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http://dx.doi.org/10.7754/Clin.Lab.2021.210848 | DOI Listing |
Pathologie (Heidelb)
January 2025
MVZ Dermatopathologie Duisburg Essen GmbH, Essen, Deutschland.
As in general pathology, digitalization is also inexorably making its way into dermatopathology. This article examines the current state of digitalization in German dermatopathology laboratories based on the authors' own experiences, the current study situation, and a survey of members of the Dermatological Histology Working Group (ADH). Experiences with the establishment of a digital laboratory workflow, artificial intelligence (AI)-based assistance systems, and whole slide images (WSI)-based training programs are discussed.
View Article and Find Full Text PDFThis study intends to optimize the carbon footprint management model of power enterprises through artificial intelligence (AI) technology to help the scientific formulation of carbon emission reduction strategies. Firstly, a carbon footprint calculation model based on big data and AI is established, and then machine learning algorithm is used to deeply mine the carbon emission data of power enterprises to identify the main influencing factors and emission reduction opportunities. Finally, the driver-state-response (DSR) model is used to evaluate the carbon audit of the power industry and comprehensively analyze the effect of carbon emission reduction.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
The Ningbo Institute of Industrial Technology (CNITECH) of the Chinese Academy of Sciences (CAS), Ningbo, China.
Background: Alzheimer's Disease (AD) is a neurodegenerative disorder characterized by progressive cognitive decline and memory loss. Early and accurate diagnosis of AD is crucial for patient information, advance planning, and potentially effective intervention and treatment. The integration of machine learning techniques with brain connectome graphs, encompassing both structural and functional brain connectomes, can enhance the accuracy and efficiency of AD diagnosis.
View Article and Find Full Text PDFSleep Adv
December 2024
Department of Psychology and Program in Neuroscience, Furman University, Greenville, SC, USA.
Robert Stickgold's research was among the earliest to rigorously quantify the effect of learning on dream content. As a result, we learned that dreaming is influenced by the activation of newly formed memory traces in the sleeping brain. Exactly how this happens is an ongoing area of investigation.
View Article and Find Full Text PDFFront Med (Lausanne)
December 2024
Coordination of the Regional Health System, General Directorate for Health Protection, Naples, Italy.
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