A5058175522- SARS-CoV-2 and COVID-19 Research
- COVID-19 epidemiological studies
- COVID-19 Clinical Research Studies
- Data-Driven Disease Surveillance
- SARS-CoV-2 detection and testing
- Bayesian Modeling and Causal Inference
- Musculoskeletal pain and rehabilitation
- Logic, Reasoning, and Knowledge
- Muscle activation and electromyography studies
- Stroke Rehabilitation and Recovery
- Estrogen and related hormone effects
- Bacillus and Francisella bacterial research
- Influenza Virus Research Studies
- Shoulder Injury and Treatment
- Judicial and Constitutional Studies
- Evolutionary Game Theory and Cooperation
- Caveolin-1 and cellular processes
- Constraint Satisfaction and Optimization
- Travel-related health issues
- Advanced Algebra and Logic
- Legal Language and Interpretation
- Poxvirus research and outbreaks
- Climate Change, Adaptation, Migration
- Graph Theory and Algorithms
- Artificial Intelligence in Law
University of Oxford
2020-2025
Google (United States)
2024
Indian Institute of Science Education and Research Kolkata
2010
Indian Institute of Science Bangalore
2009
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern (VOCs) now arise in the context heterogeneous human connectivity and population immunity. Through a large-scale phylodynamic analysis 115,622 Omicron BA.1 genomes, we identified >6,000 introductions antigenically distinct VOC into England analyzed their local transmission dispersal history. We find that six eight largest English lineages were already transmitting when was first reported southern Africa (22...
Purpose: Oral language skills provide a critical foundation for formal education and especially the development of children's literacy (reading spelling) skills. It is therefore important teachers to be able assess skills, if they are concerned about their learning. We report standardization mobile app—LanguageScreen—that can used by professionals ability. Method: The sample included data from approximately 350,000 children aged 3;06 (years;months) 8;11 who were screened receptive expressive...
Health consequences arising from climate change are threatening to offset advances made reduce the damage of infectious diseases, which vary by region and resilience local health system. Here we discuss how change-related migrations disease burden linked through various processes, such as expansion pathogens into non-endemic areas, overcrowding in new informal settlements, increased proximity vectors susceptible human populations. Countries that predicted have highest those least...
We propose a novel machine learning (ML)-driven methodology to estimate biomechanical variables of interest traditionally obtained from upper-extremity musculoskeletal (MSK) modeling. MSK models facilitate personalized modeling, perform "what-if" analyses, and potentially enhance clinical decision-making. In certain settings, are driven by inertial motion capture (IMC) data. IMC systems portable, user-friendly, relatively affordable as well provide additional information. However, can be...
Whilst timely clinical characterisation of infections caused by novel SARS-CoV-2 variants is necessary for evidence-based policy response, individual-level data on infecting are typically only available a minority patients and settings. Here, we propose an innovative approach to study changes in COVID-19 hospital presentation outcomes after the Omicron variant emergence using publicly population-level relative frequency infer likely responsible cases. We apply this method collected large...
Summary SARS-CoV-2 variants of concern (VOCs) arise against the backdrop increasingly heterogeneous human connectivity and population immunity. Through a large-scale phylodynamic analysis 115,622 Omicron genomes, we identified >6,000 independent introductions antigenically distinct virus into England reconstructed dispersal history resulting local transmission. Travel restrictions on southern Africa did not reduce BA.1 importation intensity as secondary hubs became major exporters. We...
Marker-based Optical Motion Capture (OMC) systems and associated musculoskeletal (MSK) modelling predictions offer non-invasively obtainable insights into muscle joint loading at an in vivo level, aiding clinical decision-making. However, OMC system is lab-based, expensive, requires a line of sight. Inertial (IMC) techniques are widely-used alternatives, which portable, user-friendly, relatively low-cost, although with lesser accuracy. Irrespective the choice motion capture technique, one...
BackgroundIndividuals vaccinated against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), when infected, can still develop disease that requires hospitalization. It remains unclear whether these patients differ from hospitalized unvaccinated with regard to presentation, coexisting comorbidities, and outcomes.MethodsHere, we use data an international consortium study this question assess differences between groups are context specific. Data 83,163 COVID-19 (34,843 vaccinated,...
SARS-CoV-2 case data are primary sources for estimating epidemiological parameters and modelling the dynamics of outbreaks. Understanding biases within case-based used in analyses is important as they can detract from value these rich datasets. This raises questions how variations surveillance affect estimation such growth rates. We use standardised line list COVID-19 Argentina, Brazil, Mexico Colombia to estimate delay distributions symptom-onset-to-confirmation, -hospitalisation -death...
We study the distribution of maximum a set random fitnesses with fixed number mutations in model biological evolution. The fitness variables are not independent and correlations can be varied via parameter . present analytical calculations for following three solvable cases: (i) one-step mutants arbitrary , (ii) weakly correlated (iii) strongly In all these cases, we find that limit is standard Gumbel form.
Identifying important policy outputs has long been of interest to political scientists. In this work, we propose a novel approach the classification policies. Instead obtaining and aggregating expert evaluations significance for finite set outputs, use experts identify small significant then employ positive unlabeled (PU) learning search other similar examples in large set. We further automate first step by harvesting “seed” sets from web data. offer an application new classifying over 9,000...
Abstract We present Global.health, a scalable online platform for collecting high-dimensional epidemiological data and transforming those into consistent schema to enable distributed analyses. Global.health was originally developed handle the demands of high-volume, accurate collection line list in early months COVID-19 pandemic. It has since proven amenable rapid adjustment as new variables became relevant, example tracking variants concern vaccination status cases, well clinical data. The...
Anytime inference is performed incrementally, with the accuracy of being controlled by a tunable parameter, usually time. Such anytime algorithms are also interruptible, gradually converging to exact value until terminated. While for specific domains like probability potentials exist in literature, our objective this article obtain an algorithm which sufficiently generic cover wide range domains. For we utilise theory as basis constructing algorithm, and particular, extending work done on...
<div>Abstract<p>Breast cancer stem-like cells (BCSC) are implicated in recurrence and metastasis of triple-negative breast (TNBC). We have recently discovered that ganglioside GD2 expression defines BCSCs ST8SIA1 regulates BCSC function. In this report, we show is highly expressed primary TNBC; its positively correlated with the several BCSC-associated genes such as BCL11A, FOXC1, CXCR4, PDGFRβ, SOX2, mutations p53. CRISPR knockout completely inhibited functions, including...
<div>Abstract<p>Breast cancer stem-like cells (BCSC) are implicated in recurrence and metastasis of triple-negative breast (TNBC). We have recently discovered that ganglioside GD2 expression defines BCSCs ST8SIA1 regulates BCSC function. In this report, we show is highly expressed primary TNBC; its positively correlated with the several BCSC-associated genes such as BCL11A, FOXC1, CXCR4, PDGFRβ, SOX2, mutations p53. CRISPR knockout completely inhibited functions, including...
Oral language skills provide a critical foundation for formal education and especially the development of children’s literacy (reading spelling) skills. It is therefore important teachers to be able assess skills, if they are concerned about their learning. We report standardization mobile App, LanguageScreen (OxEd Assessment, 2022), that can used by professionals ability.