AI‐Enabled Precision Dosing in Pediatrics: Enhancing Model‐Informed Decision Making
Clinical Pharmacology &Therapeutics, EarlyView.Ensuring safe and effective pharmacotherapy for children remains a central challenge in clinical pharmacology, yet rapid advances in AI have not translated into clinical practice. This Perspective highlights how AI‐enabled approaches can enhance model‐informed decision making for precision dosing.
Kei Irie, Tomoyuki Mizuno
wiley +1 more source
A Systematic Review on Synthetic Medical Images Generation-Recent Trends and Future Opportunities. [PDF]
Diagnostics (Basel)Waheed Y, Noor MN, Ashraf I.
europepmc +1 more source
Deep Underground Science and Engineering, EarlyView.This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu +8 more
wiley +1 more source
A multi-view autoencoder architecture with self-adaptive feature recalibration and confidence-aware ensemble for heart disease classification. [PDF]
Sci RepAltufaili AAS, Shleej DM.
europepmc +1 more source
Deep Underground Science and Engineering, EarlyView.This review synthesizes advances in predicting miners' vital signs by integrating environmental monitoring (dust, temperature, and gas) with physiological data. It highlights multi‐source data fusion techniques and early‐warning models for enhanced occupational safety in underground coal mines.
Junji Zhu +4 more
wiley +1 more source
Autoencoders for Anomaly Detection are Unreliable
Autoencoders are frequently used for anomaly detection, both in the unsupervised and semi-supervised settings. They rely on the assumption that when trained using the reconstruction loss, they will be able to reconstruct normal data more accurately than ...
Bouman, Roel, Heskes, Tom
core +2 more sources
Unsupervised adaptive sampling graph autoencoder for 3D surface encoding and mesh representation transfer. [PDF]
Med Image AnalCruz-Guerrero IA, Nagel J, Porras AR.
europepmc +1 more source
Generative Models in Inorganic Crystals Discovery and Inverse Design
ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.Generative inverse‐design samples from the vast inorganic crystal design space by starting from target properties such as band gap, stability, and ion transport. This Review examines the representations, generative models, and validation workflows needed to translate candidate structures into stable, potentially synthesizable materials for applications
Tao Li +5 more
wiley +1 more source
Learning latent representations of timbre using autoencoders and variational autoencoders
Trabajo de Fin de Grado en Ingeniería Informática, Facultad Informática UCM, Dpto. de Sistemas Informáticos y Computación. Curso 2024/2025.En este trabajo de fin de grado se aplica el aprendizaje profundo a la reconstrucción y generación de audio ...
García López, Pablo
core +1 more source
Sensor-Based Fault Diagnosis and Prognosis of Neurophysiological States: A Transformer Autoencoder Approach to EEG Monitoring. [PDF]
Sensors (Basel)Moreno Escobar JJ +3 more
europepmc +1 more source