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

Real-time, automated, standardized, and transparent analysis of microfluidic nanoparticle data with RPSPASS

To address the lack of standardized reporting and accuracy assessment in microfluidic resistive pulse sensing (MRPS) for extracellular vesicle analysis, the authors developed RPSPASS, an automated software application that enhances data accuracy, ergonomics, and transparency through features like automated calibration, statistical output, and standardized reporting templates.

Pleet, M. L., Cook, S. M., Killingsworth, B., Traynor, T., Johnson, D.-A., Stack, E. H., Ford, V. J., Pinheiro, C., Arce (…)2026-04-01
📄 bioengineering

Modular biofabrication of a vascularized skeletal muscle model through endothelialized microvascular seeds

This study presents a modular biofabrication strategy that overcomes vascularization challenges in engineered skeletal muscle by independently maturing and subsequently assembling aligned contractile myofibers with pre-endothelialized microvascular seeds to create a functional, hierarchically organized tissue model.

Maiullari, F., Volpi, M., Celikkin, N., Tirelli, M. C., Nalin, F., Viswanath, A., Kasprzycki, P., Karnowski, K., Presutt (…)2026-04-01
📄 bioengineering

eBiota: Designing microbial communities from large seed pools with desired function using rapid optimization and deep learning

The paper introduces eBiota, an integrated platform combining graph-based search, extended flux balance analysis, and deep learning to rapidly design and simulate functional microbial communities from large seed pools for target product generation and pathogen inhibition.

Jiang, X., Hou, J., Zhang, H., Guo, J., Gu, S., Vandeputte, D., Liao, Y., Guo, Q., Yang, X., Zhou, Y., Geng, P. X., Wang (…)2026-03-31
📄 bioengineering

Physics-Informed Self-Supervised Generative Model for 3D Localization Microscopy

This paper proposes a physics-informed, self-supervised generative model that bridges the simulation-to-experiment gap in 3D localization microscopy by training directly on unlabeled experimental data to produce high-fidelity, fully labeled synthetic images, thereby significantly enhancing the performance of supervised localization networks in complex and low signal-to-noise scenarios.

Goldenberg, O., Daniel, T., Xiao, D., Shalev ezra, Y., Shechtman, Y.2026-03-30
📄 bioengineering

TRaP: An Open-source, Reproducible Framework for Raman Spectral Preprocessing across Heterogeneous Systems

TRaP is an open-source, GUI-based Python toolkit that addresses the reproducibility crisis in Raman spectroscopy by providing a unified, declarative framework for transparent, shareable, and deterministic spectral preprocessing across diverse heterogeneous instrument platforms.

Zhu, Y., Lionts, M. M., Haugen, E., Walter, A. B., Voss, T. R., Grow, G. R., Liao, R., McKee, M. E., Locke, A., Hiremath (…)2026-03-27
📄 bioengineering

A mathematical model of osteocyte network control of bone mechanical adaptation

This paper presents a one-dimensional computational model demonstrating how a dynamic osteocyte network regulates bone mechanical adaptation through the propagation of biochemical signals, revealing that the discrete addition and removal of osteocytes leads to novel behaviors such as partial recovery after unloading and a stress threshold for resorption, thereby providing a mechanistic basis for Wolff's laws.

Mehrpooya, A., Challis, V. J., Buenzli, P. R.2026-03-26
📄 bioengineering

Reducing the Foreign Body Reaction to Neuronal Implants in the Central Nervous System with Porous Precision-templated, Mechanically Compliant Hydrogel Scaffolds

This study demonstrates that implanting soft, porous precision-templated hydrogel scaffolds into the rat brain significantly reduces the foreign body reaction and glial scarring while promoting neurogenesis, offering a promising strategy to improve the efficacy of central nervous system implants.

Dryg, I., Zhen, L., Darrow, R., Lawton, S., Crawford, L., Robinson, R., Perlmutter, S., Bryers, J. D., Ratner, B.2026-03-26
📄 bioengineering

High-frequency amplitude-modulated sinusoidal stimulation desynchronizes neural activity and enhances naturalness of evoked sensations

This study demonstrates that a novel fast-oscillating amplitude-modulated sinusoidal (FAMS) stimulation waveform desynchronizes neural activity in peripheral nerves, resulting in more natural and comfortable sensory perceptions compared to conventional rectangular pulses, thereby offering a promising biomimetic strategy for restoring sensory feedback in amputees.

Barra, B., Rose, D. S., Kumar, R., Gopinath, C., Mirzakhalili, E., Lempka, S. F., Gaunt, R. A., Glowacki, E. D., Fisher (…)2026-03-25