Results 61 to 70 of about 2,322,677 (316)

Semi-automated data provenance tracking for transparent data production and linkage to enhance auditing and quality assurance in Trusted Research Environments

International Journal of Population Data Science
Introduction We present a prototype solution for improving transparency and quality assurance of the data linkage process through data provenance tracking designed to assist Data Analysts, researchers and information governance teams in authenticating ...
Katherine O'Sullivan, Milan Markovic, Jaroslaw A Dymiter, Bernhard Scheliga, Chinasa Odo, Katie Wilde   +5 more
semanticscholar   +1 more source

Next‐generation proteomics improves lung cancer risk prediction

Molecular Oncology, EarlyView.
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj, Clara Frick, Ben Schöttker, Bernd Holleczek, Hermann Brenner   +4 more
wiley   +1 more source

Merging and Extending the PGP and PEM Trust Models - the ICE-TEL Trust Model [PDF]

, 1997
The ICE-TEL project is a pan-European project that is building an Internet X.509 based certification infrastructure throughout Europe, plus several secure applications that will use it.
Chadwick, David W., Kapidzic Cicovic, Nada, Young, Andrew J.   +2 more
core   +1 more source

Overview of molecular signatures of senescence and associated resources: pros and cons

FEBS Open Bio, EarlyView.
Cells can enter a stress response state termed cellular senescence that is involved in various diseases and aging. Detecting these cells is challenging due to the lack of universal biomarkers. This review presents the current state of senescence identification, from biomarkers to molecular signatures, compares tools and approaches, and highlights ...
Orestis A. Ntintas, Sylvia Vagena, Pavlos Pantelis, Giorgos Theocharous, Russel Petty, Konstantinos Evangelou, Vassilis G. Gorgoulis   +6 more
wiley   +1 more source

Applicability of mitotic figure counting by deep learning: a development and pan‐cancer validation study

FEBS Open Bio, EarlyView.
In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes, Maria X. Isaksen, Frida Julbø, Manohar Pradhan, Andreas Kleppe, Sepp De Raedt, Ole‐Johan Skrede, Turid Torheim, John Arne Nesheim, Hans Martin Mohn, Hanne A. Askautrud, Karolina Cyll, Wanja Kildal, Emma Rewcastle, Melinda Lillesand, Vebjørn Kvikstad, Emiel Janssen, Robert Jones, Odd Terje Brustugun, Bjørn Brennhovd, Erik Skaaheim Haug, Lill‐Tove Rasmussen Busund, Elin Richardsen, Sigve Andersen, Tom Dønnem, Kristina Lindemann, Gunnar Kristensen, Neil A. Shepherd, Marco Novelli, Knut Liestøl, David Kerr, Håvard E. Danielsen, Tarjei S. Hveem   +32 more
wiley   +1 more source

TCG based approach for secure management of virtualized platforms: state-of-the-art [PDF]

, 2010
There is a strong trend shift in the favor of adopting virtualization to get business benefits. The provisioning of virtualized enterprise resources is one kind of many possible scenarios.
Aslam, Mudassar, Gehrmann, Christian
core  

CamFlow: Managed Data-sharing for Cloud Services

, 2015
A model of cloud services is emerging whereby a few trusted providers manage the underlying hardware and communications whereas many companies build on this infrastructure to offer higher level, cloud-hosted PaaS services and/or SaaS applications.
Bacon, Jean, Eyers, David, Pasquier, Thomas F. J. -M., Singh, Jatinder   +3 more
core   +2 more sources

Governance Recommendations for Non-Traditional Researchers in Trusted Research Environments (TREs)

, 2022
Trusted Research Environments (TREs) provide secure and trusted infrastructures and services to create an efficient and safe approach to store, link and enable access to data. However, data access to support AI, software development or researchers outside academia or clinical settings has been limited and remains largely aspirational due to a perceived
Mills, Professor Nicholas, Anand, Atul, Harrison, Kathy, Tilbrook, Amy, Dunbar, Stuart, Morris, Carole, Evans, Michelle   +6 more
openaire   +1 more source

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

FEBS Open Bio, EarlyView.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source

Delivering innovative involvement through data engagement infrastructure: the Northern Ireland Public Data Panel

International Journal of Population Data Science
Objectives The Northern Ireland Public Data Panel (NIPDP) facilitates public deliberation on the use of public data across the data ecosystem. Co-created by its members and a team from ADRC NI and the Data Institute, NIPDP develops and tests best ...
Elizabeth Nelson, Frances Burns, John Wilson   +2 more
doaj   +1 more source