📄 Category

bioengineering

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.

📄 bioengineering

Bridging scale-up to transplantation: pluripotent stem cell-derived pancreatic islet encapsulation in emulsion-generated high concentration alginate beads

This study establishes a scalable biomanufacturing pipeline that utilizes emulsion-generated high-concentration alginate beads to encapsulate pluripotent stem cell-derived islets, effectively preventing agglomeration and mechanical stress during extended bioreactor culture while maintaining their differentiation potential and in vivo functionality for type 1 diabetes transplantation.

Castro Rojas, A., Brassard, J., Billaud, M., Lemaire, F., Chen, R., Orimi, H. E., Tian, J. J., Paraskevas, S., Hoesli, C (…)2026-09-18
📄 bioengineering

BoneGraph: A Domain-Specialised, Self-Correcting Reasoning System for Bone Science Retrieval, Grounded Inference, and Image Mechanics

BoneGraph is a locally deployed, domain-specialized system for bone science that unifies curated retrieval, self-correcting reasoning with physics and knowledge-graph constraints, and multimodal vision-mechanics capabilities to overcome the limitations of general-purpose large language models in synthesizing reliable, evidence-based scientific knowledge.

Valijonov, J., Soar, P., Le Houx, J., Tozzi, G.2026-09-18
📄 bioengineering

An in vivo chemical genetic approach for targeted glycoproteome analysis in Drosophila melanogaster

This paper introduces FlyMOE, a chemical-genetic platform that enables targeted, in vivo profiling of the Drosophila melanogaster glycoproteome by engineering transgenic flies to incorporate bioorthogonally-tagged monosaccharides for mass spectrometry analysis.

Schmidt, S. D., Alexandre, C., Di Vagno, L., Zhang, L., Flynn, H., Kurth, J., Murray, S., Ruiz Herrera, S., Shaw, H., Bi (…)2026-09-17
📄 bioengineering

Cell-specific heteroclinic orbits govern interaction dynamics in inertial microfluidics for circulating tumour cell separation

This study demonstrates that incorporating cell-specific heteroclinic orbits and mechanical heterogeneity, rather than relying solely on size-based separation, is crucial for optimizing inertial microfluidic devices to minimize white blood cell carryover during circulating tumour cell isolation.

Hay, R., Ghera, C., Zhou, J., Papautsky, I., Krueger, T., Owen, B.2026-09-17
📄 bioengineering

Spatially distributed growth factor environments for evaluating hydrogel-based CD34+ cell culture conditions

This study introduces a microfluidic culture system that generates spatial gradients of growth factors within fibrin hydrogels to enable real-time, high-throughput screening of optimal conditions for expanding CD34+ hematopoietic stem cells, offering a more efficient alternative to traditional suspension culture methods.

Murphy, A. R., Franco, R. A., Johnson, P., Cooper-White, J. J., Allenby, M. C.2026-09-17
📄 bioengineering

Ultrasound Tracking Reveals Progressive Regional Strain Differences in Human Achilles Tendons During Fatigue Loading

This study validates an automated ultrasound tracking algorithm for quantifying regional strain in human Achilles tendons and reveals that maximum and average longitudinal strains follow distinct progressive trajectories between survived and ruptured tendons during fatigue loading, suggesting early biomechanical differences precede overt structural failure.

Nuethong, S., Baxter, J. R.2026-09-15
📄 bioengineering

Dual-Mode Bio-CM2: Multimodal Computational Miniature Mesoscope for Fluorescence and Label-Free Imaging

The paper presents Dual-Mode Bio-CM2, a scalable computational miniature mesoscope that utilizes a shared optical architecture to simultaneously capture co-registered fluorescence and label-free reflectance images, enabling comprehensive multimodal analysis of biological function across diverse freely moving and head-fixed specimens.

Deng, Q., Hu, G., Rauscher, B. C., Villafuerte, M., Weinberg, B., Chen, Z., Feng, H., Devor, A., Thunemann, M., Tian, L.2026-09-14
📄 bioengineering

Phenotypic screens identify biologic regulators of nanoparticle uptake in diffuse midline glioma

Using a pooled CRISPR-Cas9 screen in patient-derived diffuse midline glioma models, researchers identified CTNNB1 as a key negative regulator of nanoparticle uptake and revealed that its depletion alters cell stiffness and endocytic mechanisms, thereby establishing a biology-first approach to optimize nanoparticle delivery strategies for pediatric brain tumors.

Cheng, E. L., Pal, S., Tsai, J. W., Yampanis, C. B., Rangaswamy, S., Kenny-Serrano, J., Coppola, M., Ozdemir, M., Cai, K (…)2026-09-11
📄 bioengineering

Joint loading in the presence of torsional deformities is overestimated unless gait adaptations are considered: a predictive simulation approach

This study demonstrates that predictive simulations incorporating gait adaptations are essential for accurately estimating hip and knee joint loading in the presence of femoral and tibial torsional deformities, as failing to account for these natural kinematic adjustments leads to significant overestimation of joint forces.

Haralabidis, N., Passmore, E., Carty, C., De Pieri, E., Rutz, E., Modenese, L.2026-09-10
📄 bioengineering

Medicament identity rather than total loading governs the morphology of electrospun poly(vinylpyrrolidone) nanofibers for regenerative endodontics: a machine learning analysis of a failure-inclusive dataset

This study demonstrates that for electrospun poly(vinylpyrrolidone) nanofibers used in regenerative endodontics, the specific identity of the loaded medicament is a superior predictor of fiber morphology than total drug loading, as revealed by a machine learning analysis of a failure-inclusive dataset.

Brimo, N., UYSAL, B., SERDAROGLU, D. C.2026-09-09