A physics‐informed neural network enables accurate and mechanistically consistent prediction of quercetin release from nanocomposites. Precise control of drug‐release kinetics remains a major challenge in nanomedicine, particularly for pH‐responsive delivery systems targeting the acidic tumor microenvironment. Here, we develop a physics‐informed neural
Abbas Rahdar +2 more
wiley +1 more source
Fiordilatte ice‐cream could be a valuable carrier for probiotic microorganisms; however, thawing cycles, in terms of number and duration of each events, along with the conditions of probiotic production (namely the age of cells at the time of inoculation), could strongly affect functional properties.
Antonio Bevilacqua +7 more
wiley +1 more source
Surrogate modeling of Cellular-Potts agent-based models as a segmentation task using the U-Net neural network architecture. [PDF]
Comlekoglu T +6 more
europepmc +1 more source
Strain analysis based on dynamic ventilation computed tomography in fibrotic interstitial lung disease and its correlation with pulmonary function tests. [PDF]
Liang T +8 more
europepmc +1 more source
Dynamic gating-enhanced deep learning model with multi-source remote sensing synergy for optimizing wheat yield estimation. [PDF]
Li J +10 more
europepmc +1 more source
Cross-Species Aging Knowledge Integration into Agentic AI Platform Uncovers Conserved Mechanisms
Ahuja G +20 more
europepmc +1 more source
Computational models for predicting bone fracture healing: a review of modeling approaches, predictions, and emerging strategies. [PDF]
Pires DG, Completo A, Santos MPSD.
europepmc +1 more source
The Cross-Species Implantable ATP Battery Inspired by Photosynthesis for Application in Diseases. [PDF]
Chen M, Zhang W, Qu B, Huang X.
europepmc +1 more source
A geospatial hybrid platform to support public policy-making and monitoring for community-based food management and security in the context of global climate change: A study protocol. [PDF]
Scavuzzo CM +4 more
europepmc +1 more source

