Artificial intelligence is being used by life science organizations to accelerate drug development and spur medical device innovation through genomic profiling, and optimize clinical development strategies. Machine learning and model training have the ability to efficiently analyze large volumes of data for deeper insights to inform novel therapy development. While systems and platforms have been developed to transform several stages of the therapeutic development life cycle, the industry is becoming more demanding of real-world examples of how machine learning is being applied across the biomedical landscape.
Take the chance to meet Hans-Peter Riecken, SVP North America, and discuss how the Cortical.io technology stack can help you extract data from clinical reports, or identify adverse drug effects from unstructured clinical narratives. Contact Hans-Peter
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