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Measuring Transcranial Magnetic Stimulation-Induced Electric Fields in Anatomically and Conductively Accurate Rat Head Phantoms

The paper presents a rat head phantom for validating TMS-induced electric fields using 3D printing and compares measurements to finite element simulations.

An AI-Native Biofoundry for Autonomous Enzyme Engineering: Integrating Active Learning with Automated Experimentation

This paper introduces an AI-native biofoundry that uses natural language and active learning to autonomously engineer enzymes, achieving high hit rates and improved sequencing performance.

Vascular smooth muscle cell loss, but not neuroinflammation, drives cerebrovascular reactivity impairment in Alzheimer disease

This study shows that vascular smooth muscle cell loss, not amyloidosis or neuroinflammation, causes cerebrovascular reactivity impairment in Alzheimer's disease.

Heparin-modified aligned collagen scaffolds enhance in vitro myogenesis

This study shows heparin-modified collagen-GAG scaffolds enhance myoblast metabolic activity and myogenic differentiation compared to other GAG scaffolds.

M1 Macrophage-Derived Small Extracellular Vesicles as Synergistic Nanotherapeutics: Harnessing Intrinsic Anticancer Activity and Drug Delivery Capacity

This study demonstrates that M1 macrophage-derived small extracellular vesicles (sEVs) act as dual-action nanotherapeutics by combining innate immune-regulatory functions with drug delivery, achieving synergistic anticancer effects.

Mapping the Causal Roles of Non-Primary Motor Areas in Human Reach Planning and Execution

This study uses TMS and fMRI to investigate how non-primary motor areas affect reaching performance, finding that PMd and PPC perturbations alter movement smoothness and accuracy.

Long-acting hydrogel-based depot formulations of tirzepatide and semaglutide for the management of type 2 diabetes and weight

This paper develops long-acting hydrogel-based depot formulations of semaglutide and tirzepatide that maintain drug levels for over 6 weeks in a rat model, showing similar efficacy to daily injections.

Predicting DNA origami stability in physiological media by machine learning

This paper uses machine learning to predict DNA origami stability in physiological conditions based on physicochemical parameters and DLS measurements.

Engineering physically optimized T cells for increased sampling of complex tumor microenvironments

This study physically optimizes T cells to enhance their ability to sample and engage with pancreatic ductal adenocarcinoma tumor cells, improving therapeutic outcomes.

The impact of fungal developmental structures on mechanical properties of mycelial materials.

This study shows that suppressing asexual development in Aspergillus nidulans improves the mechanical strength of mycelial materials, with some mutants also showing increased elasticity due to autolysis.

Neuromodulation of a peripheral nerve using fully polymeric cuff electrodes: Understanding predictability of selective stimulation

This paper validates polymeric cuff electrodes for selective peripheral nerve fascicle stimulation and highlights the need for improved modeling to enhance simulation accuracy.

A High-Throughput Biocatalytic Platform for Screening Isomeric Kainoid Natural Products

The paper develops a MALDI-TIMS-MS platform for high-throughput screening of isomeric product ratios from enzyme libraries, identifying variants with improved KAL conversion.

Eulerian-Lagrangian and thin film modeling of drug delivery under physiologically varying breathing in a realistic lung model

This paper models drug delivery in the lungs under varying breathing conditions, showing COPD patients have different drug deposition patterns compared to healthy individuals.

Phase-separating enzyme-responsive condensates for inhalable delivery of biomacromolecules

This paper develops enzyme-responsive condensates for inhaled delivery of biomacromolecules, enabling controlled release and targeted cell regulation.

Model-Driven Elucidation of Lactose and Galactose Metabolism via Oxidoreductive Pathway in Sungouiella intermedia for Cell Factory Applications

This paper investigates lactose and galactose metabolism in Sungouiella intermedia using a genome-scale metabolic model and experimental data to identify its potential as a cell factory for producing galactitol and tagatose from industrial side-streams.

Metrics for studying the porous void space of packed particles

The paper introduces a library of metrics for analyzing porosity in packed particle assemblies using LOVAMAP software, revealing relationships between particle properties and void space features.

Library transgenesis in zebrafish through delayed site-specific mosaic integration for in vivo pooled screening of transgenes

This paper introduces a zebrafish transgenesis method for in vivo pooled screening of transgenes, enabling single-transgene precision in a physiological context.

Rapid colorimetric detection of citrus tristeza virus combining portable sample preparation and reverse transcription-loop mediated isothermal amplification

This paper develops a rapid colorimetric detection method for citrus tristeza virus using portable sample prep and RT-LAMP, achieving high efficiency and reliability in greenhouse settings.

An antifungal with a novel mechanism of action discovered via resistance gene-guided genome mining

This study identifies a novel antifungal compound targeting ALS, validated through genome mining, biochemical assays, and a mouse model of invasive aspergillosis.

Artificial capillaries-on-a-chip with modular control over lumen size, architecture, in situ modifications and co-culture conditions.

This paper introduces a microfluidic chip technology for creating artificial capillaries with controlled lumen size, architecture, and co-culture conditions, enabling reproducible microvascular biology studies.