Navigating Privacy Requirements for Clinical Trials Across Jurisdictions: Focus on China

Trending Articles
Latest Articles & News

Importance of Data Mapping and Data Flow in Clinical Trials
Data mapping and data flow are crucial components in the management of data, especially in the context of clinical trials. These processes not only ensure compliance with data protection regulations but also enhance the integrity and security of data handling. Here's a breakdown of the key points from your text, specifically tailored to emphasize their significance in clinical trials.

Opening of the Belgian Health Data Agency
On January 17, 2024, Belgium inaugurated its new Health Data Agency, a project approved a year earlier. The agency is designed to improve the accessibility and reusability of health data for secondary purposes. This enhancement of data availability will be executed in a manner that ensures both security and adherence to privacy regulations.

New Concerns For The Life Sciences Industry: Data Sovereignty and Data Hosting
The concept of data sovereignty is currently a hot topic in Europe. This relatively new idea originated from a series of events and geopolitical changes that began in the early 2000s.The issue of data control is emerging as a significant consideration, especially for companies strategizing future data management. This is especially relevant for life sciences companies with global operations, such as clinical trial sponsors managing international multi centric sites or AI health techs building models on international data sources.

EU Regulation Act Officially Adopted
Following 3-day ‘marathon’ talks, the Council presidency and the European Parliament’s negotiators have reached a provisional agreement on the proposal on harmonised rules on artificial intelligence (AI), the so-called artificial intelligence act. The draft regulation aims to ensure that AI systems placed on the European market and used in the EU are safe and respect fundamental rights and EU values. This

Scalable Extraction of Training Data from (Production) Language Models
A research study identifies vulnerabilities across various types of Language Models, ranging from open source (Pythia) to closed models (ChatGPT), and semi-open models (LLaMa). The vulnerabilities in semi-open and closed models are particularly concerning due to the non-public nature of their training data.

iliomad is launching its UK entity !
We're thrilled to share the exciting news of launching our inaugural affiliate in the UK!