Global breast cancer research: moving forward

CH Barrios, T Reinert, G Werutsky - American Society of Clinical …, 2018 - ascopubs.org
Breast cancer is a major global health problem and major cause of mortality. Although
mortality trends are declining in high-income countries, trends are increasing in low-and …

A global federated real-world data and analytics platform for research

MB Palchuk, JW London, D Perez-Rey, ZJ Drebert… - JAMIA …, 2023 - academic.oup.com
Objective This article describes a scalable, performant, sustainable global network of
electronic health record data for biomedical and clinical research. Materials and Methods …

[HTML][HTML] Patient empowerment for cancer patients through a novel ICT infrastructure

H Kondylakis, A Bucur, C Crico, F Dong, N Graf… - Journal of biomedical …, 2020 - Elsevier
As a result of recent advances in cancer research and “precision medicine” approaches, ie
the idea of treating each patient with the right drug at the right time, more and more cancer …

A scoping review of semantic integration of health data and information

H Zhang, T Lyu, P Yin, S Bost, X He, Y Guo… - International Journal of …, 2022 - Elsevier
Objective We summarized a decade of new research focusing on semantic data integration
(SDI) since 2009, and we aim to:(1) summarize the state-of-art approaches on integrating …

Donor's support tool: Enabling informed secondary use of patient's biomaterial and personal data

H Kondylakis, L Koumakis, S Hänold… - International journal of …, 2017 - Elsevier
Purpose Biomedical research is being catalyzed by the vast amount of data rapidly collected
through the application of information technologies (IT). Despite IT advances, the methods …

[HTML][HTML] An ontology-based documentation of data discovery and integration process in cancer outcomes research

H Zhang, Y Guo, M Prosperi, J Bian - BMC Medical Informatics and …, 2020 - Springer
Background To reduce cancer mortality and improve cancer outcomes, it is critical to
understand the various cancer risk factors (RFs) across different domains (eg, genetic …

[HTML][HTML] Knowledge-aware multi-center clinical dataset adaptation: Problem, method, and application

J Chu, J Chen, X Chen, W Dong, J Shi… - Journal of Biomedical …, 2021 - Elsevier
Adaptable utilization of clinical data collected from multiple centers, prompted by the need to
overcome the shifts between the dataset distributions, and exploit these different datasets for …

Improving the estimation of subgroup effects for clinical trial participants with multimorbidity by incorporating drug class-level information in Bayesian hierarchical …

LJ Hannigan, DM Phillippo, P Hanlon… - Medical Decision …, 2022 - journals.sagepub.com
Background There is limited guidance for using common drug therapies in the context of
multimorbidity. In part, this is because their effectiveness for patients with specific …

[PDF][PDF] ShinyAnonymizer: A Tool for Anonymizing Health Data.

M Vardalachakis, H Kondylakis, L Koumakis… - ICT4AWE, 2019 - scitepress.org
Processing and managing sensitive health data requires a high standard of security and
privacy measures to ensure that all ethical and legal requirements are respected. Data …

Development and utility of a clinical research informatics application for participant recruitment and workflow management for a return of results pilot trial in familial …

CA Brunette, T Yi, ME Danowski, M Cardellino… - JAMIA …, 2024 - academic.oup.com
Objective The development of clinical research informatics tools and workflow processes
associated with re-engaging biobank participants has become necessary as genomic …