题目：Artificial intelligence-Driven H-2-L Evolution Using A Miniaturized And Automated Chemistry Platform
主讲人：Prof. Alexander Domling, University of Groningen
主持人：Dr. Micky D Tortorella
Automated, miniaturized and accelerated synthesis for efficient property optimization is a formidable challenge in chemistry in the 21st century as it helps to reduce resources and waste and can deliver products in shorter time frames.[1,2] High throughput experimentation methods empower chemists to run orders of magnitude more experiments and enable “big data” informatics approaches to reaction design and troubleshooting. Artificial intelligence in drug discovery has gained remarkable success including syntheses pathway or bioactivity prediction. Hence, the marriage of miniaturized, automated and accelerated synthesis with AI methods promisses a groundbreaking approach for early drug discovery.