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 Applied Healthcare AI Summit 2026 returns on April 14–15 as a free, two-day virtual event focused on how Generative ...
02/05/2026

The Applied Healthcare AI Summit 2026 returns on April 14–15 as a free, two-day virtual event focused on how Generative AI, Agentic AI, and Continuous Governance are being applied in real healthcare and life sciences environments.

Now in its sixth year, the summit features 30+ technical sessions and keynotes covering production architectures, deployment patterns, and lessons learned from operating AI under clinical, regulatory, and operational constraints.

Registration is open.

Register now: https://hubs.li/Q04206ds0

From negation to temporality, medical language is complex. Our models outperform generic LLMs on clinical NER, relation ...
01/28/2026

From negation to temporality, medical language is complex. Our models outperform generic LLMs on clinical NER, relation extraction, summarization, and de-identification—because they’re trained on what actually happens in healthcare.

🔹 Learn more: https://hubs.li/Q040Kpdt0

PHI can appear anywhere, headers, footers, scanned handwriting. Visual NLP detects and de-identifies PHI across mixed-fo...
01/28/2026

PHI can appear anywhere, headers, footers, scanned handwriting.

Visual NLP detects and de-identifies PHI across mixed-format documents, helping teams meet Safe Harbor and Expert Determination standards.

Schedule a demo: https://hubs.li/Q040Kp6-0

It’s tomorrow! - From Raw Data to OMOP Gold: Architecting the Secondary Use Data Platform for Clinical AI Agents with Da...
01/27/2026

It’s tomorrow! - From Raw Data to OMOP Gold: Architecting the Secondary Use Data Platform for Clinical AI Agents with David Cecchini, Senior Data Scientist, John Snow Labs

Effective AI Agents for the secondary use of clinical data depend on a robust, structured, and traceable data foundation. Without this, even the most advanced models cannot deliver reliable, explainable, or auditable outcomes.

Join us on Wednesday, January 28, 2026 at 2:00 PM ET for a technical and architectural discussion on designing an end-to-end data platform that enables AI Agents to operate accurately, securely, and at scale in healthcare environments.

This webinar will present a reference architecture positioning the Patient Journeys Platform as a critical data preparation layer—bridging raw, multimodal clinical data and Agent-ready datasets aligned to the OMOP Common Data Model.

Key topics include:

- Ingestion of multimodal clinical data from heterogeneous sources
- Scalable processing for de-identification, information extraction, and medical coding
- Transformation into enriched OMOP-compliant datasets Bronze, Silver, and Gold data layers and their role in maintaining full data provenance
- How structured data enables auditable clinical reasoning and inference

We will also demonstrate how identified and de-identified, Agent-ready datasets support high-value secondary use cases such as cohort discovery and clinical trial matching, while clearly differentiating secondary use AI platforms from primary use systems such as EHRs and ambient documentation tools.

🔗 Register here:
https://hubs.li/Q040w8PQ0

This 39-video course, "Beyond Data Annotation with Generative AILab," demystifies the entire production pipeline, empowe...
01/24/2026

This 39-video course, "Beyond Data Annotation with Generative AI
Lab," demystifies the entire production pipeline, empowering your team
to build accurate models with zero code.

The training focuses on essential governance and control:
• Risk Mitigation: Implementing built-in checks to test models for
accuracy, bias, and fairness.
• Compliance: Advanced techniques for de-identifying sensitive
text while preserving data utility.
• Efficiency: Writing robust annotation guidelines to ensure
labeling consistency across teams.
• Customization: Achieving accurate custom model training and
deployment with a single click.
• Acceleration: Leveraging pre-trained models and auto-
suggestions to speed up annotation dramatically.

Stop waiting for specialized teams. Overcome the learning curve and
deploy your first custom LLM this week:
Watch the Full Course (39 Videos):
https://hubs.li/Q040cxRk0
5X-LVR1vfICsCS2xlS_M6


LangTest is free, Apache 2.0 licensed, and continuously updated.Used by pharma, hospitals, and academia to stress-test m...
01/19/2026

LangTest is free, Apache 2.0 licensed, and continuously updated.

Used by pharma, hospitals, and academia to stress-test models that support diagnosis, documentation, and population health.

Learn more: https://hubs.li/Q03_nxYQ0

Continuous data from wearables, home-monitoring devices, or hospital-grade instruments offers a rich source for monitori...
01/14/2026

Continuous data from wearables, home-monitoring devices, or hospital-grade instruments offers a rich source for monitoring chronic conditions or early deterioration. When combined with clinical records and notes, AI-driven systems can detect patterns that merit follow-up. John Snow Labs enables secure ingestion, normalization, and analysis of device-generated time‑series data alongside traditional clinical information.

Read more: https://hubs.li/Q03-M8L-0
ai-revolutionizing-continuous-monitoring/


Conversational AI and virtual health assistants can support symptomtriage, appointment scheduling, medication adherence ...
01/14/2026

Conversational AI and virtual health assistants can support symptom
triage, appointment scheduling, medication adherence reminders, and
follow-up guidance. With proper governance and data-security design,
these tools extend access while reducing burden on staff. John Snow Labs helps health systems build compliant, context-aware assistant solutions that respect privacy and clinical safety.

Why Medical Chatbots Are Essential in Modern Healthcare, Read more:
https://hubs.li/Q03-Md6x0
modern-healthcare/


From Raw Data to OMOP Gold: Architecting the Secondary Use Data Platform for Clinical AI Agents with David Cecchini, Sen...
01/12/2026

From Raw Data to OMOP Gold: Architecting the Secondary Use Data Platform for Clinical AI Agents
with David Cecchini, Senior Data Scientist, John Snow Labs

Effective AI Agents for the secondary use of clinical data depend on a robust, structured, and traceable data foundation. Without this, even the most advanced models cannot deliver reliable, explainable, or auditable outcomes.

Join us on Wednesday, January 28, 2026, at 2:00 PM ET for a technical and architectural discussion on designing an end-to-end data platform that enables AI Agents to operate accurately, securely, and at scale in healthcare environments.

This webinar will present a reference architecture positioning the Patient Journeys Platform as a critical data preparation layer—bridging raw, multimodal clinical data and Agent-ready datasets aligned to the OMOP Common Data Model.

Key topics include:

• Ingestion of multimodal clinical data from heterogeneous sources
• Scalable processing for de-identification, information extraction, and medical coding
• Transformation into enriched OMOP-compliant datasets
• Bronze, Silver, and Gold data layers and their role in maintaining full data provenance
• How structured data enables auditable clinical reasoning and inference

We will also demonstrate how identified and de-identified, Agent-ready datasets support high-value secondary use cases such as cohort discovery and clinical trial matching, while clearly differentiating secondary use AI platforms from primary use systems such as EHRs and ambient documentation tools.

🔗 Register here:
https://hubs.li/Q03-gk-x0

One RADV audit can trigger millions in extrapolated risk. Despite this catastrophic exposure, many health plans still re...
01/11/2026

One RADV audit can trigger millions in extrapolated risk.

Despite this catastrophic exposure, many health plans still rely on manual handoffs and fragmented PDF checklists.

Martlet AI offers a single control surface for the full RADV lifecycle:

• Intake and Evidence Triage
• Packet Generation and Submission
• Challenge and Oversight

With exposure modeling and defensibility built in, you can strategically focus on the few HCCs that matter, before the clock starts ticking.

Stop managing risk manually. Get audit-ready now:

Learn more: https://hubs.li/Q03-gj7W0


Generic LLMs are a liability in the clinical environment. Healthcare demands domain-mastered intelligence. Medical LLMs ...
01/11/2026

Generic LLMs are a liability in the clinical environment. Healthcare demands domain-mastered intelligence.

Medical LLMs are purpose-built to meet rigorous clinical standards:

• Domain-Mastery: Trained exclusively on proprietary, specialized medical and scientific data.
• Core Capabilities: Optimized for clinical summarization, accurate Q&A, and compliant content generation.
• Explainability & Trust: Provides source citation (PubMed, medRxiv) to support clinical validation and auditability.
• Safety & Compliance: Engineered for robust safety, security, and context-aware regulatory compliance.

Experience the precision difference in our live demo. https://hubs.li/Q03-gfM40

Address

16192 Coastal Highway Lewes, DE
Delaware City, DE
19958

Telephone

+13027865227

Website

Alerts

Be the first to know and let us send you an email when John Snow Labs posts news and promotions. Your email address will not be used for any other purpose, and you can unsubscribe at any time.

Contact The Practice

Send a message to John Snow Labs:

Shortcuts

Share

Share on Facebook Share on Twitter Share on LinkedIn
Share on Pinterest Share on Reddit Share via Email
Share on WhatsApp Share on Instagram Share on Telegram

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