Bringing platform trials closer to reality by enabling with digital research environment (DRE) connectivity
JS Barrett, K Lasater, S Russell, S McCune… - Contemporary Clinical …, 2024 - Elsevier
Platform trials are generally regarded as an innovative approach to address clinical
valuation of early stage candidates, regardless of modality as the evidence evolves. As a …
valuation of early stage candidates, regardless of modality as the evidence evolves. As a …
Is Data Sharing Caring Enough About Patient Privacy?: Part I: The Background
Abstract By Timo Minssen (CeBIL, UCPH), Sara Gerke & Carmel Shachar A recent US
lawsuit highlights crucial challenges at the interface of data utility, patient privacy & data …
lawsuit highlights crucial challenges at the interface of data utility, patient privacy & data …
[PDF][PDF] Ethical Considerations in Using Machine Learning for Healthcare Applications
G Olaoye - 2024 - easychair.org
Abstract Machine learning (ML) has the potential to revolutionize healthcare by enabling
advanced diagnostics, personalized treatments, and improved patient outcomes. However …
advanced diagnostics, personalized treatments, and improved patient outcomes. However …
Technology platforms and approaches for building and evaluating machine learning methods in Healthcare
SD Mooney - The journal of applied laboratory medicine, 2023 - academic.oup.com
Background Artificial intelligence (AI) methods are becoming increasingly commonly
implemented in healthcare as decision support, business intelligence tools, or, in some …
implemented in healthcare as decision support, business intelligence tools, or, in some …
Data Governance For Real-World Evidence: Cross-Country Differences And Recommendations For A Governance Framework
AM Cole, LP Garrison, J Mestre-Ferrandiz… - Value in …, 2016 - valueinhealthjournal.com
Objectives The environment for collecting real-world data (RWD) to support decision-making
is changing. Increasingly, regulators are monitoring benefits and risks throughout a …
is changing. Increasingly, regulators are monitoring benefits and risks throughout a …
[HTML][HTML] Clinical research informatics: contributions from 2016
Objectives: To summarize key contributions to current research in the field of Clinical
Research Informatics (CRI) and to select the best papers published in 2016. Methods: A …
Research Informatics (CRI) and to select the best papers published in 2016. Methods: A …
[PDF][PDF] Paper to Digital: IT Automation and Digital Transformation on the Efficiency and Effectiveness of Clinical Trials
S Kumari - researchgate.net
The rapid advancement of technology has resulted in a significant shift in the way clinical
trials are conducted. This paper investigates the impact of IT automation and digital …
trials are conducted. This paper investigates the impact of IT automation and digital …
Access to patient-level trial data—a boon to drug developers
HG Eichler, F Pétavy, F Pignatti… - New England Journal of …, 2013 - Mass Medical Soc
Access to Patient-Level Trial Data — A Boon to Drug Developers | New England Journal of
Medicine Skip to main content The New England Journal of Medicine homepage Advanced …
Medicine Skip to main content The New England Journal of Medicine homepage Advanced …
Towards Adaptive Governance in Big Data Health Research: Implementing Regulatory Principles
E Vayena, A Blasimme - The Cambridge Handbook of …, 2021 - research-collection.ethz.ch
In recent times, biomedical research has begun to tap into larger-than-ever collections of
different data types. As a consequence, the notion of health data–data that are of relevance …
different data types. As a consequence, the notion of health data–data that are of relevance …