Major challenges:
“(1) Various non-proportional hazards patterns manifested in CAR-T trials violate the proportional hazards assumption, resulting in underpowered studies conducted in the conventional fashion. How can a novel study design salvage the power loss?
(2) How can the manufacturing process and trial eligibility criterion be improved via artificial intelligence and machine learning?”
Source: https://ww2.amstat.org/meetings/biop/2020/onlineprogram/Program.cfm