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Harnessing of artificial intelligence for the diagnosis and prevention of hospital-acquired infections: a systematic review
Healthcare-associated infections (HAIs) are the most common adverse events in healthcare
and constitute a major global public health concern. Surveillance represents the foundation …
and constitute a major global public health concern. Surveillance represents the foundation …
The impact of artificial intelligence on microbial diagnosis
Traditional microbial diagnostic methods face many obstacles such as sample handling,
culture difficulties, misidentification, and delays in determining susceptibility. The advent of …
culture difficulties, misidentification, and delays in determining susceptibility. The advent of …
[HTML][HTML] Digital evolution and twin miracle of sugarcane breeding
Context Sugarcane, as an important economic crop, faces challenges such as long breeding
cycles, low genetic improvement efficiency, and complex breeding operations. Method In …
cycles, low genetic improvement efficiency, and complex breeding operations. Method In …
Application of artificial intelligence in COVID-19 medical area: a systematic review
Z Chang, Z Zhan, Z Zhao, Z You, Y Liu… - Journal of Thoracic …, 2021 - pmc.ncbi.nlm.nih.gov
Background Coronavirus disease 2019 (COVID-19) has caused a large-scale global
epidemic, impacting international politics and the economy. At present, there is no …
epidemic, impacting international politics and the economy. At present, there is no …
[HTML][HTML] Virus detection methods for different kinds of food and water samples–The importance of molecular techniques
J Hrdy, P Vasickova - Food Control, 2022 - Elsevier
The microbiological safety of food and the environment in which we live is currently an
intensely discussed topic. Increasing production and the demand-driven global market exert …
intensely discussed topic. Increasing production and the demand-driven global market exert …
[HTML][HTML] Comparative Analysis of In-House RT-qPCR Detection of SARS-CoV-2 for Resource-Constrained Settings
We developed and standardized an efficient and cost-effective in-house RT-PCR method to
detect severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We evaluated …
detect severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We evaluated …
CNN-based transfer learning for Covid-19 diagnosis
CNN-based transfer learning method plays a significant role in the detection of various
objects such as cars, dogs, motorcycles, face and human detection in nighttime images by …
objects such as cars, dogs, motorcycles, face and human detection in nighttime images by …
Artificial Intelligence-Based Hybrid Anomaly Detection and Clinical Decision Support Techniques for Automated Detection of Cardiovascular Diseases and COVID-19
MB Terzi - 2023 - search.proquest.com
Coronary artery diseases are the leading cause of death worldwide, and early diagnosis is
crucial for timely treatment. To address this, we present a novel automated artificial …
crucial for timely treatment. To address this, we present a novel automated artificial …
To Solve the Problem of Amplification Products Contamination in the Process of SARS-CoV-2 Nucleic Acid Testing: Substitution Strategies between Kits
X Liu, T Li, D Gu, L Huang, G Li… - Available at SSRN …, 2023 - papers.ssrn.com
The ongoing pandemic of coronavirus disease 2019 (COVID-19) caused by the severe
acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has made a serious public health …
acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has made a serious public health …