-From precision oncology to precision oncology 2.0: How AI and multi-omics integration are redefining individualized care strategies.
-The role of digital twins: Using virtual patient models to simulate disease progression, treatment responses, and predict outcomes.
-Use case in clinical development: Accelerating trial design, patient recruitment, and adaptive protocol optimization through predictive analytics.
-Regulatory and ethical considerations: What needs to be addressed for digital twin models and AI to be clinically validated and adopted.
-Opportunities and Challenges – How are digital technologies and AI changing the efficiency, quality, and ethics of clinical trials?
-Automation and Data Analytics – What role does AI play in patient recruitment, data analysis, and decision-making?
-Future Perspectives – How can regulatory frameworks and technological innovations further advance the development of clinical trials?
-Human vs. Machine – How does the human factor remain relevant and crucial in an increasingly AI-driven research environment?
-How can real-world evidence improve Phase 4 clinical trials?
-New regulatory framework enabling effective use of RWE
-Laying the groundwork for the use of AI and other technologies to increase efficiency and save time and costs
-Learn about practical applications of synthetic data in clinical trial design, patient simulation, and rare disease research.
-Discuss key challenges, including regulatory acceptance, data quality validation, and ethical considerations.
-Share strategies for integrating synthetic datasets to improve model training, study diversity, and data protection.
-Enhancing Drug Discovery: Explore how Microsoft’s AI technology accelerates the identification and validation of new drug targets through advanced data analytics and machine learning models.
-Optimizing Clinical Trials: Discover Microsoft’s role in improving the efficiency of clinical trial designs, participant selection, and outcome predictions using AIdriven
insights.
-Quantum AI: new frontiers of quantum computing and first applications in drug discovery
In this masterclass, we focus on the solutions and applications presented in the previous presentation, while going into practical examples and case studies.
- Enhancing Drug Discovery: Explore how Microsoft’s AI technology accelerates the identification and validation of new drug targets through advanced data analytics and machine learning models.
-Optimizing Clinical Trials: Discover Microsoft’s role in improving the efficiency of clinical trial designs, participant selection, and outcome predictions using AI-driven insights.
-Quantum AI: new frontiers of quantum computing and first applications in drug discovery
Diese interaktive Masterclass richtet sich an Führungskräfte und Teams, die bereit sind, die Leistungsfähigkeit der KI in ihrem täglichen Betrieb zu nutzen. Unser Ziel ist es, KI zu entmystifizieren und Sie mit umsetzbaren Strategien auszustatten, um die Kompetenz Ihres Unternehmens bei der Nutzung dieser transformativen Technologie zu verbessern. Während des Workshops werden wir uns mit drei Schlüsselbereichen befassen:
-Was ist Everyday AI und wie kann man Unternehmen weiterbilden?
-Wie können Unternehmen in die Lage versetzt werden, Champions bei der täglichen Nutzung von KI zu werden und ihre Anwendungsfälle voranzutreiben?
-Wie kann man den Fortschritt messen und an die Geschäftsleitung berichten?