Nicola Bonzanni

Entrepreneur at the intersection of #bioinformatics #immunology #research #dataviz

[ENPICOM @enpicom]

New episode of #ModelsnMolecules is live!

Talip Uçar, founding member of Boltz, joins us to discuss the real competitive advantages in drug discovery: data, compute, and culture.

[ENPICOM @enpicom]

Manual data processing annotation is slow, inconsistent, and shows up as quality problems once data hits an ML model.

Automating that layer improves data quality and lets scientists focus on what they do best: interpreting results, making decisions, driving discovery forward.

[ENPICOM @enpicom]

New modalities are showing up in every pipeline, but how good are these complex molecules actually going to be, and can we predict it?

In episode 5 of #ModelsnMolecules we discuss where AI is moving the needle in antibody discovery and the gaps holding the field back.

[ENPICOM @enpicom]

We're excited to be exhibiting at #BioITExpo this week.

📆 May 19 - 21 | 📍 Booth 416

Come chat with us about biologics discovery pipelines that connect your data, automate your workflows, and bring in the AI tools your team needs.

See you there!

[ENPICOM @enpicom]

Are bigger models really the answer for therapeutics, or are we missing the point?
Do Soon Kim challenges the prevailing belief that we can simply scale our way to better drugs, just as the tech world did with LLMs: https://t.co/cG3Lqnjczs #ModelsnMolecules #MachineLearning

[ENPICOM @enpicom]

Boston, we're on our way! ✈️ENPICOM is heading to #PEGSummit next week.

Stop by Booth 310 to meet our experts, see live demos of our platform, and chat about what it takes to operationalize AI in #biologics discovery: from custom analysis pipelines to agentic use cases.

[ENPICOM @enpicom]

Where will AI have the biggest impact on #biologics discovery over the next decade?

Nicola spoke with Cerlin Roberts about adoption, automation, and what's next for AI in biologics discovery.

Full conversation here: https://t.co/regGNWCG9n

[Boris Cherny @bcherny]

Dogfooding Opus 4.7 the last few weeks, I've been feeling incredibly productive. Sharing a few tips to get more out of 4.7 🧵

[ENPICOM @enpicom]

New episode of Models & Molecules is live!

Steve Comeau shares his perspective on what it takes to move AI-designed binders from promising algorithms to real value in biopharma.

Watch/listen here: https://t.co/1wnuAwm3yz
#ModelsnMolecules #AIinpharma

[ENPICOM @enpicom]

🚨 Last call!

Join experts from @Illumina, @TwistBioscience, and @ENPICOM today at 8:00 AM PDT to see how long-read sequencing and computational tools are transforming #antibodydiscovery workflows.

Join us here: https://t.co/5ry4kz86Ge

[ENPICOM @enpicom]

Our team is heading to #NGB2026 next week, and we look forward to connecting with industry leaders in London! 🇬🇧

🗓️ March 24–25 | 📍 Booth 74

See you there!

[ENPICOM @enpicom]

Zero-shot models promise to transform drug discovery by removing the need for wet-lab validation. But until we can fully trust them, what is the most reliable path forward?

Watch #ModelsnMolecules Episode 4: https://t.co/hZlm1J7RrG

[ENPICOM @enpicom]

New episode of #ModelsnMolecules is live!
Jiwon Kim, Product Lead at AWS AI Life Science, joins the show to explain why cloud + software are becoming core drug discovery infrastructure and what it will take to move from lab-in-the-loop workflows to truly zero-shot models.

[ENPICOM @enpicom]

AI on paper vs. AI in practice 💡

Hear from experts at Sanofi, Eli Lilly, Amgen, AbbVie, and Genmab as they share real-world lessons from adopting AI/ML in biologics discovery and engineering.

Watch the recording: https://t.co/TRTzFXfJ0K

#AIinPharma #drugdiscovery

[ENPICOM @enpicom]

In the latest episode of #ModelsnMolecules, Do Soon Kim argues the true driver of pharma’s rapid #AIadoption is its potential to offer insights that surpass human intuition in a field that has long thrived on human ingenuity.
🎙️ Full interview: https://t.co/3ofspzGkEA

[ENPICOM @enpicom]

Pharma has historically been risk-averse.
But today, the biggest risk is NOT adopting machine learning as your core platform.
🎙️ Hear from Do Soon Kim, Head of Product at Xaira Therapeutics, on Models & Molecules Ep. 3: https://t.co/FZyVREneyX

[ENPICOM @enpicom]

New episode of #ModelsnMolecules is out!
We speak with Do Soon Kim, Head of Product at Xaira Therapeutics, about the crucial role of effective communication in diverse teams, the current state of AI adoption, and the need for a deep understanding of biological context.

[ENPICOM @enpicom]

We've all seen promising tech fail to deliver. What do we learn from it?

In our recent episode of Models & Molecules, René Hoet gives a candid take on navigating the hype cycle: https://t.co/DoQuwQYm7T #ModelsnMolecules #drugdiscovery

[ENPICOM @enpicom]

Innovation in biopharma doesn’t happen by accident; it’s a compound effect of data discipline, cross-functional culture, and a willingness to take real technical risk. Learn more in the premier episode of #ModelsnMolecules: https://t.co/KJij6MVaVq #AIinpharma

[ENPICOM @enpicom]

🌟 We’re heading to #PEGSEurope in Lisbon!

📆 Date: November 11 - 13 | 📍Booth 313

Come chat with us about your biologics discovery workflows and learn how ENPICOM can accelerate AI adoption.