We benchmarked Biomni, SpatialAgent, and Polly on spatial transcriptomics. Results: "Precision" math is useless if the citations are fabricated.
We favor traceability over flashy, unverified outputs. Reliability > Hype.
Full deep dive: www.elucidata.io/blog/compara...
#HealthcareAI #Drugdiscovery
This essay is about what shifted for me as a founder after really sitting with Epic’s story, and what it means if you’re building AI in healthcare in an age that rewards speed, but is ultimately governed by trust and integration
open.substack.com/pub/ajelucid...
A three‑hour “boring” deep dive on a hospital software company shouldn’t be the thing that shakes your worldview, but this one did for me. Epic went from “annoying EMR vendor” in my head to a quiet masterclass in vertical software, data moats, and playing the long game in a life‑or‑death domain.
AI is great at pattern matching. In drug discovery, that’s not enough.
Joined the @DataStorage team to talk about:
Why pattern‑matching AI breaks in messy biology
OOD problems as the real opportunity
Data‑centric vs model‑centric AI
Infra, costs, and deploying safely in regulated environments
Here is the link to the complete article - ajelucidata.substack.com/p/the-twelft...
Not a victory lap. Just an honest check-in on what moved, what hurt, and what’s worth doubling down on next year.
This newsletter is a simple pass through my own highlights, lowlights, and funlights from 2025, and a small prompt to choose better inputs, not just chase better outcomes, in 2026.
Until we bridge that perception gap, between data as ownership and data as collaboration, pre-competitive sharing will remain a nice idea that never scales.
Science doesn’t fail for lack of compute.
It fails for lack of connection.
#Biopharma #AI #OpenScience
It’s not a technical issue , it’s cultural.
We overestimate the value of isolated data and underestimate the power of shared context.
Most datasets lose their edge when they’re disconnected from the bigger picture. Still, everyone treats theirs as a moat.
Every biopharma leader agrees: “Pre-competitive data sharing is essential.”
Yet when it’s time to act, no one moves first. Here's what I think about it- 👇
Some people think “data-centric AI” means having more data.
It doesn’t. It means.....
..Having fewer regrets!
#CleanData #SmarterAI #DataCentricAI
Most founders over-index on product. GTM success = knowing your ACV, product complexity, and who decides (champion or committee).
“AI” isn’t a GTM differentiator, clear value is.
What GTM mistake slowed you down the most?
#startups #AI #healthtech
Gearing up for 𝗗𝗮𝘁𝗮𝗙𝗔𝗜𝗥 2025 in Boston.
7 years in, we ask the hard questions:
• Can AI & LLMs actually speed drug discovery?
• What bold bets will reset pharma?
• How do we move from pilots → production?
Oct 23, let’s dig in.
#LifeSciences #AIinBiopharma
Strategic framework for leaders:
→ Core differentiators: Build / Co-build
→ Enabling technologies: Partner
→ Experimental capabilities: Partner first
Organizations planning to "build everything ourselves" are about to learn why platform economics always win.
What's your AI partnership strategy?
The consolidation wave starts now.
Shuttle-Molecule.ai acquisition signals what's coming.
The AI-pharma partnership landscape will get very concentrated, very fast.
Speed beats control.
While some debate "build vs. buy," winners deploy AI across value chains through partnerships.
Control is expensive. Speed is profitable.
Data network effects = new competitive moats.
Companies accessing the richest AI datasets create compound advantages.
Your proprietary data + their AI platform > your data + your basic AI.
Platform economics beat proprietary development.
Pharma giants choose specialized AI partners over in-house teams.
Why? Lower risk + faster deployment + cutting-edge capabilities.
In-house development can't compete with specialized focus.
The "we'll build our own AI" era just ended.
Takeda ↔ Nabla Bio: Renewed
Sanofi: New AI deal
Salt AI: $10M raised
Shuttle acquires Molecule. ai
The smart money figured out: AI isn't a feature you build—it's an ecosystem you join.
Want to be part of one?
Mail us: elmarketing@elucidata.io
These are mismatched tools, fragmented workflows, opportunities lost in translation.
Moments like this help show what needs to change.
We want to keep doing this, building a community of people committed to making life-science R&D more connected, scalable, effective.
Earlier last week in #Philadelphia, we hosted a small group dinner during #BioTechX USA 2025.
It felt great to sit down with heads of R&D, data, and operations from #pharma, #biotech, and #diagnostics hearing directly what they care about and what still trips teams up.
Clinical & real-world datasets can unlock breakthroughs in #drugdevelopment & #precisionmedicine - but patient data is fragmented across labs, imaging, omics & outcomes.
Join us to see how we unify it into a #KnowledgeGraph!
👉 bit.ly/kg-webinar_p...
Data scientist: “Do we need provenance tracking?”
"Yes. Because blind trust is not FDA-compliant."
That sentence has stayed with me. Because behind every therapy, every discovery, are scientists fighting battles we rarely see. Not against biology alone - but against time.
4/4
#personalstory #CEO
At the end, she said something I’ll never forget:
👉 “For patients like me, all we have is hope. Hope that somewhere, some scientist is doing one more experiment that might help us.”
3/4
At a retreat during my time at Agios, our CEO invited a patient to share her story. She was a mom in her 30s, living with chronic anemia. Blood transfusions had shaped her entire life - through childhood and motherhood.
2/4
One of my personal goals has always been to give back time to scientists - so they can focus on what they do best: bringing life-changing therapies to patients.
This goal didn’t come from a business plan. It came from a conversation that’s stayed with me for years.
1/4
One of my biggest goals has always been simple: give scientists back time. Because behind every therapy, every discovery, is someone fighting not just biology, but time.
And sometimes an extra hour can change everything.
#personalstory #CEO
