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While the specific agenda may have varied, here are some of the main tracks and topics that were likely covered: Main Tracks: AI and Machine Learning: Discussions on the applications of AI and ML in drug discovery, medical imaging, and personalised medicine.
As these implementations take hold, the emphasis will be on demonstrating measurable return on investment (ROI), with AI driving down administrative burdens, accelerating drugdevelopment, and significantly improving operational efficiency. What’s most exciting to me is AI’s potential impact on personalized medicine.
Wearable monitoring devices, genomics, and AI play vital roles in this transformation, enabling personalized interventions and collective healthdata sharing for research. There are three main advantages to the use of AI in drugdevelopment: width of research, speed of execution, low costs.
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