David Leslie

ORCID: 0000-0001-9369-1653
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About
Contact & Profiles
Research Areas
  • Ethics and Social Impacts of AI
  • Fluid Dynamics and Turbulent Flows
  • Electronic Packaging and Soldering Technologies
  • Privacy-Preserving Technologies in Data
  • Explainable Artificial Intelligence (XAI)
  • Artificial Intelligence in Healthcare and Education
  • Diabetes and associated disorders
  • Wind and Air Flow Studies
  • Diabetes Management and Research
  • Big Data and Business Intelligence
  • Computational Fluid Dynamics and Aerodynamics
  • Data Quality and Management
  • Nuclear reactor physics and engineering
  • Diabetes, Cardiovascular Risks, and Lipoproteins
  • Ethics in Clinical Research
  • Nuclear Materials and Properties
  • Diabetes Treatment and Management
  • Adhesion, Friction, and Surface Interactions
  • Graphite, nuclear technology, radiation studies
  • Law, AI, and Intellectual Property
  • Gas Dynamics and Kinetic Theory
  • Fluid Dynamics and Vibration Analysis
  • Legal and Policy Issues
  • Nuclear and radioactivity studies
  • Pancreatic function and diabetes

The Alan Turing Institute
2020-2024

Queen Mary University of London
1992-2024

Turing Institute
2020-2024

Life Cycle Engineering (United States)
2019-2022

University of Maryland, College Park
2013-2022

Barts Health NHS Trust
2022

Harvard University Press
2016

St Bartholomew's Hospital
1995-2015

University of London
1980-2015

American Institute of Biological Sciences
2012-2013

The problem of subgrid modelling, that is, representing energy transfers from large to small eddies in terms the only, must arise any eddy simulation, whether equations motion are open or direct (unaveraged) closed (averaged). Models for calculations derived classical closures, and these used determine effect filter shape, grid-scale spectrum anisotropy on effective viscosity: Leonard resolvable-scale stress is calculated separately found account 14% total drain a typical high Reynolds...

10.1017/s0022112079000045 article EN Journal of Fluid Mechanics 1979-03-01

Autoimmune diseasesActivation of the immune response is a major feature many disease processes.Immune responses can be protective, as in infectious diseases, or destructive, autoimmune inflammatory both.The usually involves activation both T and B cells, latter producing antibodies that detected sera used to guide clinical management certain diseases.Here, we focus on autoantibodies predictive markers disease.While practical value has been realized some conditions, it remains underutilized...

10.1172/jci14452 article EN Journal of Clinical Investigation 2001-11-15

A remarkable time of human promise has been ushered in by the convergence ever-expanding availability big data, soaring speed and stretch cloud computing platforms, advancement increasingly sophisticated machine learning algorithms. Innovations AI are already leaving a mark on government improving provision essential social goods services from healthcare, education, transportation to food supply, energy, environmental management. These bounties likely just start. The prospect that progress...

10.48550/arxiv.1906.05684 preprint EN cc-by arXiv (Cornell University) 2019-01-01

In September 2019, the Council of Europe's Committee Ministers adopted terms reference for Ad Hoc on Artificial Intelligence (CAHAI). The CAHAI is charged with examining feasibility and potential elements a legal framework design, development, deployment AI systems that accord Europe standards across interrelated areas human rights, democracy, rule law. As first necessary step in carrying out this responsibility, CAHAI's Feasibility Study, by its plenary December 2020, has explored options...

10.2139/ssrn.3817999 article EN SSRN Electronic Journal 2021-01-01

Among the most damaging characteristics of covid-19 pandemic has been its disproportionate effect on disadvantaged communities. As outbreak spread globally, factors such as systemic racism, marginalisation, and structural inequality have created path dependencies that led to poor health outcomes. These social determinants infectious disease vulnerability disaster converged affect already communities with higher levels economic instability, exposure, infection severity, death. Artificial...

10.1136/bmj.n304 article EN cc-by-nc BMJ 2021-03-15

Innovations in data science and artificial intelligence/machine learning (AI/ML) have a central role to play supporting global efforts combat COVID-19. The versatility of AI/ML technologies enables scientists technologists address an impressively broad range biomedical, epidemiological, socioeconomic challenges. This wide-reaching scientific capacity, however, also raises diverse array ethical need for researchers act quickly globally tackling SARS-CoV-2 demands unprecedented practices open...

10.1162/99608f92.4bb9d7a7 article EN cc-by Harvard data science review 2020-06-05

Latent autoimmune diabetes in adults is type 1 presenting as non-insulin dependent diabetes. One feature of the selection criteria time independent insulin treatment. We examine validity this criterion.Patients were recruited nine European centers, and clinicians reported on for initiating insulin. All patients tested GAD antibodies (GADAs) a central laboratory. examined to treatment GADA-positive six participating centers.There was intercenter variation used initiate Median 16.15 months...

10.2337/dc07-1308 article EN Diabetes Care 2008-02-28

Among the most damaging characteristics of COVID-19 pandemic has been its disproportionate effect on disadvantaged communities. As outbreak spread globally, factors such as systemic racism, marginalisation, and structural inequality have created path dependencies that led to poor health outcomes. These social determinants infectious disease vulnerability disaster converged affect already communities with higher levels economic instability, exposure, infection severity, death. Artificial...

10.2139/ssrn.3837493 article EN SSRN Electronic Journal 2021-01-01

The Advancing Data Justice Research and Practice (ADJRP) project aims to widen the lens of current thinking around data justice provide actionable resources that will help policymakers, practitioners, impacted communities gain a broader understanding what equitable, freedom-promoting, rights-sustaining collection, governance, use should look like in increasingly dynamic global innovation ecosystems. In this integrated literature review annotated bibliography we hope lay conceptual groundwork...

10.2139/ssrn.4073376 article EN SSRN Electronic Journal 2022-01-01

Responding to the rapid roll-out and large-scale commercialization of foundation models, large language generative AI, an emerging body work is shedding light on myriad impacts these technologies are having across society. Such research expansive, ranging from production discriminatory, fake toxic outputs, privacy copyright violations, unjust extraction labor natural resources. The same has not been case in some most prominent AI governance initiatives global north like UK's Safety Summit...

10.1145/3630106.3658939 article EN cc-by 2022 ACM Conference on Fairness, Accountability, and Transparency 2024-06-03

The murine gene lpr encodes an aberrant form of the apoptosis-inducing receptor Fas. gld, which causes autoimmune syndrome phenotypically identical to that caused by lpr, a mutant Fas ligand. Because must be expressed in both T and B cells produce disease, it might anticipated apoptosis abnormalities would present both. Therefore, we quantitated from normal mice short-term vitro culture system. Freshly isolated spleen normal, or gld showed little no as assessed quantitative DNA flow...

10.4049/jimmunol.154.2.936 article EN The Journal of Immunology 1995-01-15

Harris, Graham & Corrsin (1977) have measured the properties of quasi-homo-geneous turbulence field induced by a large mean shear, and in analysing their measurements they neglect diagonal components mean-field contribution to pressure–strain correlation. Their are re-analysed using recommendations Gibson Launder (1978) for modelling this correlation, imbalance between production dissipation being allowed algebraic technique Rodi (1976): experimental data give strong support Rodi's basic...

10.1017/s0022112080000237 article EN Journal of Fluid Mechanics 1980-05-29

This paper gives a new and very simple method of calculating Dancoff factors in regular arrays cylindrical fuel rods. is readily applicable to canned fuel, comparisons with Monte Carlo calculations show that its accuracy adequate for practical purposes. The also an extension the standard equivalence theorem which, unlike itself, accurate enough work. enables resonance integrals be calculated from factor integral homogeneous mixtures. These methods have been compared Levine; result most satisfactory.

10.13182/nse65-a19764 article EN Nuclear Science and Engineering 1965-05-01
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