Continual active learning is a transformative approach in the enhancement of screening techniques, particularly for breast cancer, colon cancer, and certain neurological diseases. This method integrates continuous learning and active data collection, allowing artificial intelligence (AI) systems to progressively improve their accuracy and efficiency. Drawing inspiration from the MyPeBS (My Personal Breast Screening) project, which focuses on personalized breast cancer screening across Europe, continual active learning involves AI systems that actively query experts in uncertain cases, learning from these interactions to refine their predictive models over time. This iterative process not only enhances the AI’s diagnostic capabilities but also ensures that it adapts to new data and evolving medical knowledge, leading to more accurate and timely detection of diseases. By leveraging continual active learning, healthcare providers can significantly improve the effectiveness of screening programs, ultimately leading to earlier detection and better patient outcomes.

• Success factors for an increased AI implementation in healthcare
• Description of a large scale real world AI in Diabetes and Obesity usecase with >150.000 patients
• Benchmarking between AI and physician decision making
• AI driven efficiency increase for GLP 1 Receptor Agonists

This talk explores how generative AI can be harnessed to meet the specific needs of data protection in the life sciences sector. Instead of focusing on AI development, we will dive into three practical use cases that highlight MyData-TRUST’s enhanced efficiency through AI-driven solutions:

1. Regulatory Queries: Streamlining responses to complex regulatory inquiries.
2. Document Queries: Enhancing search capabilities within extensive document repositories.
3. Document Compliance Checks: Automating compliance assessments to ensure adherence to regulatory standards.

These examples illustrate how generative AI can revolutionize data protection practices, making processes faster, more accurate, and compliant with industry regulations.