📄 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

Quantitative Semisolid Magnetization Transfer and Relayed Nuclear Overhauser Effect Imaging in a Multiple Sclerosis Mouse Model Using Deep Magnetic Resonance Fingerprinting

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.

Ben Chaim, R., Rivlin, M., Perlman, O.2026-08-21
📄 bioengineering

From Code to Cure: Computationally Designed BMP-2 Binders Using AI-Integrated Pipelines for Controlled Bone Regeneration

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.

Burress, B. J., Asgari, A., Dorogin, J., Fear, K., Gonzalez, C., Svendsen, J. E., Merrill, D., Hettiaratchi, M. H., Hoss (…)2026-08-21
📄 bioengineering

Conditional Spatial Classification of Expert-Confirmed Interictal Epileptiform Discharge Epochs: An EEG-ECG Ablation and SHAP Analysis

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.

Plabon, A. M., Mukit, A., Neyamul, M., Jehady, O. F., Zuba, F. T., Mina, M. F., Islam, T.2026-08-19
📄 bioengineering

Advancing Cardiac Tissue Engineering: Melt Electrowriting Conductive Polymer-Hydrogel Scaffolds

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.

Amini, M., Valdes Fernandez, J., Latasa Mtnz. de Irujo, X., Larequi Ardanaz, E., Anaut Lusar, I., Prosper, F., Mazo Vega (…)2026-08-17
📄 bioengineering

Controlled Substrate Crossover from Cathode to Anode for Long-Term Autonomous Operation of Microbial Fuel Cells: A Transport-Reaction Modeling Study

This study proposes a conceptual inversion of the traditional view of substrate crossover in microbial fuel cells, introducing a transport-reaction modeling framework that reframes controlled cathode-to-anode substrate flux as a passive mechanism to sustain biofilm metabolism and enable long-term autonomous operation.

Gamboa Velasquez, M., Meneses Sandoval, R. G., Balderrama Perez, J. M., Medina Villafuerte, M. E., Solis Valdivia, J. L.2026-08-17
📄 bioengineering

LIT (Layer-Wise Image Trajectories): In Situ Monitoring for Early Quality Prediction and Anomaly Detection in Acellular and Cell-Laden Two-Photon Polymerization

This paper introduces Layer-wise Image Trajectories (LIT), an in situ monitoring method that analyzes coaxial image comparisons during two-photon polymerization to predict fabrication quality and detect anomalies early in the build process for both acellular and cell-laden hydrogels, overcoming the limitations of traditional post-processing evaluation.

Prioglio, E., Scrocciolani, C., Colosimo, B. M.2026-08-17
📄 bioengineering

Open-source benchmarking of dairy and dairy-free products

This paper presents the first open-source sensory benchmark from the NECTAR 2026 study, which evaluates 112 commercial dairy-free products against dairy counterparts across ten categories to demonstrate that sensory parity is achievable in beverages while identifying specific flavor and texture deficits in solid dairy alternatives that offer key opportunities for future innovation.

Koosis, A. O., Cotto, C., Kuhl, E.2026-08-17
📄 bioengineering

Re-examining the lower speed boundary of preferred coordination ratio constancy: estimator dependence and competing breakpoint regions

This study re-examines the lower speed boundary of preferred coordination ratio constancy using published data and demonstrates that the previously reported 62 m/min threshold is not a single dominant breakpoint but rather one of several competing regions, with alternative statistical models suggesting the true boundary may lie significantly lower.

Kurayama, T.2026-08-16
📄 bioengineering

Controlled In Vitro Characterization of the Dynamic Response of Continuous Glucose Monitoring Systems: Adaptation of a Programmable Flow Platform and Decomposition of Dynamic Error

This study adapts a programmable flow-based in vitro platform to decouple the accuracy of generated glucose profiles from the dynamic response of continuous glucose monitoring (CGM) systems, proposing a novel set of metrics that decompose dynamic error into amplitude, rate, shape, and hysteresis components to reveal performance limitations obscured by traditional summary statistics like MARD.

Khoroshun, E. V., Kozlov, V. A., Ivanov, I. V., Momynaliev, K.2026-08-13