁶ cells/mL) constructs with complex geometries and functional skeletal muscle tissue formation, while navigating the critical trade-off between optical transparency and photochemical reactivity.
This paper introduces ProtGPT3, an open-source family of promptable and aligned protein language models that demonstrates few-shot prompting and inference-time steering as scalable, effective alternatives to fine-tuning for generating functional and diverse protein sequences.
This study presents a spatially engineered hydrogel platform utilizing controlled morphogen exposure and digital light processing to direct the formation of posterior organizers in cerebral organoids, thereby enabling precise spatial patterning that more faithfully recapitulates native tissue organization.
This study proposes a computationally efficient pseudo-3D stochastic growth model based on Markov processes to simulate vascular plaque dynamics and derive optimal dosing curves for targeted drug delivery, overcoming the prohibitive costs of traditional 3D CFD while enabling personalized medicine strategies.
This paper presents a real-time, automated deep learning workflow integrated with a microfluidic platform and standard inverted microscope that enables non-invasive, high-magnification longitudinal imaging of freely moving *C. elegans*, overcoming traditional challenges of motion blur and target loss without compromising natural physiology.
The study demonstrates that Kubu, a thermostable PETase from *Kutzneria buriramensis*, achieves near-complete enzymatic depolymerization of commercial PLA/PBAT blend mulch films within 24 hours without pretreatment, offering a cost-effective single-enzyme solution for managing agricultural plastic waste.
This study demonstrates that integrating dense, family-specific experimental screening with targeted, sequence-based deep learning creates a data-efficient discovery strategy that significantly outperforms generalist foundation models in identifying high-performing enzyme variants while providing mechanistic insights into structure-function relationships.