New machine learning technique rapidly analyzes nanomedicines for cancer immunotherapy

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