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The paper quantifies variability in temporal interference simulations caused by non-deterministic mesh generation and shows that multi-run averaging reduces this noise.

This paper introduces a closed-loop optical platform for precise retinal stimulation in mice, achieving high-resolution patterned stimulation with real-time focus correction.

This study shows HYAL1 suppression in glioma cells increases invasion by altering ROS levels and adhesion molecule expression in 3D hyaluronic acid matrices.

This paper develops nanodiscs for targeted delivery of an anti-inflammatory drug to macrophages in AAA, showing reduced disease progression in mice.

This study develops submicron phosphatidylserine-exposing polymeric particles (PSPs) that modulate macrophage activity by reducing inflammation and promoting resolution through redox adaptation and suppression of inflammatory signaling.

This paper develops a colorimetric hydrogel dressing that uses a smartphone camera to monitor wound pH in real-time, enabling point-of-care diagnostics for chronic wounds.

This paper develops a closed-loop vibrotactile stimulation system to reduce tremor amplitude and propranolol use by modeling a nonmonotonic tremor-vibration relationship.

The study tests if a crossmodal congruency task can measure the intuitiveness of sensory feedback in lower limb prostheses, finding it effective at the knee but not the foot.

This study shows that sustained volumetric compression of breast cancer cells induces a jammed state, which primes them for enhanced migration and invasion after recovery.

This paper develops a multiscale computational model of pulmonary vascular remodeling in PH, showing it can predict pressure, wall thickness, and stiffness changes in response to treatment.

This paper introduces a topology-based framework to describe near-wall hemodynamics in cerebral aneurysms, identifying tornadic-like fluid structures linked to aneurysm pathology and validated using 4D flow MRI.

This paper introduces blood-mediated optoacoustic stimulation (BOAS) for precise brain cortex stimulation, showing it can trigger neuronal activity comparable to natural visual stimulation and is more efficient than photothermal methods.

FLIP2 adds seven protein fitness datasets and 16 splits for enzymes, light-sensitive proteins, and interactions; simple ridge and zero-shot baselines often rival fine-tuned protein language models.

This paper describes a method to create PEDOT:PDA coatings on gold electrodes using cyclic voltammetry, resulting in enhanced electrochemical performance for bioelectronic applications.

This paper develops a biosensor using host-pathogen interaction peptides to rapidly detect Listeria monocytogenes with high selectivity and sensitivity.

This study compares DWP-based sSMLM configurations to balance localization and spectral precision with experimental complexity.

The paper uses growth factor-loaded vesicles to direct keratocyte differentiation in 3D corneal constructs without repeated soluble growth factor supplementation.

This paper develops a CRISPR/Cas12a-based system for sensitive and multiplexed detection of EV-derived microRNAs using DNAzyme and machine learning for cancer classification.

This paper introduces DNA-based force-history probes to map 3D cellular mechanical activity over time, enabling visualization of stress patterns in breast cancer spheroids.

This study investigates gene-length DNA monolayers on gold electrodes for cell-free protein expression, showing tunable surface density and partial functional retention under certain conditions.