Join Christophe Aubry on March 25th at 12:25pm EST as he presents: “Hybrid AI Approach to Knowledge Discovery”, followed by an interactive roundtable discussion!
Global biomedical content represents critical data for healthcare organizations, which cannot be easily handled by business applications because it is unstructured and varies across different data sources. With speed and accuracy necessities in the medical field, organizations must find a way to overcome this barrier to understanding language.
A hybrid approach to AI, combining the strengths of both natural language understanding and machine learning, provides an ideal solution that mimics the human-like comprehension of biomedical content such as clinical trials, real-world data, medical reports, literature, and social media. This capability can help to accelerate drug discovery and development, innovate faster and increase access to healthcare.
- How Hybrid AI can accurately transform clinical trials data, real world data and scientific literature into knowledge and insight.
- How Hybrid AI can overcome the need of exhaustive training data sets required for pure machine learning based approach
- How Hybrid AI can be explainable by design and overcome the black box phenomenon associated with machine learning