Abhishek Jha

No one announces a “data quality failure.”
It shows up as delays, poor model performance, regulatory headaches, and slipping timelines.
We’re great at collecting data, less so at making it usable.
In science, shaky data is a risk, not just tech debt.

#Biomedicaldata #AI

I recently spoke to a biotech team scaling translational research. They have it all - EHRs, omics, imaging, trial data.
On paper: perfect. In reality: chaos.
Mismatched timestamps, missing metadata, systems that don’t talk.

The data exists. But it’s not usable.

#dataquality #AI

1 day left. Have you registered yet?
🔗 Register: bit.ly/kg_webinar

#webinar #AI #knowledgegraph #research

• Apply custom scoring logic and therapeutic-area-specific ontologies.
• Integrate directly with internal tools, platforms, and security systems.

Discover how teams accelerate discovery, improve success rates, and reduce reporting friction with a system that adapts!

In this session, see how teams use Polly KG to:
• Query structured and unstructured biomedical data in natural language (reasoning on the roadmap).
• Access cross-species knowledge graphs built from public and proprietary sources.

🔗 Register: bit.ly/kg_webinar

Polly KG introduces a programmable knowledge layer purpose-built for life sciences R&D. It supports natural language queries, cross-species reasoning, and domain-specific scoring within secure, enterprise environments.

We will demo how teams use Polly KG to:

⚡ Accelerate discovery
🎯 Improve success rates
📊 Cut reporting friction

🔗 Register: bit.ly/kg_webinar

#knowledgegraphs #lifesciences #PollyKG #drugdiscovery #AI #webinar #science #TargetDiscovery #BiomedicalAI #HealthTech

Join us to see what an adaptive knowledge graph looks like.

We’ll show how Polly KG answers your “what ifs” - with custom data integration, schema flexibility, and domain-specific ontologies tailored for research & discovery teams.

After my recent post, it’s clear: the pain around knowledge graphs in biopharma is real.

Disconnected schemas. No context. Engineers overloaded for basic queries.

We’ve been there. We’ve felt that too. And it’s exactly why we built Polly KG.

In this webinar, we’ll show you how it works across GWAS, single-cell, literature & more.

Join us 👉 bit.ly/kg_webinar

#bioinformatics #LifeSciences #AIforScience

When we built Polly KG, we weren’t trying to make just another #knowledgegraph.

We built it to move past rigid schemas, surface NLP, and endless engineering loops - so scientists could just ask and answer questions that matter.

Join us on Aug 5 - bit.ly/kg_webinar

#webinar #AI #bioinformatics

We recently ran a closed Agentic AI workshop with biopharma R&D leaders - every seat filled. Now we’re opening it up virtually.

Join us to build AI agents that actually work with biomedical data.

Request your invite: bit.ly/AgenticAIwor...

#AI #biopharma #clinical #workshop

Have you registered yourself yet? If not, you should do it soon.

👉 bit.ly/AgenticAIwor...

#AI #data #workshops #AgenticAI

Still thinking about the energy at the Festival of Genomics & Biodata in Boston!

Every R&D conversation circled back to AI in cohorting, multi-omics, and the need for better, context-rich data.

Thanks to all who joined our session or stopped by.

Snapshots from the talk👇

We recently ran a closed Agentic AI workshop with biopharma R&D leaders - every seat filled. Now we’re opening it up virtually.

Join us to build AI agents that actually work with biomedical data.

Request your invite: bit.ly/AgenticAIwor...

#AI #biopharma #clinical #workshop

Join us tomorrow at 10:30 AM PT to learn what AlphaGenome delivers and how to apply its predictions effectively in your workflows.

#AI #Genomics #Medicine

Register: bit.ly/alphagenomew...

Last day to join us!

Everyone built data lakes.
Now we’re drowning in unusable data.
AI doesn’t need lakes.
It needs pipelines -focused, governed, built for decisions.

The real bottleneck?
Not compute. Not models.
It’s data usability.
Don’t pour more.
Build better.

#Dataproducts #AI #dataquality

Biomedical teams still treat data like cinema:
Subscribe. Download. Adapt. Wait.

But science moves like reels - live, nonlinear, always evolving.

It’s not about watching the story.
It’s about rewriting it - at the speed of discovery.

#AIReady #DataOpsForScience #BiomedicalData #science #AI

We’re just beginning to see what foundation models like #AlphaGenome can do in functional genomics. But the real breakthroughs happen when you connect predictions to biology, context, and therapeutic intent.

Join Rahul Tyagi on July 17 to see what’s next.

bit.ly/alphagenomew...

#AI #genomics

We’re just beginning to see what foundation models like #AlphaGenome can do in functional genomics. But the real breakthroughs happen when you connect predictions to biology, context, and therapeutic intent.

Join Rahul Tyagi on July 17 to see what’s next.

bit.ly/alphagenomew...

#AI #genomics

Ever wondered what powers great AI?
Fancy models - or clean, reliable data?

In life sciences, I bet on a data-centric approach.

When your data’s noisy & diverse (think omics + clinical), better data beats better models. Every time.

Agree? 👇

#AI #DataQuality #BioTech #AImodel

Hallucination might be AI’s most human trait.

Science evolves through messy, imperfect first drafts.

LLMs aren’t built for truth - they’re built for possibility.

Use them not to answer, but to explore.

That’s where discovery begins.

#AI #LLM #Science #Discovery #AgenticAI

🇺🇸 Happy Independence Day from all of us at Elucidata!

To our colleagues, customers, advisors, and partners in the U.S., thank you for your vision, conviction, and collaboration.

Cheers to a peaceful, safe, and happy holiday.

#IndependenceDay #4thofJuly #Happy4th #July4th

Precision at Scale: Agentic AI Delivers Human-Accurate Biomedical Metadata to Accelerate Precision Medicine Explore how Elucidata's Agentic AI system delivers human-accurate biomedical metadata at scale - solving curation, context, and consistency.

bit.ly/AgenticAIweb... - Get your invite here!

- 93% accurate metadata across 23 biomedical fields
- 4x faster curation vs. expert teams
- Fully traceable and ontology-normalized outputs

Watch the system that outperforms GPT-4.1

Join us live on July 3rd with Nobal Dhruw, Senior Manage ML Elucidata for a live walkthrough!

Built on GPT-4.1 and powered by tree-of-thought reasoning, our new multi-agent AI system outperforms standard prompting baselines across critical metadata fields like disease, tissue, sampling site, donor mapping, demographics, and more.

Here’s what it delivers:

Stop believing "not enough data" is a blocker. It's not. Quality data wins over quantity every time. A small, high-quality dataset is potent. Focus on precision, not just volume.

#leadership #DataScience #AI

One of the most common traps early founders fall into is ..

Focusing on what's easy to answer, not what’s essential to decide.

Should I use HubSpot or Notion?
Should I set up a Delaware C-Corp now or later?
SAFE or convertible note?

Important? Sure.
Defining? No.

Just wrapped a workshop in Boston where we built Agentic #AI systems from scratch.

What breaks most projects? Messy data.
What makes them work? Structure, context & scale -starting at the data layer.

More soon, including a deep dive on our system: bit.ly/AgenticAIweb...

Most scientist-founders aren’t stuck because they filed the wrong paperwork.

They’re stuck because they never asked: Am I building a 5-year platform or a 3-month product?
Scientific clarity ≠ business clarity.

Ask the hard architectural questions - early 😃

#startups #founders