scholarly journals Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence

2021 ◽  
Author(s):  
Xiang Bai ◽  
Hanchen Wang ◽  
Liya Ma ◽  
Yongchao Xu ◽  
Jiefeng Gan ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
United Kingdom ◽  
Large Scale ◽  
Digital Health ◽  
Privacy Preserving ◽  
Host Institution ◽  
Clinical Practices ◽  
Learning Framework ◽  
The United Kingdom ◽  
Trade Offs

AbstractArtificial intelligence provides a promising solution for streamlining COVID-19 diagnoses; however, concerns surrounding security and trustworthiness impede the collection of large-scale representative medical data, posing a considerable challenge for training a well-generalized model in clinical practices. To address this, we launch the Unified CT-COVID AI Diagnostic Initiative (UCADI), where the artificial intelligence (AI) model can be distributedly trained and independently executed at each host institution under a federated learning framework without data sharing. Here we show that our federated learning framework model considerably outperformed all of the local models (with a test sensitivity/specificity of 0.973/0.951 in China and 0.730/0.942 in the United Kingdom), achieving comparable performance with a panel of professional radiologists. We further evaluated the model on the hold-out (collected from another two hospitals without the federated learning framework) and heterogeneous (acquired with contrast materials) data, provided visual explanations for decisions made by the model, and analysed the trade-offs between the model performance and the communication costs in the federated training process. Our study is based on 9,573 chest computed tomography scans from 3,336 patients collected from 23 hospitals located in China and the United Kingdom. Collectively, our work advanced the prospects of utilizing federated learning for privacy-preserving AI in digital health.

Discourse and Democracy

2020 ◽  
pp. 233-261
Author(s):  
Chris Heffer
Keyword(s):  
European Union ◽  
United Kingdom ◽  
Public Discourse ◽  
Large Scale ◽  
Weapons Of Mass Destruction ◽  
Democratic Legitimacy ◽  
Common Theme ◽  
The European Union ◽  
The United Kingdom ◽  
Voter Fraud

This chapter summarizes the main analytical moves in the TRUST heuristic for analyzing untruthfulness. It then applies the heuristic to three short texts that have been widely called out as lies: Trump’s tweet about large-scale voter fraud just before the 2016 presidential elections; the “Brexit Battle Bus” claim that the United Kingdom sent £350 million per week to the European Union; and Tony Blair’s 2002 statement to Parliament about Iraq possessing weapons of mass destruction. The cases share a common theme: the capacity of untruthful public discourse to undermine democratic legitimacy by, respectively, questioning the integrity of electoral procedures, harming the capacity of voters to make a rational choice, and undermining faith in the rational and responsible deliberation of one’s leaders. The chapter troubles the simple attribution of lying in these cases and shows how a TRUST analysis can lead to a deeper understanding of the types and ethical value of untruthfulness.

scholarly journals Opportunities for Artificial Intelligence in Advancing Precision Medicine

2019 ◽  
Vol 7 (4) ◽  
pp. 208-213 ◽  
Author(s):  
Fabian V. Filipp
Keyword(s):  
Artificial Intelligence ◽  
Precision Medicine ◽  
Large Scale ◽  
Digital Health ◽  
Disease Classification ◽  
Biomedical Data ◽  
Cell Clustering ◽  
Genome Wide ◽  
Definition Of ◽  
Disease Signatures

Abstract Purpose of Review We critically evaluate the future potential of machine learning (ML), deep learning (DL), and artificial intelligence (AI) in precision medicine. The goal of this work is to show progress in ML in digital health, to exemplify future needs and trends, and to identify any essential prerequisites of AI and ML for precision health. Recent Findings High-throughput technologies are delivering growing volumes of biomedical data, such as large-scale genome-wide sequencing assays; libraries of medical images; or drug perturbation screens of healthy, developing, and diseased tissue. Multi-omics data in biomedicine is deep and complex, offering an opportunity for data-driven insights and automated disease classification. Learning from these data will open our understanding and definition of healthy baselines and disease signatures. State-of-the-art applications of deep neural networks include digital image recognition, single-cell clustering, and virtual drug screens, demonstrating breadths and power of ML in biomedicine. Summary Significantly, AI and systems biology have embraced big data challenges and may enable novel biotechnology-derived therapies to facilitate the implementation of precision medicine approaches.

How Do Children of Mixed Partnerships Fare in the United Kingdom? Understanding the Implications for Children of Parental Ethnic Homogamy and Heterogamy

2012 ◽  
Vol 643 (1) ◽  
pp. 239-266 ◽  
Author(s):  
Lucinda Platt
Keyword(s):  
United Kingdom ◽  
Ethnic Group ◽  
Large Scale ◽  
Growing Up ◽  
Sociological Analysis ◽  
Life Chances ◽  
The United Kingdom ◽  
Majority Group ◽  
Extensive Analysis ◽  
Mixed Ethnicity

Many claims are made about the significance of interethnic partnerships for individuals and for society. Such partnerships continue to be seen as a “barometer” of the openness of society and have spawned extensive analysis investigating their patterns, trends, and determinants. But we know little about the experience of children growing up in families of mixed parentage. In the United Kingdom, the increase in the self-defined “mixed” population is often celebrated. But there has been little quantitative sociological analysis that has investigated the circumstances of the children of mixed ethnicity partnerships. Using two large-scale UK datasets that cover a similar period, this article evaluates the extent to which mixed parentage families are associated with circumstances (both economic and in terms of family structure) that tend to be positive or negative for children’s future life chances and how these compare to those of children with parents from the same ethnic group. It shows that there is substantial variation according to the outcome considered but also according to ethnic group. Overall, children in mixed parentage families do not unequivocally experience the equality of outcomes with majority group children that the assimilation hypothesis implies.

'Golden visas' will persist despite EU clampdown

2018 ◽  
Keyword(s):  
United Kingdom ◽  
Money Laundering ◽  
Large Scale ◽  
Public Knowledge ◽  
Content Type ◽  
Transparency International ◽  
Eu Countries ◽  
Background Checks ◽  
The United Kingdom ◽  
The Eu

Subject The 'golden visa' controversy in the EU. Significance The European Commission's announcement on October 10 that it would investigate so-called 'golden visa' schemes follows a report by Global Witness and Transparency International warning that insufficient applicant background checks exposed the EU to large-scale money laundering and corruption. Impacts Greater public knowledge of golden visas will increase domestic pressure on governments. Scandals could worsen relations between the EU and non-EU countries. Applications for visas in the United Kingdom will likely decline if there is a Brexit deal.

scholarly journals The 23–26 September 2012 U.K. Floods: Using PV Surgery to Quantify Sensitivity to Upper-Level Forcing

2017 ◽  
Vol 145 (10) ◽  
pp. 4055-4079 ◽  
Author(s):  
Sam Hardy ◽  
David M. Schultz ◽  
Geraint Vaughan
Keyword(s):  
United Kingdom ◽  
Large Scale ◽  
Extreme Event ◽  
Initial Conditions ◽  
Initial Position ◽  
River Flooding ◽  
The United Kingdom ◽  
Accumulated Rainfall ◽  
Upper Level ◽  
The Impact

Major river flooding affected the United Kingdom in late September 2012 as a slow-moving extratropical cyclone brought over 150 mm of rain to parts of northern England and north Wales. The cyclone deepened over the United Kingdom on 24–26 September as a potential vorticity (PV) anomaly approached from the northwest, elongated into a PV streamer, and wrapped around the cyclone. The strength and position of the PV anomaly is modified in the initial conditions of Weather Research and Forecasting Model simulations, using PV surgery, to examine whether different upper-level forcing, or different phasing between the PV anomaly and cyclone, could have produced an even more extreme event. These simulations reveal that quasigeostrophic (QG) forcing for ascent ahead of the anomaly contributed to the persistence of the rainfall over the United Kingdom. Moreover, weakening the anomaly resulted in lower rainfall accumulations across the United Kingdom, suggesting that the impact of the event might be proportional to the strength of the upper-level QG forcing. However, when the anomaly was strengthened, it rotated cyclonically around a large-scale trough over Iceland rather than moving eastward as in the verifying analysis, with strongly reduced accumulated rainfall across the United Kingdom. A similar evolution developed when the anomaly was moved farther away from the cyclone. Conversely, moving the anomaly nearer to the cyclone produced a similar solution to the verifying analysis, with slightly increased rainfall totals. These counterintuitive results suggest that the verifying analysis represented almost the highest-impact scenario possible for this flooding event when accounting for sensitivity to the initial position and strength of the PV anomaly.

Communicating Public Health Advice After a Chemical Spill: Results From National Surveys in the United Kingdom and Poland

2013 ◽  
Vol 7 (1) ◽  
pp. 65-74 ◽  
Author(s):  
Julia M. Pearce ◽  
G. James Rubin ◽  
Richard Amlôt ◽  
Simon Wessely ◽  
M. Brooke Rogers
Keyword(s):  
Public Health ◽  
United Kingdom ◽  
Large Scale ◽  
Hazardous Substance ◽  
Crisis Communications ◽  
Public Health Preparedness ◽  
The United Kingdom ◽  
The Cost ◽  
And Coping ◽  
The Impact

AbstractObjectiveThe aim of this study was to enhance public health preparedness for incidents that involve the large-scale release of a hazardous substance by examining factors likely to influence public responses to official guidance on how to limit their exposure.MethodsAn online demographically representative survey was conducted in the United Kingdom (n = 601) and Poland (n = 602) to test the strength of association of trust in authorities, anxiety, threat, and coping appraisals with the intention to comply with advice to shelter in place following a hypothetical chemical spill. The impact of ease of compliance and style of message presentation were also examined.ResultsParticipants were more likely to comply if at home when the incident happened, but message presentation had little impact. Coping appraisals and trust were key predictors of compliance, but threat appraisals were associated with noncompliance. Anxiety was seen to promote behavioral change. UK participants were more likely to comply than Polish participants.ConclusionsSuccessful crisis communications during an emergency should aim to influence perceptions regarding the efficacy of recommended behaviors, the difficulties people may have in following advice, and perceptions about the cost of following recommended behaviors. Generic principles of crisis communication may need adaptation for national contexts. (Disaster Med Public Health Preparedness. 2013;7:65-74)

Asylum and the Expansion of Deportation in the United Kingdom

2008 ◽  
Vol 43 (2) ◽  
pp. 146-167 ◽  
Author(s):  
Matthew J. Gibney
Keyword(s):  
Human Rights ◽  
United Kingdom ◽  
Asylum Seekers ◽  
Large Scale ◽  
Policy Innovation ◽  
Liberal Democratic ◽  
The United Kingdom ◽  
Secondary Instrument ◽  
Migration Control

AbstractDeportation has traditionally been seen as a secondary instrument of migration control, one used by liberal democratic states relatively infrequently and with some trepidation. This secondary status has been assured by the fact that deportation is both a complicated and a controversial power. It is complicated because tracking individuals down and returning them home are time-consuming and resource-intense activities; it is controversial because deportation is a cruel power, one that sometimes seems incompatible with respect for human rights. In the light of these constraints, how can one explain the fact that since 2000 the United Kingdom has radically increased the number of failed asylum seekers deported from its territory? I argue in the article that this increase has been achieved through a conscious and careful process of policy innovation that has enabled state officials to engage in large-scale expulsions without directly violating liberal norms.

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