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This study uses computational models to analyze how erythrocyte deformability affects merozoite invasion and identifies mechanical markers for drug screening.

This paper evaluates multi-outlet nozzle designs for bioprinting using computational fluid dynamics to determine optimal geometries for different printing tasks.

This paper introduces a method to link AAV capsids for coordinated delivery of genetic cargo, improving efficiency and uniformity in gene delivery.

The paper introduces a microfluidic platform that traps and analyzes single cells and droplets using dielectrophoresis and Raman spectroscopy, enabling high-throughput, non-destructive cellular analysis.

This paper introduces a generative AI framework for designing and fabricating disease-specific lung microtissues using 3D imaging and bioprinting.

This study shows MRI can predict blood clot composition and contraction state using radiomic features, supporting its use for pre-interventional clot phenotyping.

This paper introduces vitamin C as a redox regulator to enable high-fidelity volumetric printing of pristine collagen by establishing a tunable nonlinear polymerization threshold.

The paper develops 3D mammary duct models of healthy and tumoral tissues using a microfluidic co-extrusion platform to better mimic breast tissue architecture and function.

The paper introduces an integrative framework for generating bio-informed microvascular models that unify in silico and in vitro applications, demonstrating faster and more accurate simulations of vascular networks.

The paper introduces MobileLAMP, an open-source, low-cost device for isothermal nucleic acid amplification, demonstrating its effectiveness with colorimetric LAMP for RNA and DNA targets.

This paper introduces a method to analyze directional brain network organization using fMRI data, identifying strength and duration signatures of neural influence across species and conditions.

This paper introduces a deep learning framework to estimate photon measurement density functions from MR images in fNIRS, reducing computational cost compared to traditional methods.

This paper introduces a fluorescence-lifetime-based multiplexed detection strategy using fluorogenic aptamers to distinguish viral RNA targets with minimal cross-reactivity and spectral overlap.

This paper quantifies cerebellar signal detectability in MEG and EEG for epilepsy using anatomically informed source modeling, finding that depth and geometry, not proximity, primarily affect signal-to-noise ratio.

This paper introduces a hybrid physics-deep learning framework for designing small-molecule binding proteins, achieving experimental success in binding affinity and structural accuracy.

The paper introduces an open platform for multiplexed bioluminescence and fluorescence microscopy, including tools for experiment design, microscope upgrades, and data analysis.

This paper introduces a novel diffusion tensor distribution (DTD) MRI method to measure mesoscopic brain tissue structure in vivo, revealing new microstructural features not previously observed.

The paper introduces PiER, a DNA-based system for functional gene screening that records perturbation-response events without single-cell isolation, and demonstrates its use in identifying WNT-related shRNA candidates.

This paper demonstrates that nanoclusters of integrin-, syndecan-, and dystroglycan-binding peptides on biomaterial surfaces enhance myoblast adhesion, proliferation, and differentiation in dystrophin-deficient cells.

This study compares tissue reactivity to stiff silicon and flexible polyimide implants in mice, finding that flexible polyimide reduces lesions and immune response.