Correction: Machine learning-based early detection of abnormal heart rate in critically ill patients: a real-world clinical dataset study with automated alert system integration. [PDF]
Ferreira JC, Elvas LB.
europepmc +1 more source
Bistable Networks Enable Complex Shape Changes
Transition‐controlled metamaterials are networks of bistable mechanical memory that store local binary states and express them as global shape change. By decoupling low‐force programming from high‐force holding, a single lattice is reconfigured into distinct 2D profiles and 3D surfaces without continuous actuation, enabling reusable morphing materials ...
Sawyer Thomas, Jeffrey Lipton
wiley +1 more source
The Emerging Role of Artificial Intelligence in Cardiovascular Care: From Imaging to Predictive Analytics. [PDF]
Hatab T, Fares M.
europepmc +1 more source
FES‐derived MGE spheroids exhibit progenitor‐stage alterations in developmental trajectory and hypoxia‐responsive transcriptional programs, followed by functional disruption. Gestational hypoxia recapitulates impaired progenitor proliferation, shortened cell‐cycle progression, interneuron developmental abnormalities, and schizophrenia‐like behaviors in
Peiyan Ni +17 more
wiley +1 more source
AI in daily cardiology and structured multidisciplinary care. [PDF]
van der Harst P.
europepmc +1 more source
Artificial Intelligence‐Guided Phenotypic Drug Repurposing Against Streptococcus pneumoniae
Integrated artificial intelligence (AI) ensembles identify highly potent repurposed drugs against Streptococcus pneumoniae. Prospective virtual screening of 6747 drugs uncovers nine active candidates, including thiostrepton. This drug exhibits low picomolar potency and bypasses established resistance in multidrug‐resistant strains, demonstrating an ...
Joshua S. Fitch +6 more
wiley +1 more source
Utility of the Heart-to-Single Vertebra Ratio Compared with Artificial Intelligence-Derived Vertebral Heart Score for Detecting Cardiomegaly in Dogs with Myxomatous Mitral Valve Degeneration. [PDF]
Güder BE, Kot ZN, Szatmári V.
europepmc +1 more source
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi +7 more
wiley +1 more source
Associations between echocardiographic traits and artificial intelligence-enabled electrocardiography predictions of heart failure. [PDF]
Stenhede E +4 more
europepmc +1 more source

