Results 171 to 180 of about 18,838 (296)

A Nanoparticle‐Integrated Complete Manufacturing Pipeline of Chemically Engineered Exosomes

open access: yesAdvanced Science, EarlyView.
We report a novel manufacture technology of chemically engineered exosomes. The four steps of manufacturing, i.e., biogenesis, loading, isolation, and storage, are integrated by the use of a nanoparticle. The manufacture technology incorporates three innovative components, i.e., a new nano‐bio effect, a new composite nanoparticle, and a new isolation ...
Xiaowei Wen   +13 more
wiley   +1 more source

Contribution of Drugs to Drowning in Scotland from 1996 to 2020. [PDF]

open access: yesCurr Neuropharmacol, 2023
Corkery JM, Martinotti G, Schifano F.
europepmc   +1 more source

High‐Fidelity Synthetic Data Replicates Clinical Prediction Performance in a Million‐Patient Diabetes Cohort

open access: yesAdvanced Science, EarlyView.
This study generates high‐fidelity synthetic longitudinal records for a million‐patient diabetes cohort, successfully replicating clinical predictive performance. However, deeper analysis reveals algorithmic biases and trajectory inconsistencies that escape standard quality metrics. These findings challenge current validation norms, demonstrating why a
Francisco Ortuño   +5 more
wiley   +1 more source

Structural Eigenmodes of the Brain to Improve the Source Localization of EEG: Application to Epileptiform Activity

open access: yesAdvanced Science, EarlyView.
Geometry and connectivity are complementary structures, which have demonstrated their ability to represent the brain's functional activity. This study evaluates geometric and connectome eigenmodes as biologically informed constraints for EEG source localization.
Pok Him Siu   +6 more
wiley   +1 more source

Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain

open access: yesAdvanced Science, EarlyView.
A new approach uses simple neural networks to create digital twins of brain activity, capturing how different patterns unfold over time. The method generates and recovers key dynamics even from noisy data. When applied to fMRI, it predicts brain signals and reveals distinctive activity patterns across regions and individuals, opening possibilities for ...
Gabriele Di Antonio   +3 more
wiley   +1 more source

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