279 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 utilizes the AI-driven tool BindCraft to computationally design and evaluate novel de novo protein minibinders targeting seven specific hotspots on STAT3, identifying eleven high-confidence candidates with potential for experimental validation as therapeutic leads or sandwich assay components.
This paper introduces a scalable, high-resolution tactile sensing platform that enables precise, paw-resolved measurement of ground-contact forces and weight redistribution in freely moving animals, offering significant advantages over conventional methods for studying movement, sensorimotor control, and neurological recovery.
This paper introduces IGLOO, a framework that evaluates and improves the faithfulness of residue-level attributions in protein language model fitness predictors by benchmarking them against synthetic landscapes with known ground truth, revealing that high predictive accuracy does not guarantee accurate interpretations and demonstrating how model interventions can significantly enhance attribution reliability.
This paper demonstrates that general-purpose large language models, when integrated with a liquid-handling robot and camera via the PEARL system, can autonomously design, execute, and iteratively refine scientific experiments to achieve objectives without predefined workflows, marking a shift toward AI systems that actively participate in the experimental process.
This study validates the smartphone-based OpenCap system as a promising tool for assessing ACL injury risk factors in laboratory settings, though its accuracy decreases when measuring these kinematics outside the lab due to performance variability.
This paper presents an ab-initio physics study and COMSOL simulation demonstrating that a conductive ring-shaped implant can achieve ultra-high-efficacy, highly localized wireless neuromodulation by generating strong electric fields in a small gap via a low-intensity AC magnetic field, offering a significantly more efficient alternative to conventional transcranial magnetic stimulation.
This paper introduces RhoBAST-FLIM, a versatile imaging platform that leverages fluorescence lifetime differences between free and bound dyes to achieve high-fidelity, background-suppressed, and super-resolution visualization of RNA and cell-surface proteins in living cells.
This paper introduces HSMV, a comprehensive dataset of human sperm microscopy videos from 51 participants containing both manually annotated trajectories for ground truth and unannotated clips under varying conditions, designed to benchmark and advance algorithms for sperm detection, tracking, and motility analysis.
Using the Four Core Genotypes mouse model and mechanically tunable hydrogels, this study decouples the distinct contributions of sex chromosomes and gonadal sex to cardiac myofibroblast activation, revealing specific chromosomal and gonadal influences on stress fiber formation, gene expression, and protein secretion that drive myocardial fibrosis.
This paper introduces a noise-aware constitutive-response atlas that identifies compatible hyperelastic material families within a specified error tolerance, resolves ambiguities left by conventional tests, and determines when additional measurements are required without forcing a single model selection.