AIMC Topic: Pandemics
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Blockchain in Healthcare: Insights on COVID-19.
International journal of environmental research and public health
Sep 30, 2020
The SARS-CoV2 pandemic has impacted risk management globally. Blockchain has been increasingly applied to healthcare management, as a strategic tool to strengthen operative protocols and to create the proper basis for an efficient and effective evide...
IL6-mediated HCoV-host interactome regulatory network and GO/Pathway enrichment analysis.
PLoS computational biology
Sep 30, 2020
During these days of global emergency for the COVID-19 disease outbreak, there is an urgency to share reliable information able to help worldwide life scientists to get better insights and make sense of the large amount of data currently available. I...
Analysis of COVID-19 clinical trials: A data-driven, ontology-based, and natural language processing approach.
PloS one
Sep 30, 2020
With the novel COVID-19 pandemic disrupting and threatening the lives of millions, researchers and clinicians have been recently conducting clinical trials at an unprecedented rate to learn more about the virus and potential drugs/treatments/vaccines...
Prognostic machine learning models for COVID-19 to facilitate decision making.
International journal of clinical practice
Sep 29, 2020
An increasing number of COVID-19 cases worldwide has overwhelmed the healthcare system. Physicians are struggling to allocate resources and to focus their attention on high-risk patients, partly because early identification of high-risk individuals i...
Using machine learning of clinical data to diagnose COVID-19: a systematic review and meta-analysis.
BMC medical informatics and decision making
Sep 29, 2020
BACKGROUND: The recent Coronavirus Disease 2019 (COVID-19) pandemic has placed severe stress on healthcare systems worldwide, which is amplified by the critical shortage of COVID-19 tests.
Viral pandemic preparedness: A pluripotent stem cell-based machine-learning platform for simulating SARS-CoV-2 infection to enable drug discovery and repurposing.
Stem cells translational medicine
Sep 22, 2020
Infection with the SARS-CoV-2 virus has rapidly become a global pandemic for which we were not prepared. Several clinical trials using previously approved drugs and drug combinations are urgently under way to improve the current situation. A vaccine ...
CT scan AI-aided triage for patients with COVID-19 in China.
The Lancet. Digital health
Sep 22, 2020
Unveiling COVID-19 from CHEST X-Ray with Deep Learning: A Hurdles Race with Small Data.
International journal of environmental research and public health
Sep 22, 2020
The possibility to use widespread and simple chest X-ray (CXR) imaging for early screening of COVID-19 patients is attracting much interest from both the clinical and the AI community. In this study we provide insights and also raise warnings on what...
A machine learning algorithm to increase COVID-19 inpatient diagnostic capacity.
PloS one
Sep 22, 2020
Worldwide, testing capacity for SARS-CoV-2 is limited and bottlenecks in the scale up of polymerase chain reaction (PCR-based testing exist. Our aim was to develop and evaluate a machine learning algorithm to diagnose COVID-19 in the inpatient settin...
COVID19XrayNet: A Two-Step Transfer Learning Model for the COVID-19 Detecting Problem Based on a Limited Number of Chest X-Ray Images.
Interdisciplinary sciences, computational life sciences
Sep 21, 2020
The novel coronavirus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a major pandemic outbreak recently. Various diagnostic technologies have been under active development. The novel coronavirus disease (COVID-19) may induce ...
COVID-19 Testing
Datasets as Topic
X-Rays
Clinical Laboratory Techniques
Betacoronavirus
Radiography
Models, Biological
Coronavirus Infections
Reference Values
Pneumonia, Viral
Coronavirus
Pandemics
COVID-19
Algorithms
Databases, Factual
Lung
Deep Learning
Pneumonia
Tomography, X-Ray Computed
SARS-CoV-2
Humans
Neural Networks, Computer
Machine Learning
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