Waste in covid-19 research
BMJ Editorial, May 2020
BMJ Editorial, May 2020
Before the pandemic, it was estimated that up to 85% of research was wasted because of poor questions, poor study design, inefficiency of regulation and conduct, and non or poor reporting of results. Many of these problems are amplified in covid-19 research, with time pressures and inadequate research infrastructure contributing.
How to address the coronavirus’s outsized toll on people of colour- US scientists say that better data, testing and hospital preparedness are key to erasing inequalities — and to defeating the pandemic overall.
N Subbaraman, Nature News, May 18, 2020
N Subbaraman, Nature News, May 18, 2020
Artificial intelligence–enabled rapid diagnosis of patients with COVID-19
X Mei et al, Nature Medicine, May 19, 2020
X Mei et al, Nature Medicine, May 19, 2020
We used artificial intelligence algorithms to integrate chest CT findings with clinical symptoms, exposure history and laboratory testing to rapidly diagnose patients who are positive for COVID-19. Among a total of 905 patients, 419 (46.3%) tested positive for SARS-CoV-2. In a test set of 279 patients, the AI system achieved an area under the curve of 0.92.
Machine learning on Big Data from Twitter to understand public reactions to COVID-19
J Xue et al, ARXIV, May 18, 2020
J Xue et al, ARXIV, May 18, 2020
Critical Impact of Social Networks Infodemic on Defeating Coronavirus COVID-19 Pandemic: Twitter-Based Study and Research Directions
A Mourad et al, ARXIV, May 18, 2020
A Mourad et al, ARXIV, May 18, 2020
DHP Framework: Digital Health Passports Using Blockchain
CM Angelopolous et al. ARXIV, May 18, 2020
CM Angelopolous et al. ARXIV, May 18, 2020
COVID Faster R-CNN: A Novel Framework to Diagnose Novel Coronavirus Disease (COVID-19) in X-Ray Images
KH Shibly et al, MEDRXIV, May 19, 2020
KH Shibly et al, MEDRXIV, May 19, 2020
Reproducing SARS-CoV-2 epidemics by region-specific variables and modeling contact tracing App containment
A Ferrari et al, MEDRXIV, May 19, 2020
A Ferrari et al, MEDRXIV, May 19, 2020
Blacks/African Americans are 5 Times More Likely to Develop COVID-19: Spatial Modeling of New York City ZIP Code-level Testing Results
C DiMaggio et al, MEDRXIV, May 19, 2020
C DiMaggio et al, MEDRXIV, May 19, 2020
Highly sensitive and full-genome interrogation of SARS-CoV-2 using multiplexed PCR enrichment followed by next-generation sequencing
C Li et al, BIORXIV< May 18, 2020
C Li et al, BIORXIV< May 18, 2020
COVID-19 and cancer: do we really know what we think we know?
AG Robinson et al, Nat Rev Clin Oncol, May 18, 2020
AG Robinson et al, Nat Rev Clin Oncol, May 18, 2020
Blockchain-facilitated sharing to advance outbreak R&D
MB van der Waal et al, Science, May 2020
MB van der Waal et al, Science, May 2020
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