New machine learning technique rapidly analyzes nanomedicines for cancer immunotherapy

Tuesday, February 19, 2019 - 15:50 in Biology & Nature

Spherical nucleic acids are a class of personalized medicines for treating cancer and other diseasesSNAs are challenging to optimize because their structures can vary in many waysNorthwestern University team developed a library approach and machine learning to rapidly synthesize, analyze and select for potent SNA medicines

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