Non‐Invasive Multidimensional Capacitive Sensing for In Vivo Traumatic Brain Injury Monitoring
Single‐electrode, multidimensional capacitive sensors noninvasively assess cerebral autoregulation and compliance for traumatic brain injury monitoring. ABSTRACT Traumatic brain injury (TBI) is a major cause of death and disability, but invasive intracranial pressure (ICP) monitoring is risky, and current non‐invasive methods lack the resolution and ...
Shawn Kim +8 more
wiley +1 more source
An intelligent ensemble machine learning model for early detection of chronic kidney disease in aging populations. [PDF]
Iftikhar H +5 more
europepmc +1 more source
Robust Statistics vs. Machine Learning vs. Bayesian Inference: Insights into Handling Faulty GNSS Measurements in Field Robotics [PDF]
Haoming Zhang
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Hydrogel‐Based Functional Materials: Classifications, Properties, and Applications
Conductive hydrogels have emerged as promising materials for smart wearable devices due to their outstanding flexibility, multifunctionality, and biocompatibility. This review systematically summarizes recent progress in their design strategies, focusing on monomer systems and conductive components, and highlights key multifunctional properties such as
Zeyu Zhang, Zao Cheng, Patrizio Raffa
wiley +1 more source
Machine learning algorithms and artificial neural networks for predicting schizophrenia using orbital parameters. [PDF]
Emre E +5 more
europepmc +1 more source
Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang +5 more
wiley +1 more source
Gut Microbiota and Type 2 Diabetes: Genetic Associations, Biological Mechanisms, Drug Repurposing, and Diagnostic Modeling. [PDF]
Jin X, Chen X, Chen H, Hong X.
europepmc +1 more source
Machine learning aided statistics of flux vacua and their cosmological applications
Piantadosi, Pellegrino <1997>
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Improving official statistics in emerging markets using machine learning and mobile phone data
Pål Sundsøy +5 more
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