Results 191 to 200 of about 1,828,400 (307)

Niche‐Mediated Neural Priming Enables Robust and Scalable Generation of Human Choroid Plexus Organoids

open access: yesAdvanced Science, EarlyView.
Compared to E8, mTeSR1 culture downregulated WNT and TGF‑β signaling, and upregulated neural differentiation pathways, enhancing neural priming. Under skin organoid induction conditions, mTeSR1‑cultured hESCs generated organoids with significantly higher neuroepithelial differentiation.
Zhongliang Chen   +7 more
wiley   +1 more source

Periostin‐CCL3 Feedforward Signaling Loop Promotes Cardiac Fibrosis and Cardiomyocyte Necroptosis in Arrhythmogenic Cardiomyopathy

open access: yesAdvanced Science, EarlyView.
POSTN‐CCL3 signaling forms a feed‐forward circuit between cardiomyocytes and cardiac myofibroblasts in arrhythmogenic cardiomyopathy. POSTN activates JNK/RIP3‐dependent necroptotic signaling and JNK/ETS2‐induced CCL3 expression in cardiomyocytes. In turn, CCL3‐CCR5 signaling in cardiac myofibroblasts activates NF‐κB/p65 and promotes POSTN expression ...
Tiantian Wu   +12 more
wiley   +1 more source

Novel RT‒qPCR-based blood signatures for the diagnosis of pulmonary tuberculosis. [PDF]

open access: yesSci Rep
Horta T   +10 more
europepmc   +1 more source

Beyond Charge: Field‐Effect Transistors in Multimodal Biosensing Platforms for Biomolecular Interaction Studies

open access: yesAdvanced Electronic Materials, EarlyView.
This review summarizes the developments in field‐effect transistor (FET)‐based dual‐mode sensor platforms and what can be learned from them. It identifies charge as a crucial factor in biomolecular interactions at interfaces, outlines the challenges of hybrid systems, and highlights their benefits.
Roger Hasler   +4 more
wiley   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

Genetic architecture and functional consequences of lateral root length in maize. [PDF]

open access: yesJ Exp Bot
Guffanti F   +8 more
europepmc   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

open access: yesAdvanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin   +4 more
wiley   +1 more source

Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring

open access: yesAdvanced Intelligent Discovery, EarlyView.
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira   +13 more
wiley   +1 more source

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