Overview
The UK government’s £600,000 Smart Data Challenge aims to revolutionize cross-sector data innovation, focusing on financial services, energy, retail, transport, and property markets.
Prize Structure & Timeline
Initial funding: Up to £50,000 for 10 finalists (May…
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Generating synthetic data from medical records is a complex task intensified by patient privacy concerns. In recent years, multiple approaches have been reported for the generation of synthetic data, however, limited attention was given…
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Electronic health records (EHRs) secondary usage with large language models (LLMs) raise privacy challenges. National regulations like GDPR and HIPAA offer protection frameworks, but specific strategies are needed to mitigate risk in generative AI….
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Translational research in toxicology has significantly benefited from transcriptomic profiling, particularly in drug safety. However, its application has predominantly focused on limited organs, notably the liver, due to resource constraints. This paper presents TransTox,…
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The success of deep learning (DL) relies heavily on training data from which DL models encapsulate information. Consequently, the development and deployment of DL models expose data to potential privacy breaches, which are particularly…
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Clinical research relies on high-quality patient data, however, obtaining big data sets is costly and access to existing data is often hindered by privacy and regulatory concerns. Synthetic data generation holds the promise of…
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Great Ormond Street Hospital for Children is one of six leading European children’s hospitals to collaborate on the PHEMS project, aiming to revolutionise how children’s health data is managed and used to help advance…
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Jewish General Hospital in Montreal had a problem with its patient data: Despite having plenty of it, the process of extracting insights that improved patient care was arduous and onerous.THE PROBLEM
It has a large…
Welcome to our Healthcare IT Today Weekly Roundup. Each week, we’ll be providing a look back at the articles we posted and why they’re important to the healthcare IT community. We hope this gives…
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The next public health pronouncement or clinical treatment might emerge from synthetic data: rows of totally invented people that contain no real data but reflects the actual characteristics of a population such as race,…
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