Recent advances in artificial intelligence (AI) have enabled machines to take on complex tasks that were once thought to be impossible for machines to accomplish. Now, researchers from the University of Michigan have developed a machine-based framework that can help scientists measure the difficulty of synthesizing new molecules. This framework can help scientists create more efficient and cost-effective methods of synthesizing molecules, making it easier and faster to develop new drugs and other valuable compounds. The framework is based on AI algorithms that can accurately predict the difficulty of synthesizing a molecule by analyzing its structure and properties. This will enable researchers to quickly identify which molecules are most difficult to synthesize and develop strategies for tackling those molecules. With this new technology, scientists can speed up the drug discovery process and make it more cost-effective.

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source: Phys.org