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This study evaluates AlphaFold3's ability to predict antibody and nanobody structures and their docking with antigens, finding high accuracy but significant room for improvement.

This paper evaluates novel embolic agents using a vascularized liver tumor-on-a-chip model, finding that DESTH induces tumor cell death and alters cytokine levels and vascular morphology.

This study investigates how spatial confinement affects cyanobacteria growth and functionality in engineered living materials, revealing impaired performance and altered physiology.

This study shows that high-viscosity hydrogels lead to increased nascent extracellular matrix deposition by cells, independent of intracellular contractility.

This paper develops an ultra-stable insulin-glucagon fusion protein that exploits a hepatic glucose switch to reduce hypoglycemic risk in diabetes, showing improved stability and glycemic control in rats.

This study evaluates how hyperparameters and model versions affect deep learning-based tracking of microrobots in phantom tissue, finding that YOLOv9 outperforms YOLOv8 and adjusting loss functions improves performance.

This paper optimizes lipid nanoparticle polymer configurations for endosomal escape using machine learning, achieving high gene editing efficiency in mice.

The paper develops a large yeast surface display library to identify high-affinity peptide ligands for various protein targets, revealing binding motifs and novel clones.

The paper develops an ex vivo chick embryonic bone model using PLGA microparticles to study growth factor delivery effects on cell differentiation and tissue formation, showing that controlled release of BMP2 and FGF2 alters collagen deposition and cell morphology.

This paper develops a super-resolution reconstruction framework to improve the quantification of complete spatiotemporal myocardial strains in mice using cardiac MRI.

OrganoSeg2 improves organoid segmentation and tracking, outperforming alternatives and enabling analysis of growth and radiotherapy responses in breast cancer organoids.

This paper introduces an Embodied Intelligent Microscope System (EIMS) that autonomously controls microscopes using hierarchical reasoning and large models to execute complex biological tasks.

This study shows that VEGF-A and VEGF-C co-stimulation induces lymphatic vessel polarization without shear stress, revealing a mechanism involving VEGFR2/VEGFR3 activation and geometrically-encoded stiffness.

This study shows hydrogen sulfide suppresses keratinocyte migration in a scratch assay, suggesting in vivo wound healing benefits may involve non-keratinocyte mechanisms.

This paper develops an antibody-free lipid nanoparticle system for in vivo mRNA delivery to human HSCs, enabling efficient base editing of HBG to treat blood disorders like beta-thalassemia and sickle cell disease.

This paper shows that using the Leap-In transposon platform improves predictability in developing bispecific antibody-producing cell lines by enabling stable pools with predictable productivity and heterodimer fractions.

This paper designs and validates focal-deep TMS (fdTMS) coils that improve spatial targeting precision and depth of electric field stimulation compared to conventional figure-8 coils.

This study develops a high-throughput morphological assay to evaluate how MSC-EVs modulate brain pericyte secretory phenotype, showing distinct morphological responses under different manufacturing conditions.

This study investigates how temporal parameters of vagus nerve stimulation (VNS) affect neural plasticity, finding that moderate pulse frequencies enhance plasticity while burst patterns do not.

This paper optimizes single-element transcranial focused ultrasound transducers for deep brain neuromodulation in mice using machine learning and simulation.