Today we announced a strategic collaboration with @AWS to accelerate building and scaling breakthrough life sciences companies. AWS will provide cloud, AI, and technical expertise to support Flagship and our companies. Learn more about this collaboration here: https://t.co/17JRQKySxa
Super excited that YC will be hosting a Bio + AI hackathon in March, organized by two awesome companies @BioRender and @tamarindbio. Come to the YC office in SF and hack on the next AI scientist, drug discovery method, or bio data infrastructure. One of the prizes is a guaranteed YC interview 👀
link below!
The bottleneck in single-cell research has shifted to analysis. Excited to partner with @10xGenomics and @nvidia to address this challenge.
🔗 Full announcement here: https://t.co/mYzb5ryA1O
At #AtroposHealth, we’re automating high-quality #RWE with @awscloud for healthcare and lifesciences. Our platform, GENEVA OS®, is cloud-based and available within the AWS Marketplace. Watch this video from CEO and Co-founder, Dr. @BrighamHyde to learn more.
It’s our favorite time of the year again -- our 2025 State of Techbio Survey is now live!
This survey is an opportunity for you to help give back to the broader Bits in Bio community.
This survey is our shortest yet, and will take ~3-5 minutes to complete (link below).
🔬 On a mission to rapidly turn ideas into real-world medicines, @TamarindBio is harnessing the power of AI. With #AWS, Tamarind can stay agile & scale at speed, offering scientists the latest #AI models to simplify their workflows. Find out more. 👉 https://t.co/Dlj3qwU1Uw
🔥 We just closed our @KetryxHQ $39M Series B! Led by Transformation Capital, with Lightspeed, MIT's E14 Fund, Ubiquity Ventures, and 53 Stations. https://t.co/JNomu0V9as
Introducing Latent-X — our all-atom frontier AI model for protein binder design.
State-of-the-art lab performance, widely accessible via the Latent Labs Platform.
Free tier: https://t.co/NamdznPWjL
Blog: https://t.co/2UkYDEe8a9
Technical report: https://t.co/0m2s3y7vwN
#News: Today we announced the Polyphonic™ AI Fund for Surgery.
This open call for innovation will help accelerate promising artificial intelligence (AI) solutions.
The QuickFire Challenge is now accepting applications for novel AI technologies with the potential to enhance surgical care across the connected operating room.
Innovators can apply for the first round of the challenge by August 22 for the opportunity to receive grant funding, mentorship, & more: https://t.co/NDisP6XB9w
@JNJInnovMed@JNJInnovation@jjmt_surgery
1/ We're dedicating $100M to support American scientists facing funding cuts through the Lux Science Helpline, an expansion of our Lux Labs program. To compete in the future, innovation must be funded 🧪💡
⚕️ The Healthcare AI Adoption Index⚕️
We partnered with AWS and Bain & Company to learn from 400+ healthcare buyers on what’s driving AI experimentation, from proof-of-concept to production, and how this will impact startups and innovation partners.
Dive into the research from @SofiaGuerraR and @stephenkraus: https://t.co/JM118c4O7T
Meet the judges & mentors for the Tahoe Deep Dive Hackathon & thanks @awscloud for offering the prize: $25K AWS credits to winner, 10K & 5K to 2nd and 3rd. Deadline to apply: Apr 4th, details in 🧵.
A short DM with @ClementDelangue; and now an entire community coming together!
Historic day for builders in bio: We’ve open-sourced @vevo_ai’s #Tahoe100M, largest single-cell atlas ever—by a wide margin—as the inaugural contribution to @arcinstitute’s Virtual Cell Atlas, ready for download today. A leap forward for AI models of cells & drug discovery. 🧵
It's official! I'm attending ViVE 2025, happening February 16-19, 2025 in Nashville. Join me at the only event where digital health execs go to do business: https://t.co/pzYESS21TH #ViVEvent#digitalhealth#healthit#MeetMeAtViVE
We're thrilled to announce our strategic collaboration with @awscloud to advance clinical AI foundation models to tackle healthcare's toughest challenges.
Discover how we're building smarter, more efficient health systems, ensuring next-generation clinical AI drives real impact where it matters most—patient care. https://t.co/LAHSWTag4P
We're thrilled to present ESM3 in @ScienceMagazine. ESM3 is a generative language model that reasons over the three fundamental properties of proteins: sequence, structure, and function. Today we're making ESM3 available free to researchers worldwide via the public beta of an API for biological intelligence.
Trained with over a trillion teraflops of compute, this is the first time a model of this scale has been trained for biology, pushing the frontier of AI for biological discovery and engineering.
ESM3 learns to represent the immense complexity of protein biology, learning from billions of natural proteins. From this training it developed the capability to design proteins, responding to complex prompts combining atomic level details and high level instructions to generate new proteins.
ESM3 can explore protein space far beyond natural evolution. We prompted ESM3 to generate a fluorescent protein at a far distance from any known fluorescent proteins, searching an unknown region of protein space, to discover a new fluorescent protein.
We estimate this is equivalent to simulating five hundred million years of evolution.