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| http://dx.doi.org/10.1177/19418744231153471 | DOI Listing |
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Cerebral Microbleeds and Their Association With Inflammation and Blood-Brain Barrier Leakage in Small Vessel Disease.
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Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, United Kingdom.
Background: How cerebral microbleeds (CMBs) are formed, and how they cause tissue damage is not fully understood, but it has been suggested they are associated with inflammation, and they could also be related to increased blood-brain barrier (BBB) leakage. We investigated the relationship of CMBs with inflammation and BBB leakage in cerebral small vessel disease, and in particular, whether these 2 processes were increased in the vicinity of CMBs.
Methods: In 54 patients with sporadic cerebral small vessel disease presenting with lacunar stroke, we simultaneously assessed microglial activation using the positron emission tomography ligand [11C]PK11195 and BBB leakage using dynamic contrast enhanced magnetic resonance imaging, on a positron emission tomography-magnetic resonance imaging system.
Artificial intelligence in triage of COVID-19 patients.
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School of Medicine, University of Brasilia, Brasilia, Brazil.
In 2019, COVID-19 began one of the greatest public health challenges in history, reaching pandemic status the following year. Systems capable of predicting individuals at higher risk of progressing to severe forms of the disease could optimize the allocation and direction of resources. In this work, we evaluated the performance of different Machine Learning algorithms when predicting clinical outcomes of patients hospitalized with COVID-19, using clinical data from hospital admission alone.
View Article and Find Full Text PDFHow AI competencies can make B2B marketing smarter: strategies to boost customer lifetime value.
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College of Economics and Management, Beijing University of Technology, Beijing, China.
There has been a rapid rise in utilization of artificial intelligence (AI) in many different sectors in the last several years. However, business-to-business (B2B) marketing is one of the more notable examples. The initial assessments emphasize the significant advantages of AI in B2B marketing, including its knack for yielding unique understandings into consumer behaviors, recognizing crucial market trends, and improving operational efficiency.
View Article and Find Full Text PDFInterpreting CNN models for musical instrument recognition using multi-spectrogram heatmap analysis: a preliminary study.
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Computer Science and Software Engineering Department, Auckland University of Technology, Auckland, New Zealand.
Introduction: Musical instrument recognition is a critical component of music information retrieval (MIR), aimed at identifying and classifying instruments from audio recordings. This task poses significant challenges due to the complexity and variability of musical signals.
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Deception detection in educational AI: challenges for Japanese middle school students in interacting with generative AI robots.
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School of Systems Information Science, Future University Hakodate, Hakodate, Hokkaido, Japan.
Educational materials that utilize generative AI (e.g., ChatGPT) have been developed, thus, allowing students to learn through conversations with robots or agents.
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