UNSCRIPTED INTERVIEWS
EPISODE #3
Leveraging Knowledge Graphs and Generative AI in Life Science for Accelerated Research and Development
In this episode you will learn :
- The distinct characteristics that set knowledge graphs apart from traditional databases and why this matters for the future of data handling and analysis.
- A deep dive into the world of ontologies—the backbone of knowledge graphs—and their critical role in standardizing and sharing complex data within the life sciences sector.
- How knowledge graphs and ontologies are being strategically utilized by organizations to overcome long-standing challenges in the arduous process of drug discovery.
- Insightful discussions around real-world case studies where the application of knowledge graphs has significantly benefited life sciences research and operations.
- The ways in which knowledge graphs have laid the foundational groundwork necessary for the seamless integration and evolution of AI in the realm of drug discovery.
- An exploration of the dynamic interplay between knowledge graphs and AI, detailing how artificial intelligence can extract and apply profound insights from structured data sets.
- The transformative potential and compelling advantages that generative AI presents for revolutionizing traditional drug discovery and development processes.
- Predictions and expectations for the future as the fields of data science and healthcare intertwine—emerging trends, technologies, and the promise they hold for life sciences research.
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TODAY'S SPEAKERS
MEET THIS EPISODE'S EXPERTS
"In the world of Gen AI and new technologies, human validation is crucial. Critical thinking will be the new differentiator between organizations"
RAD ANIBA
RANBIOLINKS
"Data harmonization is vital, as it ensures a seamless integration of diverse data sources, thereby facilitating comprehensive insights and more effective decision-making"
BERENICE WULBRECHT
ONTOFORCE
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