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