Getting the right drug to the right tissue is one of the hardest problems in medicine. @ManifoldBio is presenting data on how we're solving it at the Barriers of the CNS Gordon Research Conference next week. Supriya Ravichandran will present our poster on ultra high-throughput in vivo screening for CNS shuttle discovery. Screening hundreds of thousands of in silico-designed molecules simultaneously in vivo, we identify novel receptor portals and tissue-targeting shuttles with differentiated biodistribution profiles. Massively multiplexed in vivo screening is how we turn drug localization from a bottleneck into a solvable design problem, with the same engine extending across tissues and indications. Attending? DM us to connect with Supriya or Marshall Case. 👋 📅 June 14-19, 2026 | New London, NH 📍 grc.org/barriers-of-the-cns-…

Last week, @Anthropic brought together a select group of founders for their Founders’ Lab during #BOSTechWeek. Super to have our Co-Founder & CEO, @glebkuz , be selected to share how @ManifoldBio is doing science in the new era of agents!

Want to learn more about #mBER? Check out our blog: manifold.bio/news/introducin…

For those at Antibody Engineering & Therapeutics Europe, @ManifoldBio AI Protein Design scientist Mike Nichols is in Basel this week giving a talk on mBER, our open-source AI protein design method. Mike will share results from the largest de novo antibody design campaign reported to date: 1M VHH binders designed against 436 targets, achieving 45% target success. mBER designs binders in defined formats, outputting both sequences and predicted binding structures. Paired with in vivo multiplexed screening, it forms Manifold’s direct-to-vivo drug discovery platform, taking AI-designed molecules straight to in vivo readouts. 📅 Friday May 29, 2026 | 11:30am CET | Basel, Switzerland 📍@ Antibody Engineering & Therapeutics Europe

We’re excited to join @AnthropicAI for the Founders’ Lab: AI for Life Sciences during #BOSTechWeek tomorrow May 27th in Boston. @ManifoldBio 's Co-Founder & CEO, @glebkuz , will speak on a panel with other AI x Bio leaders about how Manifold is building the Virtual Organism and the agentic infrastructure enabling it. 📍 Boston 🗓 Wednesday, May 27 ⏰ 1:30–5 PM ET Limited-capacity event; approval required to attend. Event Link: partiful.com/e/gKBL52v6jIOhz…

If you're attending @PEGSboston, don't miss the talk by our Co-founder and CTO, @PierceOgdenJ, on Manifold Bio's approach to one of the hardest problems in drug development: getting the right drug to the right tissue. Pierce will present our platform, which connects AI-driven protein design to functional readouts in living systems. Using massively parallel molecular multiplexing, Manifold can evaluate hundreds of thousands of designs simultaneously in any biological context, including in vivo. Our multiplexed in vivo screening platform allows simultaneous assessment of tissue distribution across hundreds of receptor candidates in a single study. This enables programmable, selective delivery of diverse therapeutics across the body, driving a pipeline of tissue-targeted medicines. Directly after his talk, Pierce will join a panel on de novo biologics design chaired by @SurgeBiswas (@nablabio), alongside Prashanth Vishwanath (@TakedaPharma) and Maria Wendt (@sanofi). 📅 Friday May 15, 2026 | 10:55 am ET 📍 PEGS Boston - pegsummit.com

Heading to #TIDESUSA? Don't miss the talk by our Co-Founder and CTO, @PierceOgdenJ. Current oligonucleotide delivery technologies are not optimized for diverse tissues and therapeutic product profiles. Pierce will present data from @ManifoldBio's multiplexed in vivo screening platform, which we used to test thousands of AI-designed protein shuttle candidates against hundreds of novel receptors directly in living systems, revealing diverse biodistribution profiles across brain and peripheral tissues and identifying new conjugate partners for improved oligonucleotide delivery. 📅 Wednesday May 13, 2026 | 2:30pm ET 📍 TIDES - informaconnect.com/tides

If you're attending the NOVA Conference hosted by @aginginit, don't miss the talk by our CSO, Kimberly Scearce-Levie. Previously, Kimberly led translational science at Denali Therapeutics, including the biomarker strategy for Hunter syndrome program that recently became the first FDA-approved biologic engineered to cross the blood-brain barrier. At NOVA, she'll share data on @ManifoldBio’s novel shuttles that deliver therapeutics into the brain with greater uptake and improved tolerability over first-generation shuttles. Powering this is Manifold's ability to test hundreds of thousands of designs simultaneously, in vivo. The same engine is delivering tissue-targeted medicines beyond the brain, into adipose, muscle, and other tissues. Delighted to share the stage with @JimGormanMDPhD (@wyssinstitute), Brandi Simpson (Switch Therapeutics), and Kirk Brown (@Alnylam). 🗓 Saturday April 25, 2026 | 2:30–3:30pm ET | Boston, MA 📍NOVA - novaneuro.org

🔗 More about mBER: manifold.bio/news/introducin…

🔗 amazon.science/publications/…

Great to see Manifold’s #mBER AI protein design model in action! As part of the Amazon Bio Discovery launch this week, @AmazonScience performed agent-guided de novo design using three independent methods including @ManifoldBio 's #mBER to design nanobody binders against a novel cancer target, identifying several sub-nanomolar hits. mBER is now available via Amazon Bio Discovery.

Achievement unlocked: @ManifoldBio highlighted at the @NYSE for being named to @FastCompany 's Most Innovative Companies of 2026. Manifold Bio is building organism-scale AI to transform drug discovery Recent highlights: - Million-scale AI protein design collaboration with #NVIDIA. - $2B collaboration with Roche We’re just getting started.

Read more here: fastcompany.com/91497087/bio…

AI is catalyzing the greatest acceleration of engineering capability in human history. Drug discovery, still serial by nature, hasn't kept pace. One molecule, one experiment at a time, starved of data at the right scale and physiological relevance to fuel AI-guided design. @ManifoldBio is making biology massively parallel, testing hundreds of thousands of drug designs simultaneously in a single experiment, including in living systems. We use this data to build organism-scale models of biology, which, combined with our AI-guided molecular design, power a fundamentally new approach to drug development. We're honored to be named one of @FastCompany 's Most Innovative Companies of 2026. This recognition reflects what's been an extraordinary year for the team: - Broke the 100,000-plex barrier for massively parallel in vivo studies - Released mBER, a state-of-the-art de novo antibody design model - Secured a $2B ($55M upfront) partnership with Roche, the biggest AI x Bio deal of the past 4 years - Ran a world-first with @NVIDIAHealth : 1 million AI-designed binders. 127 targets. 100M protein-protein interactions. One experiment. We're bringing biology into the digital realm. This is just the beginning.

🗓 Saturday March 21, 2026 | 11:55–12:10 CET 📍Copenhagen, Denmark

Underlying this work, and central to Manifold's pipeline of tissue-targeted medicines, is our multiplexed in vivo screening platform that allows simultaneous assessment of tissue distribution across hundreds of receptor candidates in a single study.

In this particular study, we engineered shuttles that deliver anti-amyloid antibodies with enhanced brain uptake and improved tolerability relative to first-generation shuttled antibodies.

At @adpdnet , Naveen will present our work identifying novel CNS-specific blood-brain barrier receptors and engineering shuttles that deliver therapeutic payloads into the brain.

If you're at #ADPD2026, don't miss Naveen Mehta’s talk on @ManifoldBio’s approach to one of the core challenges in treating neurodegenerative diseases: getting drugs across the blood-brain barrier.

The study between @ManifoldBio and @NvidiaHealth generated thousands of new annotated structures for future model training. and sets a new benchmark for matching the throughput of generative AI models with experimental validation at equivalent scale. 👉 research.nvidia.com/labs/gen…