the graduation is dependent upon a bayesian calculation requiring "powering", similar to when chasing a p-value. they have a very specific value that the calculation must "achieve" for the graduation. 85% probability of success in the following phase. its not a meeting where a bunch of people say "hey we think this looks good lets move it on." its a very specific calculation that is updated in real time and then a buzzer goes off when the threshold is met.
phase 1 bayesian is based on toxicity.
phase 2 is based on efficacy of course.
phase 2 has a set in stone minimum of 20 patients before graduation to phase 3 is possible, maximum 120. if leron / ici performs similar to the retro data it will graduate a lot closer to 20 than 120. less than 60. less than 40 i think is fair to say. i'm always conservative so i don;t wanna set myself and others up for disappointment and say something weird like "well of course at 20 its done!". virtually nothing in biotech ever happens when you think it will happen.
https://www.quantumleaphealth.org/wp-content/...Barker.pdf