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This paper introduces CAST, a label-free whole-brain imaging technique that maps amyloid plaques in mouse brains using clearing-assisted scattering tomography.

RNArefine improves RNA structure prediction by refining atomic details and stereochemistry using AI and physics-based methods.

This paper shows that mesophase spacing in liquid crystalline nanocarriers predicts hydrophilic payload release kinetics, linking material composition to functional performance.

This paper benchmarks LLM agents in protein design tasks, finding they outperform hardcoded pipelines but underperform expert practice due to limited evaluation depth.

This paper applies magnetic levitation to breast cancer biopsies to generate biophysical signatures linked to tumor aggressiveness and clinical subtypes.

This study develops a multiscale computational model to simulate myometrial excitation during late pregnancy, showing that ion channel regulation determines preterm uterine excitability.

This paper improves the oral dissolution of vodobatinib by converting it into an amorphous drug-polymer salt using slurry conversion, achieving a 35-fold increase in dissolution rate.

The paper introduces two image-analysis pipelines to objectively quantify BBB integrity in vitro and in vivo, showing reduced ZO-1 fragment area and fragmentation ratio in glycocalyx knockdown models and altered markers in aged and Alzheimer's mice.

The paper investigates RNA post hoc loading into empty lipid nanoparticles using turbulent mixing and finds it occurs within 12 ms under optimal conditions.

This paper benchmarks predictive modeling and control techniques with optogenetics to steer nucleocytoplasmic transport in mammalian cells, showing robust performance against cell-to-cell variation.

This study evaluates PLLA-PGA-CC scaffolds for critical-sized mandibular defect repair in sheep, finding enhanced bone regeneration compared to controls but limited osteoconductivity.

ELiPS generates and screens short, strong promoters for gene therapy, outperforming existing promoters in vitro and enabling therapeutic expression in vivo.

The paper uses active learning to design peptides that modulate the physical properties of a biomolecular condensate by interacting with MUT-16.

This paper develops AENCS to engineer antibodies targeting glycosylated epitopes, demonstrating ACC01's 24-fold improved neutralization against SARS-CoV-2 variants.

This paper introduces CVIG, a framework to reconstruct cerebrovascular graphs from in vivo images, enabling high-fidelity brain biophysical simulations for digital twin applications.

This study engineers Acinetobacter baylyi to produce cyanophycin from wastewater nutrients, achieving high yields without arginine supplementation and expanding temperature tolerance.

This paper introduces BIRD-Seq, a dsRNA detection and sequencing pipeline using engineered B2 protein and nanopore sequencing, achieving sub-ng mL-1 sensitivity and enabling virus identification without RNA extraction.

The paper introduces a spatial pharmacology platform to study how chemotherapy affects immune and metabolic states in tumors, identifying key metabolic axes and resistant macrophage populations.

This paper uses large language models to improve P300 speller output by reducing errors from fewer stimulus repetitions, enhancing communication efficiency.

This paper develops a nanoparticle platform to target TLR3 agonist to antigen-presenting cells, improving cancer immunotherapy safety and efficacy by reducing systemic toxicity and enhancing tumor targeting.