Happy GPT 5.6 day! We dream of fighting disease with this kind of intelligence. In that spirit, here is a first preview of Cell Cinema, the future cell token for AI models.
And a first for humanity: we recorded ferroptosis label-free, in real-time.
A huge feat for biosciences.
At Precigenetics we take our scientific claims very seriously.
While label-free morphology linked to cell death have existed, achieving native chemistry - spatially resolved actual biochemical process in live cells without labels - is a hard technical challenge.
Receipts 🧵
@Precigenetics Label free real-time imaging /tracking of ferroptosis existed for years, so it's not first for humanity ,is it the spectral mapping that is proprietary?
Female founders don’t even know they are scamming
They see no difference between making up projections and making up actuals
They believe the business is
- Wearing suits
- Holding meetings
- Glass offices
- Speaking at conferences
Basically what an 8 year old thinks a CEO does
Not
- Hitting your numbers
- Solving hard problems
- Honoring your commitments
- Creating value for customers
Happy GPT 5.6 day! We dream of fighting disease with this kind of intelligence. In that spirit, here is a first preview of Cell Cinema, the future cell token for AI models.
And a first for humanity: we recorded ferroptosis label-free, in real-time.
A huge feat for biosciences.
What you are seeing here is incredible. They've built a mechanism that allows them to observe cells reacting to drugs without disturbing the cells. This can unlock discoveries like understanding exactly how cancer cells become treatment resistant allowing better targeting.
We have a high density of talented people.
Thanks to those who voted for us. We are cross disciplinary.
We will keep growing and this year we will exceed expectations.
first time in history ANYONE recorded this label-free, alive, real time. this is HUGE and no one is talking about it.
Ferroptosis = cancer kill itself.
The final boss of “AI drugs” are the cells that fight them.
We just FILMED the FIGHT. here’s why it matters.
🧵
Deeptosis Wang et al. (2026)
Uses brightfield + DL for label-free cell death classifier.
Notes difficulties in direct application to new conditions and need for standardized workflows. morphological features alone lack specificity.
In CellDeathPred from 2023, they highlight that previous staining methods were selective/specific to one death modality (e.g., TfR1 for ferroptosis), and their approach tries to move beyond that by using general cellular content profiling.