Petaflops help scientists understand why some COVID-19 variants are more contagious
Supercomputer-power calculations have helped to uncover how certain variants of the COVID-19 virus"improve" – ie, become more contagious – through their binding energy with human cells.
At the start of the pandemic, Xiche Hu, associate professor at the department of chemistry and biochemistry, thought the work might be well placed to help explain the way the nefarious virus spreads among humans.to cut the time taken for calculation set to describe the coronavirus's binding processes. Collectively, OSC supercomputers provide a peak computing performance of 7.5 Petaflops.
Joined by two doctoral students, Pawan Bhatta and Majed Aljohani, he began looking at differences between the original SARS-CoV-2 and new so-called variants of concern at the atomic level. VoC are those strains which health orgs consider problematic because of their increased transmissibility, morbidity or mortality rates.
France Dernières Nouvelles, France Actualités
Similar News:Vous pouvez également lire des articles d'actualité similaires à celui-ci que nous avons collectés auprès d'autres sources d'information.
Factors associated with resistance to SARS-CoV-2 infection discovered using large-scale medical record data and machine learningThere have been over 621 million cases of COVID-19 worldwide with over 6.5 million deaths. Despite the high secondary attack rate of COVID-19 in shared households, some exposed individuals do not contract the virus. In addition, little is known about whether the occurrence of COVID-19 resistance differs among people by health characteristics as stored in the electronic health records (EHR). In this retrospective analysis, we develop a statistical model to predict COVID-19 resistance in 8,536 individuals with prior COVID-19 exposure using demographics, diagnostic codes, outpatient medication orders, and count of Elixhauser comorbidities in EHR data from the COVID-19 Precision Medicine Platform Registry. Cluster analyses identified 5 patterns of diagnostic codes that distinguished resistant from non-resistant patients in our study population. In addition, our models showed modest performance in predicting COVID-19 resistance (best performing model AUROC=0.61). Monte Carlo simulations conducted indicated that the AUROC results are statistically significant (p | 0.001) for the testing set. We hope to validate the features found to be associated with resistance/non-resistance through more advanced association studies.
Lire la suite »
Coding long COVID: characterizing a new disease through an ICD-10 lens - BMC MedicineBackground Naming a newly discovered disease is a difficult process; in the context of the COVID-19 pandemic and the existence of post-acute sequelae of SARS-CoV-2 infection (PASC), which includes long COVID, it has proven especially challenging. Disease definitions and assignment of a diagnosis code are often asynchronous and iterative. The clinical definition and our understanding of the underlying mechanisms of long COVID are still in flux, and the deployment of an ICD-10-CM code for long COVID in the USA took nearly 2 years after patients had begun to describe their condition. Here, we leverage the largest publicly available HIPAA-limited dataset about patients with COVID-19 in the US to examine the heterogeneity of adoption and use of U09.9, the ICD-10-CM code for “Post COVID-19 condition, unspecified.” Methods We undertook a number of analyses to characterize the N3C population with a U09.9 diagnosis code (n = 33,782), including assessing person-level demographics and a number of area-level social determinants of health; diagnoses commonly co-occurring with U09.9, clustered using the Louvain algorithm; and quantifying medications and procedures recorded within 60 days of U09.9 diagnosis. We stratified all analyses by age group in order to discern differing patterns of care across the lifespan. Results We established the diagnoses most commonly co-occurring with U09.9 and algorithmically clustered them into four major categories: cardiopulmonary, neurological, gastrointestinal, and comorbid conditions. Importantly, we discovered that the population of patients diagnosed with U09.9 is demographically skewed toward female, White, non-Hispanic individuals, as well as individuals living in areas with low poverty and low unemployment. Our results also include a characterization of common procedures and medications associated with U09.9-coded patients. Conclusions This work offers insight into potential subtypes and current practice patterns around long COVID and spe
Lire la suite »
The impact of specific comorbidities and overall multimorbidity on the three mechanistically distinct phases of COVID-19The impact of specific comorbidities and overall multimorbidity on the three mechanistically distinct phases of COVID-19 NatureMedicine EdinburghUni COVID19 coronavirus covid comorbidity SARSCoV2
Lire la suite »
Mum given months to live after doctors blamed cancer symptoms on Covid jabMum given months to live after doctors wrongly blamed cancer symptoms on Covid jab and told her she had an STI
Lire la suite »
Celebrity tweets likely shaped US negative public opinion of COVID-19 pandemic, finds studyTweets by people in the public eye likely increasingly shaped negative public opinion of the COVID-19 pandemic as it progressed in the US, suggests an analysis of sentiments expressed in social media posts, published in the open access journal BMJ Health & Care Informatics.
Lire la suite »
Camilla pulls out of visit with Charles as she continues to recover from CovidBuckingham Palace has said that Camilla, the Queen Consort, has pulled out of a royal visit to a food charity in London with Charles as she continues to recover from Covid
Lire la suite »