autonomous biology is here.

Joined May 2024
45 Photos and videos
Our logo depicts this! it is actually depicting light reaching the gene through a prism in the form of a "P"
and it is not just better, it is cheaper, it shows things others miss. how? our proprietary hardware. biophotonics. AI needs better eyes than human beings. everyone else is putting robots on human measurement.
2
8
1,889
cell cinema
every ai field that scaled first found its unit. language had the token. proteins had the amino acid. images had the pixel, then the patch. cell biology has no equivalent. there is no clean token for “the state of a cell.” that blank is the virtual cell problem. THREAD 🧵
1
10
1,714
Precigenetics reposted
the future of medicine will not be won by the company with the loudest model it will be won by the company with the best biological feedback loop @precigenetic
2
9
86
4,870
The important move is from observe cells after death to sense living cells in real time, perturb them, watch the response, and recursively learn control policies. That is the difference between AI for biology and autonomous biology.
15
1,376
Precigenetic is not building “better biology software.” It is trying to give AI a live biological steering wheel.
13
1,305
Precigenetics reposted
oh right, as i was writing this thread, i just mentioned the biggest thing in passing... so yeah, read it, because... yeah, @precigenetic is about to drive autonomous biology. ok thanks bye
We treat the human skin like a piece of wood that needs varnishing. im a daily SPF wearer. i work on melanoma. but im also a biologist, and every single day, millions smear chemical paste on faces to absorb or bounce away photons. future of sun care is...gene engineering. 🧵
1
18
2,280
It begins.
Breaking news: We just analyzed some of the data we collected over the year. We have been able to discover a new metabolic mechanism of melanoma resistance. We will be testing this hypothesis further. - @precigenetic team.
3
22
6,304
Goodbye.
AI is not accelerating nearly fast enough to cure cancer. That is the problem. And it literally cannot without actually seeing what’s happening inside the cell. There’s this new project claiming their models will “solve” cancer by predicting drug responses at scale. Cool story. Except their entire approach still treats the cell like a black box. They’re optimizing for binding affinity while having zero idea what the drug actually does once it’s inside a real, living cell. Meanwhile we’re over here building the tools to watch the cell in real time. No staining or sequencing. Just direct observation of mechanism. You can simulate all you want. But if you can’t see the actual cellular response, you’re just making very confident guesses about something you’ve never actually looked at. We’ve spent two years proving this. The data is there. The difference is night and day. AI is a tool. It’s not the microscope. If your model can’t tell you why a drug is killing the wrong cells or why resistance is forming in real time… it’s not ready to cure cancer. It’s ready to waste another billion dollars. We’re not competing with AI. We’re giving it eyes. Goodbye.
1
1
7
4,305
how it probably feels to be a doomer about Precigenetics
2
1
12
2,457
We are lucky to have you sasaan ❤️
Those who grasp what we’re doing at @precigenetic tend to be very bullish. A year before I joined, I learned about Parm and her efforts. I sounded just like this guy👇
5
1,926
Precigenetics reposted
Those who grasp what we’re doing at @precigenetic tend to be very bullish. A year before I joined, I learned about Parm and her efforts. I sounded just like this guy👇
the great thing about parm is that she's not selling. she's celling. never ever bet against parm
3
11
7,765
Precigenetics reposted
ICED OUT.
1
3
30
1,745
1
6
1,179
TYCHO
4
594
Precigenetics reposted
theres no competition. because nobody has seen what we have seen
25
32
474
68,680
Precigenetics reposted
For generations, medicine advanced because someone saw what everyone else missed. Hooke saw the cell, Fleming saw mold killing bacteria. lizard venom helped inspire Ozempic and a new generation of metabolic drugs. A failed cardiovascular observation became a hair-growth medicine, CRISPR turned bacterial immunity into programmable gene editing. This is the history of biology: Not just intelligence, but vision. The right instrument, moment, signal...but biology has always had a brutal constraint. We could not see enough. And often, to measure life, we had to destroy it. We killed the cell, we studied the corpse, froze biology into snapshots, then asked models to infer the movie. That is the reason drug discovery fails. Not because humans are stupid. because biology is alive, and our instruments were static. Then AI arrived, and somehow the world made it small. It asked whether AI would write our emails, would take our jobs, it would make our art. But the real question was always: Can AI help us end disease? The answer is yes. but not with language alone. not with molecules generated in a vacuum. not with models trained only on dead endpoints. AI needs contact with the real world. to see cells breathe, respond, resist, recover, collapse, and adapt. it needs live biological feedback. That is what Precigenetics is building. a microscope for the AI age. a system that reads living cells in motion. Without destroying them. This changes the loop. Today, drug discovery is mostly guesswork followed by failure. Design a molecule, test too late, learn too little, lose years, billions, PATIENTS, and HOPE. The next loop is different. Design, then observe, measure, learn, and repeat. In real time. AI has already learned how to generate molecules. now it needs to see what those molecules do. At the moment biology responds. Because disease is not static. A living cell is a decision-making chemical system. And when we can finally measure those decisions, AI can finally learn from life itself. We brought telescopes to the stars. We brought rockets back to the Moon. Now we bring AI to the microscope. Not to simulate biology, to ACTUALLY SEE IT alive. Not to replace scientists. to give science the instrument of MEANING. The future of medicine will not be won by the company with the loudest model. it will be won by the company with the best biological feedback loop. Precigenetics. Cell cinema for the age of AI.
6
7
63
3,937
sonora
1
8
1,143
life blooms when it seeks light
6
625
Precigenetics reposted
a rocket to solve Lowe's incredible point: AI's ability to accelerate discovery is in inverse proportion to where acceleration is most needed. He brought up 1. toxicity, and 2. targets. We go after both. @precigenetic
2
21
1,817