AI Opportunities in Personalised Medicine
Know how advanced AI analytics can transform your personalised medicines strategy
Multimodal Artificial Intelligence (AI)-enabled analytics are integrating insights from genomics, epigenomics, metabolomics, proteomics and transcriptomics. Allied to imaging data, laboratory tests, electronic health records and real-world data, AI is unlocking a deep understanding of the pathology of diseases and their treatment. So how and where can pharma best leverage value from its AI investment to inform and drive drug discovery, development and personalised medicines programs? For expert insights into the latest developments turn to this report.
- Subject synopsis
- Research methodology and objectives
- Experts interviewed
- Key research objectives
- Key insights summary
- Issues and insights
- Current application of AI by the pharma industry
- Issue summary
- Questions
- Key insights
- Supporting quotes
- Intelligence exhibits
- Multiomics data to drive AI algorithms and the personalisation of medicine
- Issue summary
- Questions
- Key insights
- Supporting quotes
- Intelligence exhibits
- AI transforming the pharma business model
- Issue summary
- Questions
- Key insights
- Supporting quotes
- Intelligence exhibits
- Future applications of AI and multiomics in the evolution of personalised medicine
- Issue summary
- Questions
- Key insights
- Supporting quotes
- Intelligence exhibits
- Further Reading
- Definitions
- Abbreviations
Research Assistance
Learn how to effectively navigate the market research process to help guide your organization on the journey to success.
Download eBook