The pharma sector is harnessing the power of AI across various key areas.
For instance, in drug discovery and development, AI algorithms can predict molecule properties and identify potential drug candidates, saving time and costs. AI is also aiding in target identification, analysing biological data to prioritise effective drug targets. Predictive analysis helps assess drug success or failure by considering factors like chemical structure and clinical trial data. AI optimises clinical trial design by identifying patient populations likely to benefit from a drug. AI in healthcare helps in many ways. It repurposes drugs, tailors treatments, and aids in disease diagnosis with image analysis, and plays a role in patient-facing applications. This saves time, reduces costs, and improves accuracy.
While AI offers immense potential, it is crucial to maintain human oversight, validation, and regulatory compliance to ensure patient safety and ethical standards are met. Therefore, to determine the greatest ROI, identify the most mature application, and decide where to focus or pull back in AI implementation, careful consideration is necessary.
Join this meeting to collaboratively discuss the potential of AI across the pharma value chain :
Who’s leveraging artificial intelligence in pharma today?
Along the value chain, where is the greatest opportunity for the application of AI? What are the most impactful areas where pharma companies can leverage AI to build long term ROI’s?
What are the challenges in implementing AI models and utilising predictive modelling on a vast scale?
We would like to remind you that our meetings are small and intimate sessions with a limited number of seats available, therefore we rely on your attendance and participation to ensure a high quality and valuable meeting for all. If you are confirmed for this meeting we ask if you can please ensure your attendance on the day.
