Results 201 to 210 of about 88,625 (333)

AI‐Driven Microphysiological Systems for Advancing Nanoparticle Therapeutics

Advanced Intelligent Systems, EarlyView.
This review outlines recent advances in integrating artificial intelligence with microphysiological systems for nanoparticle evaluation. It highlights data‐driven optimization, image‐based prediction, and AI‐enabled analysis frameworks that advance translational research and support the development of personalized nanomedicine. Nanoparticles (NPs) play
Yedam Lee, Jaehong Min, Sujin Kim, Jihoon Ko   +3 more
wiley   +1 more source

The Incidence and Methods for Detecting Aspirin Resistance in Pediatric Patients. [PDF]

Pediatric Health Med Ther
Poparn H, Kittikalayawong Y, Techavichit P, Lauhasurayotin S, Chiengthong K, Chaweephisal P, Sosothikul D.   +6 more
europepmc   +1 more source

CoRoFR: Community Detection of Feature Graph Improves Feature Selection Using Robust Fuzzy Rough Set

Advanced Intelligent Systems, EarlyView.
In machine learning, features often function as communities in many tasks, especially in medicine. However, existing feature selection methods struggle to mine feature collaborations, which can boost predictive performance. Moreover, they are noise‐sensitive, leading to suboptimal feature selection and accuracy degradation.
Duanyang Feng, Wenjian Liu, Sheng Peng, Yuankun Liu, Wanlei Zhou   +4 more
wiley   +1 more source

Clinical Predictors of Aspirin Resistance in Patients with Type 2 Diabetes: A Systematic Review and Meta-Analysis. [PDF]

Rev Cardiovasc Med
Zhang F, Zheng H.
europepmc   +1 more source

Computational Models of Multisensory Integration with Recurrent Neural Networks: A Critical Review and Future Directions

Advanced Intelligent Systems, EarlyView.
This review outlines how recurrent neural networks model multisensory integration by capturing temporal and probabilistic features of sensory input. Key developments, challenges, and future directions are summarized, providing insights into biologically inspired AI. Multisensory integration (MSI) is a core brain function underlying perception, learning,
Ehsan Bolhasani, Seyed Hamed Aboutalebi, Yaser Merrikhi   +2 more
wiley   +1 more source

The associations of candidate gene polymorphisms with aspirin resistance in patients with ischemic disease: a meta-analysis. [PDF]

Hum Genomics
Li CX, Sun LC, Wang YQ, Liu TT, Cai JR, Liu H, Ren Z, Yi Z.   +7 more
europepmc   +1 more source

Resveratrol Inhibits Aggregation of Platelets from High-risk Cardiac Patients with Aspirin Resistance

, 2006
Gyorgyi Stef, Anna Csiszár, Kenneth M. Lerea, Zoltán Ungvári, Gábor Veress   +4 more
openalex   +1 more source

MO‐hHHO: Multi‐Objective Hybrid Harris Hawks Optimization for Prediction of Coronary Artery Disease

Advanced Intelligent Systems, EarlyView.
This article proposes a novel Multi‐Objective hybrid Harris Hawks Optimization (MO‐hHHO) algorithm for simultaneous feature selection and hyperparameter tuning in heart disease classification. The approach leverages adaptive exploration‐exploitation strategies to enhance convergence efficiency.
Anu Ragavi Vijayaraj, Subbulakshmi Pasupathi   +1 more
wiley   +1 more source

Model based on single-nucleotide polymorphism to discriminate aspirin resistance patients. [PDF]

Stroke Vasc Neurol
Liu Q, Guo S, Wang N, Wang K, Mo S, Li X, Zhang Y, He H, Wang S, Wu J.   +9 more
europepmc   +1 more source

More on: aspirin resistance [PDF]

Journal of Thrombosis and Haemostasis, 2004
Anetta Undas, Andrzej Szczeklik
openaire   +2 more sources