John Snow Labs

John Snow Labs Helping healthcare and life science organizations put AI to work faster with state-of-the-art LLM & NLP.

John Snow Labs, an AI and NLP for healthcare company, provides state-of-the-art software, models, and data to help healthcare and life science organizations build, deploy, and operate AI projects. John Snow Labs, the AI for healthcare company, provides state-of-the-art software, language models, and data to help healthcare and life science organizations build, deploy, and operate AI, LLM, and NLP projects faster.

The patient journey spans clinicians, payers, researchers, and life‑science teams. Our platform fosters collaboration by...
01/06/2026

The patient journey spans clinicians, payers, researchers, and life‑science teams. Our platform fosters collaboration by:
• Providing a shared data‑driven view of patient pathways and treatment outcomes
• Supporting domain‑specific terminologies (SNOMED, ICD‑10, RxNorm)
for consistent insights
• Integrating with existing clinical workflows, dashboards and NLP modules for seamless adoption

Learn more: https://hubs.li/Q03Zy0VZ0


Serious adverse drug events are often buried in clinical narratives.Our models extract these hidden signals, linking RxN...
01/05/2026

Serious adverse drug events are often buried in clinical narratives.

Our models extract these hidden signals, linking RxNorm-coded drugs to MedDRA or SNOMED-coded events with accurate relation and context handling.

Empower your pharmacovigilance team to find what others miss.

Automatically detect Adverse Drug Reactions or Events:
https://hubs.li/Q03Zx_f50

Reviewing de-identification output shouldn’t slow you down. Our visual de-identification tools let compliance teams revi...
01/03/2026

Reviewing de-identification output shouldn’t slow you down.

Our visual de-identification tools let compliance teams review, validate, and approve PHI redaction quickly.

Learn more: https://hubs.li/Q03Zmr1K0

What if trends across communities helped prevent disease before it starts? AI, combining EHR data, environmental factors...
01/02/2026

What if trends across communities helped prevent disease before it starts?
AI, combining EHR data, environmental factors, demographics, and social determinants can power population‑level risk models and public health surveillance.
John Snow Labs supports building population‑health analytics platforms to identify at-risk groups, forecast disease outbreaks or chronic‑disease burden, and help public health organizations allocate resources proactively.

Let’s move from reactive care to preventive, community‑level health planning.

Schedule a call with our Team: https://hubs.li/Q03Zmq-G0

Want to track a patient’s journey over years, across diagnoses, treatments, outcomes, and social determinants? Our clini...
01/02/2026

Want to track a patient’s journey over years, across diagnoses, treatments, outcomes, and social determinants?

Our clinical data curation solution links the patient-level data, harmonizing notes, labs, reports, and metadata into unified datasets. The result: longitudinal analyses, cohort studies, and outcome tracking — all feasible and reliable.

From retrospective research to real‑world evidence generation, structured data changes what you can learn.

Learn more: https://hubs.li/Q03Zmk4P0

12/31/2025

As we step into a new year, the future of healthcare AI isn’t about chasing new models; it’s about making existing ones work in the real world.

In 2026, success will depend on:
• AI that scales beyond pilots and meets clinical-grade standards
• Multimodal systems that understand images, genomics, and notes
• Evaluation frameworks that ensure safety, accuracy, and trust
• Purpose-built LLMs that reflect healthcare’s complexity
• Human-AI loops that deliver both speed and oversight

At John Snow Labs, we’re building for this future, alongside the clinicians, researchers, and engineers turning ideas into impact.

Here’s to a new year of safer, smarter, and production-ready AI.

Healthcare search should know the difference between a disease and a procedure. Our graph-powered architecture enables s...
12/30/2025

Healthcare search should know the difference between a disease and a procedure.
Our graph-powered architecture enables semantic search, clinical query expansion, and personalized recommendations, grounded in medical ontologies.
Schedule a demo: https://hubs.li/Q03Z0CgT0

For any regulated AI deployment, monitoring, traceability, and data privacy must be built in; not added later.Generative...
12/29/2025

For any regulated AI deployment, monitoring, traceability, and data privacy must be built in; not added later.

Generative AI Lab’s latest capabilities include:
• Event-level audit logging
• Configurable storage options
• Secure default policies for PHI

Support compliance without limiting innovation:
🔗 Full details: https://hubs.li/Q03Z0BHQ0

Generic OCR misses clinical nuances. Ours doesn’t. Our Visual NLP solution understands page layouts, medical abbreviatio...
12/28/2025

Generic OCR misses clinical nuances. Ours doesn’t.

Our Visual NLP solution understands page layouts, medical abbreviations, handwriting, and structured fields across 200+ document types, like lab results, referrals, and radiology reports.

Learn more: https://hubs.li/Q03Z0BqK0

John Snow Labs is inviting speaker proposals for deep-dive, practical sessions that go beyond theory. Share your success...
12/27/2025

John Snow Labs is inviting speaker proposals for deep-dive, practical sessions that go beyond theory. Share your success, your lessons, your breakthroughs in:
• Clinical AI and precision medicine
• Automating insights from multimodal health data
• AI for genomics, R&D, and drug discovery
• Payer systems transformation with LLMs
• Navigating risk, governance, and compliance
Join speakers from Mayo Clinic, Microsoft, Genentech & more.
🔗 Submit your proposal now: https://hubs.li/Q03Z0BGt0

Need to share data for research? De-identification is step one. Our pipelines support both Safe Harbor and Expert Determ...
12/27/2025

Need to share data for research? De-identification is step one.

Our pipelines support both Safe Harbor and Expert Determination methods, with traceability, audit logs, and visual review, ideal for registries, academic partners, and clinical trials.

Learn more: https://hubs.li/Q03Z0B890

We’ve curated the top 5 articles that defined healthcare AI in 2025, from LLM benchmarks to revenue cycle breakthroughs....
12/26/2025

We’ve curated the top 5 articles that defined healthcare AI in 2025, from LLM benchmarks to revenue cycle breakthroughs.

Here is your holiday reading list:
1. The Benchmark: Comparing OpenAI vs. Medical Terminology Server Why domain-specific tools still outperform general LLMs in terminology mapping (SNOMED, ICD-10). 🔗 https://hubs.li/Q03Z0BkV0

2. The Deployment Guide: Running Medical LLMs on Databricks A technical guide to the three flexible deployment options: SaaS, VPC, or On-Prem. 🔗 https://hubs.li/Q03Z0zwm0

3. The Clinical Use Case: Success Stories in Oncology How language models are analyzing longitudinal records to assist tumor boards. 🔗 https://hubs.li/Q03Z0zP20

4. The Business Case: Revenue Cycle Optimization Preventing claim denials before they happen by bridging the gap between clinical notes and billing codes. 🔗 https://hubs.li/Q03Z0B1J0

5. The Essential Tool: Why Medical Chatbots Are Essential Moving beyond generic advice to domain-specific reasoning and citations. 🔗 https://hubs.li/Q03Z0Bcy0

Bookmark these for your 2026 strategy planning.

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16192 Coastal Highway Lewes, DE
Delaware City, DE
19958

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Our Story

We believe data science, analytics & software innovators in healthcare are heroes. Our role is to support their vital work with the best quality and most valuable data. If you’re doing large amounts of data science in healthcare, we can help! Software and analytics projects depend on many datasets. Making data ready for analysis takes a lot of time and effort – 50-80% of data scientists’ time, by recent accounts. Datasets are updated on different schedules, so taking care of updates is a hassle. They have different owners, so compliance with multiple license types is an ongoing burden. On top of that, public and proprietary datasets are spread across many catalogs, not all online, so finding the right dataset is a challenge by itself. We give you turnkey data for analysis. Save months to build a clean, useable data library. Save time and improve accuracy by always having all data up to date. Call on our experts to find, acquire or generate hard-to-find datasets. Receive data in the format that tested & optimized for your big data, data science or visualization platform. Reduce duplicate internal effort by providing your team with a shared data library. Enjoy compliance piece of mind, since that’s part of the included support package.

https://www.johnsnowlabs.com/dataops-blog