Ich kann nur jedem empfehlen, der sich intensiver mit Sellas Life
Science befassen möchte, die Posts von yG19 auf stocktwits /
reddit zu lesen!
Heute hat er den Stand bei stocktwits nochmal gut
zusammengefasst; mit aktuelleren Ergebnissen der besten machine
learning (ML) Modellen für REGAL, deren Ergebnisse er kostenlos
zur Verfügung stellt:
https://stocktwits.com/yG19
SLS
I can provide some context on this. I've been a deep value
investor for years and years and have never owned another Biotech
stock/company before. REGAL where we have been since December
26th, 2025 as of 72 events is a stars-have-to-align situation for
machine learning. There is no other trial other than REGAL I am
aware of where ML can be applied with this degree of structural
precision. The combination of: (1) death as an unambiguous clear
endpoint (2) 60 and 72 hard event counts from press releases at
two time points (3) a disease setting (AML CR2, non eligible for
transplant) with extensive published survival data (4) a trial
that is 90%+ complete by events, that combination does not exist
anywhere else in oncology right now, not even for SLS-009. There
are 99.99% statistical chances of success and topline HR being
.31 to .5, with high possibility of less than .3.