Results 181 to 190 of about 356,775 (283)

The correlation between serum endothelin-1 levels and aortic stiffness in patients with non-dialysis chronic kidney disease. [PDF]

Ren Fail
Lin SC, Su IM, Lee CJ, Lai YH, Hsu BG.
europepmc   +1 more source

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

Advanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source

Goodness of Fit in the Marginal Modeling of Round-Trip Times for Networked Robot Sensor Transmissions. [PDF]

Sensors (Basel)
Fernández-Madrigal JA, Arévalo-Espejo V, Cruz-Martín A, Galindo-Andrades C, Bañuls-Arias A, Gandarias-Palacios JM.   +5 more
europepmc   +1 more source

Automation of Surgical Workflow Recognition: Unveiling the Surgical Instrument Kinematics that Underly Robot‐Assisted Prostatectomy Procedures

Advanced Intelligent Discovery, EarlyView.
Automated procedural analysis is recognized as one of the major game changers for robotic surgery. Meaning digital analysis needs to replace the manual assessments that set todays standard. Mechanical robotic‐instrument tracking enables the derivation of quantitative kinematic metrics that support behavior‐based workflow segmentation into distinct ...
Kateryna Pirkovets, Matthias N. van Oosterom, Vera A. Ottens, Henk G. van der Poel, Fijs W. B. van Leeuwen   +4 more
wiley   +1 more source

Peripheral blood immune cell subsets as non-invasive biomarkers of colorectal cancer stage, laterality, metastasis and survival. [PDF]

Cell Oncol (Dordr)
Del Prado-Montero J, Cantero-Cid R, Guevara-Martínez J, Lozano-Rodríguez R, Cueto FJ, Sáenz de Santa María-Diez G, Terrón-Arcos V, Abad-Moret R, Díaz-Serrano E, Córdoba-García L, Fernández-Felipe J, Montalbán-Hernández K, Del Fresno C, Hurtado-Navarro L, López-Collazo E.   +14 more
europepmc   +1 more source

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

Advanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee, Chanhong Hwang, Hyunseok Kang, Yechan Park, Hangwoo Jin, Tuan Anh Nguyen, Eunmi Choi, Dugki Min   +7 more
wiley   +1 more source

Research article proteomics-based plasma biomarkers for predicting CRKP infection in ICU sepsis patients. [PDF]

Front Pharmacol
Mao Z, Yao K, Wang L, Wang Y, Yuan Y.
europepmc   +1 more source

Scalable Platform Enabling Reservoir Computing With Nanoporous Oxide Memristors for Image Recognition and Time Series Prediction

Advanced Intelligent Systems, EarlyView.
The approach of physical in materia computing incorporates parallel computing within the medium itself. A scalable and energy‐efficient, oxide‐based computational platform is realized in form of a nanoporous network of volatile niobium oxide memristors sandwiched between top and bottom metallic electrodes, and then tested for prediction and ...
Joshua Donald, Ben A. Johnson, Amir Mehrnejat, Alex Gabbitas, Arthur G. T. Coveney, Alexander G. Balanov, Sergey Savel’ev, Pavel Borisov   +7 more
wiley   +1 more source

Assessing the impact of bacterial heterogeneity on bacteriophage population dynamics. [PDF]

J Pharmacokinet Pharmacodyn
Beldjenna M, Guedj J, van Hasselt JGC, Guo T.   +3 more
europepmc   +1 more source

Proactive Robotic Grasp Stability via Tactile Safety Margin Feedback

Advanced Intelligent Systems, EarlyView.
We introduce the tactile safety margin (TSM), defined as the ratio between applied friction force (Ffric) and maximum friction (Fmax) derived from grip force. A bilayer E‐skin with decoupled temperature, strain, and pressure sensing enables real‐time grasp stability monitoring through measured TSM values, allowing robots to proactively adjust grip ...
Yebin Park, Jaehyun Kim, Taeyeong Kim, Woosung Cho, Junchen Luo, Myeongryun Seong, Chaeyong Park, Anna Lee, Seungmoon Choi, Insang You, Unyong Jeong   +10 more
wiley   +1 more source