Results 101 to 110 of about 159,034 (226)
Interpretable machine learning-based real-time sepsis diagnosis. [PDF]
Mahmud F +4 more
europepmc +1 more source
This study demonstrates that ALY688, a drug mimicking the heart‐protective hormone adiponectin, reduces myocardial ischemia injury. ALY688 increases the production of extracellular vesicles, which carry protective cargo including adiponectin itself.
Jialing Tang +13 more
wiley +1 more source
Retraction: Interpretable machine learning framework for predicting Urban air quality. [PDF]
PLOS One Editors.
europepmc +1 more source
Microengineered Gradient Hydrogels for Mechanobiology
Gradient hydrogels are used to mimic the mechanical heterogeneity in native tissues, offering powerful in vitro platforms to study cell‐material interactions in diverse pathophysiological contexts. Here, we present a comprehensive review of the design and experimental considerations for stiffness gradient hydrogels, discussing exemplary achievements ...
Shin Wei Chong +4 more
wiley +1 more source
A spatially interpretable machine learning framework for urban waterlogging risk mapping in Beijing. [PDF]
Tang Y.
europepmc +1 more source
Recent studies reported immunosuppressive properties of specific MXene nanomaterials. Their intravenous injection into the bloodstream of laboratory animals has been a common delivery method to suppress systemic inflammation and prevent transplant rejection.
Alireza Rafieerad +2 more
wiley +1 more source
Personalized sepsis mortality prediction: An interpretable machine learning nomogram. [PDF]
Weng L +6 more
europepmc +1 more source
Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long +26 more
wiley +1 more source
Interpretable machine learning in NeuroMiner
A. Wiegand, C. Vetter, N. Koutsouleris
openaire +1 more source
Predicting macrosomia and low birth weight with interpretable machine learning. [PDF]
Cui M +7 more
europepmc +1 more source

