Drug and target discovery with explainable AI
Lykke Pedersen, Head of RNA Therapeutics, Abzu
- What is “explainable” artificial intelligence? An intro for scientists and researchers.
- Why is “explainability” necessary for pharma and life science?
- An RNA therapeutics use case: Applying explainable AI to augment understanding.
- The future: How to harness the power of explainable AI to reshape drug development.
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RNA therapeutics is a rapidly expanding industry with increasingly growing potential for immunotherapy, personalised medicines, and treatment of genetic, infectious and chronic diseases. This is reflected with the value of the global antisense & RNA therapeutics market expected to reach USD 1.81 billion by 2025, growing at a CAGR of 7.5%. With Covid-19 rapidly accelerating the RNA landscape through massive regulatory successes, the recent advent of CRISPR, an RNA-guided gene-editing technology, as well as new strides in the delivery of messenger RNA transcribed in vitro, there has been considerable progress in the development of RNA medicines and a major expansion of the RNA-therapeutics field.