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This paper develops a kinetic model for CRISPR-Cas-based autocatalytic assays to improve understanding and design of target-amplification-free systems.

This paper develops a Raman spectroscopy method to rapidly and accurately quantify residual immunomagnetic beads in cell therapy manufacturing.

The paper presents an open-source liquid-handling robot designed for custom, high-throughput biological experiments, validated with a turbidostat workflow.

This paper introduces a computational framework for designing vascular networks in biohybrid tissues, enabling 3D-printing of complex, hierarchical vasculature with biological and synthetic constraints.

This paper develops FeSA+NC nanozymes with enhanced catalase-like activity and selectivity for anti-inflammatory therapy through spin-state modulation by atom-cluster synergy.

This paper introduces a system for functionalizing extracellular vesicles with nanobody adapters, enabling flexible and efficient attachment of target proteins without genetic engineering of cells.

Across nearly one million progeny from 10 species, species best predicts homing drive inheritance, while promoter, parent sex and maternal deposition each explain little of the inheritance variation.

The paper demonstrates successful gene editing in sand flies using CRISPR-Cas9 and PiggyBac to target olfactory and non-lethal phenotypic genes.

This paper develops a multi-frequency laparoscopic SFDI framework to improve optical property estimation in layered tissue for chemophototherapy treatment planning.

This paper introduces pCAST, a method to create perfusable vascular networks in 3D tissues, and shows it improves oxygen distribution and tissue viability.

The paper quantitatively evaluates laryngeal mobility in a rat model using deep learning to assess asymmetry after RLN injury.

This paper introduces VascFlexMap, a deep learning framework that reconstructs microvascular maps from low-frame-rate ultrasound data using a transformer-decoder network, achieving faster reconstruction with reduced data requirements.

This paper develops strategies to redirect lipid nanoparticle targeting away from the liver and toward specific tissues using engineered proteins and antibody conjugation.

This study develops PAM-lipids as PEG alternatives for mRNA-LNPs, showing improved transfection in immune cells and evasion of anti-PEG antibodies during repeated dosing.

This study shows that removing IgA and IgM via chromatography improves nanofiltration efficiency for virus-safe IgG production from plasma.

This study designs an optimized Cas9 CRISPRi library by improving on-target scoring and analyzing off-target effects using updated datasets and methods.

This paper develops a cross-species deep learning model for sleep staging in humans and rodents, achieving high accuracy without retraining.

This paper develops an injectable hydrogel platform with poly(orthoester) microparticles for long-term, zero-order drug release, demonstrating in vitro and in vivo efficacy for up to 12 months.

This paper introduces a microfluidic platform to reactivate aged stem cells through mechanical stimulation, showing reduced oxidative stress and restored stemness markers.