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.

12/22/2025

Whether you’re working with oncology reports, mental‑health narratives, or large EHR archives, manually abstracting data is slow, error‑prone, and never future‑proof.

With John Snow Labs’ curated pipeline, you get:
• Pre‑trained, specialty‑specific models (oncology, behavioral health, SDOH)
• Deterministic, reproducible outputs suitable for research, regulatory submission, and analytics
• Capability to scale across millions of records without compromising quality

Transform messy data into actionable insight with a trusted foundation.

Learn more: https://hubs.li/Q03YJhJR0

12/22/2025

Healthcare organizations can significantly reduce breach risk, while improving cost efficiency and performance by adopting secure multi-cloud architectures that clearly separate PHI and non-PHI workloads.

In this piece, Geoffrey Glaser, Partner Manager, shares practical guidance on building trusted AI systems grounded in an organization’s own data systems designed to support real clinical and operational improvements without compromising security or compliance.

Read the full perspective here:
https://hubs.li/Q03YJjyY0

12/21/2025

In life sciences, AI accelerates early‑stage tasks: literature review, hypothesis generation, data synthesis, and candidate prioritization.

John Snow Labs offers tools and pipelines for researchers to manage and analyze large-scale preclinical and clinical data, improving traceability, reproducibility, and speed across R&D workflows.

Empower your research with AI‑driven data infrastructure built for life sciences.

Learn more: https://hubs.li/Q03YJhFF0

12/21/2025

Care doesn’t end at hospital discharge. AI helps keep it going.

AI‑enabled remote patient monitoring (RPM) is emerging as a powerful tool for chronic care, post‑discharge follow‑up, and early detection of deterioration.

At John Snow Labs, our NLP and predictive‑analytics capabilities can integrate RPM data (vitals, patient‑reported outcomes, sensor data) with medical history, enabling care teams to identify risks early, intervene proactively, and improve long‑term outcomes.

Discover how RPM + AI can extend quality care beyond hospital walls →
Read more: https://hubs.li/Q03YJj1N0

12/20/2025

Patients are sharing feedback; just not in forms or surveys.
Our Voice of the Patient model extracts healthcare-relevant terms from social posts, reviews, and messages.

Used for engagement, quality monitoring, and safety analysis, it helps surface insights that otherwise go untracked.

Explore the demo:
🔗 https://hubs.li/Q03YJgvx0

12/20/2025

Standard de-ID tools rely on pattern matching. Our system identifies over 30 PHI entity types using deep learning, handles contextual ambiguities, and ensures low false negatives, even in edge cases like rare names or nested dates.

Go beyond surface-level privacy.

Learn more: https://hubs.li/Q03YJfYZ0

12/20/2025

Healthcare LLMs should be designed around real-world use.
We build medical language models that:
• Handle noisy, unstructured inputs
• Work with clinical terminology standards
• Provide full transparency through citations

This improves trust, explainability, and real-world safety.
Try a live example:
🔗 Medical LLM demo: https://hubs.li/Q03YJdGQ0

12/19/2025

Healthcare leaders are moving from pilots to real production use of AI across:
• Clinical decision support
• Document processing
• Risk prediction and patient stratification
We help teams deploy responsibly, with models, pipelines, and compliance built in.
Learn how to scale AI with confidence:
Schedule a demo: https://hubs.li/Q03YJf890

12/19/2025

Our domain-specific are trained on curated clinical data and designed to work with structured and unstructured healthcare information.

• Summarization of multi-document cases
• Visual and text input compatibility
• RAG-ready pipelines for real-world workflows

See how purpose-built models change what's possible in clinical settings:
🔗 Live Demo: https://hubs.li/Q03YJcCt0

12/19/2025

Are you solving real problems with AI in healthcare? We want to hear from you.

Join global leaders and innovators at the forefront of applied healthcare AI. We’re looking for in-depth sessions on:
• Real-world clinical AI deployments
• Integrating multimodal patient data (text, images, genomics)
• Genomics & drug discovery with production-ready models
• LLMs powering payer systems and healthcare operations
• AI governance: red teaming, audit defense, and compliance

Share your insights. Connect with peers. Lead the conversation.

🔗 Submit your talk today: https://hubs.li/Q03YJbQf0

12/18/2025

includes features built specifically for high-stakes environments:

• Structured PHI de-identification workflows
• Bulk assignment and task management
• Streamlined UI for reduced error risk
Human-in-the-loop isn’t optional in healthcare AI; it’s foundational.

Read more:
🔗 https://hubs.li/Q03YsBjY0

12/18/2025

AI in healthcare must be trusted.
LangTest is the open-source framework that benchmarks clinical NLP models for:
• Bias
• Robustness
• Fairness
• Accuracy
Learn more: https://hubs.li/Q03YsyFt0

Address

16192 Coastal Highway Lewes, DE
Delaware City, DE
19958

Telephone

+13027865227

Website

https://www.johnsnowlabs.com/

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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