How do we go from a single cell to a complex organism? For 50 yrs experimentally meeting the nutritional demands of a growing organism has been a bottleneck in development. For the first time, we built placental support and predictive tools to make it possible. Watch ↓

The extent to which AI is advancing other fields is insane. Things we thought would never be possible are now at the verge of our fingertips, research happening faster than ever, our understanding of systems we could only explain as miracles finally becoming grounded in science. The miracle of life now within our grasp as humanity.

Development underlies most diseases and most therapies. Cancer, neurodegeneration, congenital disorders, immune dysfunction. These are failures of development over time, not just static defects.

The first limitation is experimental. As development advances, current experimental systems fail. Metabolic demands become too high. Nature has solved this problem with the ideal metabolic interface: the placenta.

We built a closed loop robotic metabolic exchange system that allows for sustained and perturbable access to development over long time horizons. This allows development to be studied as it unfolds, not reconstructed after the fact.

For the first time, we engineered an early placenta. This breakthrough unlocks fundamentally new capabilities in learning from development.

Solving that immediately exposed the second limitation. Once you can sustain and perturb development over time, you generate evolving distributions that existing machine-learning methods aren’t built to handle.

That’s why we built a new dynamical modeling class, instantiated as a Model for Virtual Organisms. These models are designed specifically for developmental systems that explore a structured space of possibilities over long time horizons.

Pairing this sustained closed loop developmental access with models built for complex dynamics, stops development being a black box. This makes long horizon causal testing of mammalian development possible.

The implications include: > Testing new treatments for safety > Modeling disease progression > Creating personalized tissues > Supporting development itself …and much more.

If you want to work on: > Long-term biological systems > Causal modeling over time > Foundational tools rather than incremental results Come join us

Becoming is building the foundational capability for developmental intelligence. We’re sharing an early look here:

Best part, working together as bestfriends in life and work @divyacohen and @DrJackETH

@DrJackETH Best part, working together as bestfriends in life and work @divyacohen and @DrJackSF

A category-creating moment for the world of science and health. What a milestone in the journey to understand our own "becoming." Onwards Divya, Jack and the whole Becoming team!

Developmental biology just crossed a tooling threshold.

Wow!

🤯🤯

Congrats @divyacohen + team!

amazing to be honest

From one cell to life itself, this could redefine how we understand development. Are we witnessing a true inflection point?

mind blown. solving the nutrition bottleneck after 50 yrs? game changer

becoming

I’m diving into with that project 💯

@pratik_katte yo bro check it out

Incredible team!

Lets goo

Congrats @divyacohen

生命不是进化奇迹，是工程与能量管理的结果

Amazing! Your artificial placenta and AI model are incredible! Predictions ranging from single-celled organisms to complex organisms will revolutionize cancer and regenerative medicine. As a visionary concerned with the future of life, this gives me a glimpse of the dawn of a longevity era. Looking forward to more breakthroughs!

@drmichaellevin

It's an interesting result. I think the strength is that you can continue to cultivate beyond the existing limit while observing it in vitro. As mentioned, if the culture system works well, it can be used in many fields. Especially, virtual organoids using AI are very interesting.

@shl crazy to see bioengineering irl woahhh

placental support breakthrough after 50 yrs? huge leap forward

Website?

Really interesting

Looks solid I will like to explore the vision of Becoming and how organisms develop from tiny to larger pieces 🧩

yesterday i found this already @alphagate_io told me that brian followed you guys i did my research but it wasnt enough found your website but it's empty let me know if i could help you in some way. DM open

We do it by dropping the theory of random selection and be aware that there is a driving force.

Go team - cant scale fast enough

@peterxing Interesting

Brave new world closer than ever. Any ethics advisors?

@LostSnow_Rin placental support is live

Are you looking at automated labs to get exponential data on development?

We had to build the automation machine ourself to do this. Because standard automation lab machines do not allow for this type of development. And yes, that is the goal. We can enable a fly wheel now whereby the machine generates the data, driving our models, that then drive the machine.

@felps_bra amazing!

@felps_bra are there insights not achievable without ai?

@felps_bra We do need AI. It’s just existing ML models were not capturing the insights well enough. So we had to create our own.

you sound like a buzzword factory to harvest VC cash but if I'm wrong, good luck to you even though I still have no idea what you're doing after reading this thread and watching your video