Turbine

02/10/2026

How do we move beyond slow, empirical trial-and-error in ADC discovery? 🎯

Our Scientific Project Lead, Jerzy Woźnicki, is taking the stage at the World ADC Conference in San Diego. In this session, Jurek will present our latest data showing how vLab® guides ADC discovery programs from in vitro payload selection through ADC in vivo translation. Our poster covers mapping ADC sensitivity across ~1400 cell line models, predicting synergistic combinations to overcome resistance, and identifying biomarkers beyond target expression to inform preclinical patient-model selection. We'll also showcase how the predictions line up with established clinical and experimental evidence.

Catch him on day two (October 14, 12:30 PM) at the Discovery Biology track, and during the poster session (poster 82).

02/10/2026

Team Turbine is heading to World ADC in San Diego.

With vLab® ADC Intelligence, ADC teams can run virtual experiments before committing wet lab resources to answer questions like:

▪️ Positioning - In which indications is your ADC or payload most effective, and what are the biomarkers of sensitivity or resistance?
▪️ Combinations - Which payload pairs and ADC-small molecule combinations are the most synergistic?
▪️ Translation - How translatable are your in vitro ADC efficacy results into PDX models?

The platform simulates responses for 113 drugs and combinations (including 6 ADCs and 21 payloads), across 1348 biosamples mapped to patient subtypes, plus the option to model your own molecules and samples.

Want a live demo? Find our team at booth 109 or send a direct message to book a time 👋

29/09/2026

Conversations about virtual cells kept ending at "interesting". So we focused on building a platform that lets our partners predict experimental outcomes for ADC discovery.

That focus led to today's expanded collaboration with Daiichi Sankyo, a global leader in ADCs. Our co-founder and CEO Szabolcs Nagy explains which experiments are the real bottlenecks, and why a virtual cell only matters to us once scientists outside Turbine can use it.

Szabi's original post is in the comments.
Announcement: https://eu1.hubs.ly/H0yHHJq0

24/09/2026

Another top pharma on vLab®!

Building on a successful feasibility program, our virtual lab will now support Daiichi Sankyo's proprietary ADC programs, using Virtual Assays to guide payload, combination, indication and biomarker decisions across a vast biological search space. With every lab-in-the-loop cycle, experimental validation feeds back into our models, creating a compounding learning effect across ADC discovery.

We are excited to expand the collaboration into Daiichi Sankyo’s proprietary programs and combine its data and ADC expertise to accelerate the discovery of novel cancer therapies.

Read more: https://eu1.hubs.ly/H0yyY1N0

23/09/2026

Missed Virtual Biology Meetup 3? You can now watch the full session!

In the third episode, on September 15, we asked what the field really needs to know: how do Virtual Assays earn trust in real R&D decisions?

Ci Chu, PhD (Xaira Therapeutics) explained how massive perturbation datasets are teaching virtual cell models to work in biology they've never seen. Krishna C Bulusu, PhD (Turbine) showed what happens when you stop asking "can it predict?" and start asking "can it change a decision?" In the closing fireside, Vinay Varadan, PhD (Merck) sat down with Daniel Veres, MD, PhD (Turbine) for an honest conversation about using Virtual Assays inside pharma: where they've earned trust, and where skepticism still makes sense.

Watch the full recording:

Drug developers don't run on predictions alone; they run on decisio...

14/09/2026

📢 One day to go until our 3rd Virtual Biology Meetup!

Joining the conversation:
🔹 Ci Chu, PhD (Xaira Therapeutics)
🔹 Vinay Varadan, PhD (Merck)
🔹 Krishna Bulusu, PhD (Turbine)

Moderated by Daniel Veres, MD, PhD, Co-founder & CSO at Turbine.
September 15 | 11:00 am - 1:30 pm ET (5:00 – 6:30 pm CET)

There is still time to sign up: https://eu1.hubs.ly/H0yjLQk0
See you there!

25/08/2026

Big news: Turbine has been nominated again for the Prix Galien USA Award in the Best Startup category 🏅

Often referred to as the "Nobel Prize for biopharma innovation," the Prix Galien has spent two decades recognizing the people and companies pushing biomedical science forward. Being named among this year's nominees is a meaningful nod to what our team has built: a platform that virtualizes practical biological assays, so drug discovery moves faster and with a higher probability of success.

vLab™ exists because Turbiners built it. Our partners chose to reimagine drug discovery alongside us. This nomination belongs as much to them as to us.

We'll be cheering on the full class of nominees at the awards ceremony on October 29 at the American Museum of Natural History in New York City.

Congratulations to all companies who also made the shortlist! See the full list here:
https://eu1.hubs.ly/H0xQYWP0

25/08/2026

The Virtual Biology Meetup is back for round three, and this episode gets real about R&D.

We're picking up a question that keeps coming up in R&D: predictions are one thing, but do these tools actually hold up when real decisions are on the line? From scaling Perturb-seq to a fireside on what it actually takes to adopt virtual biology inside a pharma organization, this one goes past the hype and into practice.

Joining the conversation:
🔹 Ci Chu, PhD (Xaira Therapeutics)
🔹 Vinay Varadan, PhD (Merck)
🔹 Krishna Bulusu, PhD (Turbine)
Moderated by Daniel Veres, MD, PhD, Co-founder & CSO at Turbine.

📅 September 15, 2026 | 5:00-6:30 PM CET
The meetup is going to be broadcast, sign up here: https://eu1.hubs.ly/H0xQBzb0

See you there!

Drug developers don't run on predictions alone, they run on decisions. In this episode, we shift the lens from building models that predict specific outcomes…

19/08/2026

The first episode of our upcoming series with The AI in Business Podcast is live.🎙️

Kristóf Szalay (CTO & Co-Founder) and Gerold Csendes (Staff Machine Learning Scientist) sat down with Marilie Fouché to unpack a question the industry still hasn't answered clearly: when is a virtual cell model actually reliable enough to guide a real R&D decision?

Building on our whitepaper Assessing a Virtual Cell's Utility, the conversation explores topics from the state of benchmarking across the field to specific cases where we already see that small, targeted datasets beat a bigger, monolithic data.

🎧 Listen to the full episode: https://eu1.hubs.ly/H0xKrq80
📚 Read our whitepaper: https://eu1.hubs.ly/H0xKrtX0

Thank you Marilie Fouché and the EmerJ team for a great conversation!
Watch out for three more episodes in this series.

12/08/2026

Two Krishnas. One podcast. Zero small talk.🎙️
Our VP Krishna Bulusu joined Krishna Chandra Eluri on Norstella's Proof of Concept to talk AI in drug discovery.

In a field moving this fast, Pharma x TechBio partnerships are becoming the real competitive advantage. They de-risk innovation, speed up adoption, and help teams make better-informed decisions earlier.

That's also the value behind our vLab™ and Virtual Assays: they bring predictive experimentation at computational scale into existing pharma workflows, so teams can explore more biology and build confidence in the calls that matter before committing time and resources in the wet lab.

Worth a listen. 👇🏻

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