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- Artificial Intelligence (AI) (1)
- Artificial intelligence (1)
- Data Collection (1)
- Deep Convolutional Neural Networks (DCNN); Respiratory Syndrome Coronavirus 2 (SARS-CoV-2); Viral Pneumonia; Chest X-Ray (CXR) (1)
- Digital Transformation (1)
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- Digital pathology (1)
- Elimination of Forever Chemicals (1)
- Epidemiology (1)
- Food Scarcity (1)
- Head and neck tumors (1)
- Health information technology (1)
- Internet of Medical Things (IoMT) (1)
- Internet of Things (IoT) (1)
- Machine Learning (ML) (1)
- Medical identity theft (MIT) (1)
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- Pharmaceutical manufacturing (1)
- Public Health Surveillance (1)
- Refugees (1)
- Technology transfer (1)
- Urban Farming (1)
Articles 1 - 8 of 8
Full-Text Articles in Databases and Information Systems
Reducing Food Scarcity: The Benefits Of Urban Farming, S.A. Claudell, Emilio Mejia
Reducing Food Scarcity: The Benefits Of Urban Farming, S.A. Claudell, Emilio Mejia
Journal of Nonprofit Innovation
Urban farming can enhance the lives of communities and help reduce food scarcity. This paper presents a conceptual prototype of an efficient urban farming community that can be scaled for a single apartment building or an entire community across all global geoeconomics regions, including densely populated cities and rural, developing towns and communities. When deployed in coordination with smart crop choices, local farm support, and efficient transportation then the result isn’t just sustainability, but also increasing fresh produce accessibility, optimizing nutritional value, eliminating the use of ‘forever chemicals’, reducing transportation costs, and fostering global environmental benefits.
Imagine Doris, who is …
How Technology May Be Used For Future Disease Predictions, Rich P. Manprisio
How Technology May Be Used For Future Disease Predictions, Rich P. Manprisio
Journal of Applied Disciplines
Exasperated by the ongoing global pandemic, the healthcare system is grappling with the formidable challenges posed by proper and effective disease treatments. Nevertheless, amidst these growing difficulties, the healthcare field has witnessed significant technological advancements, offering promising avenues for disease prediction. Notably, a positive correlation exists between the utilization of technologies and their potential to serve as valuable tools for disease prediction. As our reliance on technological sophistication continues progressing, current research highlights numerous viable options to augment the healthcare sector. This review explores the current state of utilizing technologies and their potential to enhance healthcare, shedding light on their …
Trend Observation: Analysis On Development Trend Of Precision Medicine
Trend Observation: Analysis On Development Trend Of Precision Medicine
Bulletin of Chinese Academy of Sciences (Chinese Version)
No abstract provided.
Head And Neck Tumor Histopathological Image Representation With Pre- Trained Convolutional Neural Network And Vision Transformer, Ranny Rahaningrum Herdiantoputri, Daisuke Komura, Tohru Ikeda, Shumpei Ishikawa
Head And Neck Tumor Histopathological Image Representation With Pre- Trained Convolutional Neural Network And Vision Transformer, Ranny Rahaningrum Herdiantoputri, Daisuke Komura, Tohru Ikeda, Shumpei Ishikawa
Journal of Dentistry Indonesia
Image representation via machine learning is an approach to quantitatively represent histopathological images of head and neck tumors for future applications of artificial intelligence-assisted pathological diagnosis systems. Objective: This study compares image representations produced by a pre-trained convolutional neural network (VGG16) to those produced by a vision transformer (ViT-L/14) in terms of the classification performance of head and neck tumors. Methods: W hole-slide images of five oral t umor categories (n = 319 cases) were analyzed. Image patches were created from manually annotated regions at 4096, 2048, and 1024 pixels and rescaled to 256 pixels. Image representations were …
Steps Towards Digital Transformation In The Pharmaceutical Manufacturing Landscape Knowledge-Enabled Technology Transfer, Anne Greene Professor, Martin Lipa Dr
Steps Towards Digital Transformation In The Pharmaceutical Manufacturing Landscape Knowledge-Enabled Technology Transfer, Anne Greene Professor, Martin Lipa Dr
Level 3
No abstract provided.
Deep Convolutional Neural Networks For Accurate Diagnosis Of Covid-19 Patients Using Chest X-Ray Image Databases From Italy, Canada, And The Usa, Amgad A. Salama, Samy H. Darwish, Samir M. Abdel-Mageed, Radwa A. Meshref, Ehab I. Mohamed
Deep Convolutional Neural Networks For Accurate Diagnosis Of Covid-19 Patients Using Chest X-Ray Image Databases From Italy, Canada, And The Usa, Amgad A. Salama, Samy H. Darwish, Samir M. Abdel-Mageed, Radwa A. Meshref, Ehab I. Mohamed
The University of Louisville Journal of Respiratory Infections
Introduction: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), famously known as COVID-19, has quickly become a global pandemic. Chest X-ray (CXR) imaging has proven reliable, fast, and cost-effective for identifying COVID-19 infections, which proceeds to display atypical unilateral patchy infiltration in the lungs like typical pneumonia. We employed the deep convolutional neural network (DCNN) ResNet-34 to detect and classify CXR images from patients with COVID-19 and Viral Pneumonia and Normal Controls.
Methods: We created a single database containing 781 source CXR images from four different international sub-databases: the Società Italiana di Radiologia Medica e Interventistica (SIRM), the GitHub Database, the …
Designing The Arriving Refugee Informatics Surveillance And Epidemiology (Arive) System: A Web-Based Electronic Database For Epidemiological Surveillance, William A. Mattingly, Ruth M. Carrico, Timothy L. Wiemken, Robert R. Kelley, Rebecca A. Ford, Rahel Bosson, Kimberley A. Buckner, Julio A. Ramirez
Designing The Arriving Refugee Informatics Surveillance And Epidemiology (Arive) System: A Web-Based Electronic Database For Epidemiological Surveillance, William A. Mattingly, Ruth M. Carrico, Timothy L. Wiemken, Robert R. Kelley, Rebecca A. Ford, Rahel Bosson, Kimberley A. Buckner, Julio A. Ramirez
Journal of Refugee & Global Health
Objectives: We design and implement the Arriving Refugee Informatics surVeillance and Epidemiology (ARIVE) system to improve the health of refugees undergoing resettlement and enhance existing health surveillance networks.
Materials and Methods: Using the REDCap electronic data capture software as a basis we create a refugee health database incorporating data from the Center for Disease Control and Prevention’s Electronic Disease Notification (EDN) system and domestic screening data from refugee health care providers.
Results: Domestic screening and EDN refugee health data have been integrated for 13,824 refugees resettled from 35 different countries into the state of Kentucky from the years 2013-2016.
Discussion: …
Dependence On Cyberscribes - Issues In E-Security, Thomas R. Mclean, Alexander B. Mclean
Dependence On Cyberscribes - Issues In E-Security, Thomas R. Mclean, Alexander B. Mclean
Journal of Business & Technology Law
No abstract provided.