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.

Radiology isn’t just imaging: it’s a data challenge.At RSNA 2025, we’re showing what happens when medical vision, clinic...
11/20/2025

Radiology isn’t just imaging: it’s a data challenge.

At RSNA 2025, we’re showing what happens when medical vision, clinical NLP, and responsible generative AI work together to streamline the entire radiology patient journey.
📍Live at the AWS Booth (Chicago)
🗓️ Nov 30 – Dec 4, 2025
🧠 Talk: Radiology Patient Journey Automation with Generative AI
We’ll be demonstrating Radiology Patient Journey Automation with Generative AI and Total Patient Journey and DICOM De-identification workflows powered by AWS HealthImaging, AWS HealthLake, and Amazon SageMaker.

You can book a meeting with our Team here: https://hubs.li/Q03VjR660

🕐 Demo Schedule:
• Nov 30–Dec 2: 1:30 PM–5:00 PM
• Dec 3: 10:00 AM–1:30 PM

It’s happening today.Manual cancer registry workflows delay research, limit scalability, and overwhelm teams. But that n...
11/19/2025

It’s happening today.

Manual cancer registry workflows delay research, limit scalability, and overwhelm teams. But that no longer has to be the case.

Join Veysel Kocaman today at 2 PM ET for a deep-dive webinar on solving the cancer data bottleneck with AI-powered abstraction.

What you’ll learn:
• Why traditional LLMs can’t meet regulatory-grade accuracy
• How to filter 80,000+ pathology reports to find the 4% that matter
• What it takes to scale NAACCR & SEER-compliant automation
• How AI + expert validation delivers speed and auditability

This is about real-world implementation, not hype.

🔗 Register before it starts: https://www.johnsnowlabs.com/sign-up-webinar-automating-cancer-registries-overcoming-data-bottlenecks-with-ai-powered-abstraction/

Eugene Ugur Sayan joins Oksana Meier on 𝗧𝗵𝗲 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗔𝗜 𝗣𝗼𝗱𝗰𝗮𝘀𝘁 to discuss building and operating large-scale AI syste...
11/18/2025

Eugene Ugur Sayan joins Oksana Meier on 𝗧𝗵𝗲 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗔𝗜 𝗣𝗼𝗱𝗰𝗮𝘀𝘁 to discuss building and operating large-scale AI systems in one of the most complex regulatory environments.

As Founder and CEO of Softheon, Eugene oversees technology infrastructure that processes millions of healthcare transactions while maintaining strict accuracy and compliance standards.

Episode insights:

👉 Infrastructure requirements for mission-critical AI applications
👉 Orchestrating 1,300 specialized AI agents across healthcare workflows
👉 Data center strategy for sensitive healthcare information
👉 Adapting AI systems to 50+ different state regulatory frameworks
👉 Future trends in consumer healthcare technology

The conversation offers practical perspectives on enterprise AI deployment, particularly relevant for organizations in regulated sectors.

Eugene's experience spans from early patent work on intelligent software agents to current implementations of modern AI capabilities in production environments.

This episode is part of our ongoing series exploring real-world AI applications in healthcare technology.

🎧 𝗟𝗶𝘀𝘁𝗲𝗻 𝗻𝗼𝘄: https://hubs.li/Q03TMXlH0

📍 On the ground at - and ready to connect.👋 Find us at our booth or message to meet.
11/18/2025

📍 On the ground at - and ready to connect.

👋 Find us at our booth or message to meet.

Cancer registries play a critical role in public health, but still rely on manual processes that delay insights by month...
11/17/2025

Cancer registries play a critical role in public health, but still rely on manual processes that delay insights by months or even years.

Join us and Kocaman for a webinar exploring how AI can accelerate cancer registry workflows without compromising accuracy or compliance.

🗓️ Wednesday, November 19 @ 2pm ET
🎙️ Automating Cancer Registries: Overcoming Data Bottlenecks with AI-Powered Abstraction

What we’ll cover:
• The bottleneck: Why human-only abstraction limits scale
• Why general-purpose LLMs fall short for SEER & NAACCR compliance
• How multimodal, longitudinal data is handled with healthcare-specific AI
• John Snow Labs’ hybrid approach: domain-trained LLMs + expert validation

🔗 https://www.johnsnowlabs.com/sign-up-webinar-automating-cancer-registries-overcoming-data-bottlenecks-with-ai-powered-abstraction/

Healthcare AI must earn trust through governance. This post explores how to responsibly develop AI systems that balance ...
11/15/2025

Healthcare AI must earn trust through governance.
This post explores how to responsibly develop AI systems that balance data innovation with patient privacy and regulatory compliance.
📘 Read the approach: https://hubs.li/Q03T4jZg0

Most medical chatbots stop at surface-level answers. Ours goes further, with citations, explainability, and daily update...
11/15/2025

Most medical chatbots stop at surface-level answers. Ours goes further, with citations, explainability, and daily updates.

🧠 Trained on domain-specific medical models
📚 Sources every response (PubMed, medRxiv, more)
🕵️ Transparent logic & audit-ready answers
🏥 On-prem or SaaS—enterprise ready

This isn’t ChatGPT with medical terms, it’s purpose-built for clinicians, researchers, and patients.

Try it now:
🔗 https://hubs.li/Q03T42Fl0

No-Code Model Tuning with on For developers and ML engineers, model tuning often means time-consuming scripts and re...
11/14/2025

No-Code Model Tuning with on

For developers and ML engineers, model tuning often means time-consuming scripts and repeated iterations. Generative AI Lab simplifies the process, bringing speed, precision, and flexibility to your workflow, all without writing a single line of code.

Here’s what you can do:
• No-Code, Guided Model Training
– Choose model type & embeddings
– Set training parameters visually
– Toggle versioning and active learning

• Fine-Tune Key Parameters
– Adjust epochs, learning rate, and validation split, directly in the UI

• Version Control for Iterative Tuning
– Every model version is tracked automatically
– Compare performance and deploy the best model in a click

• Dataset Sampling for Smarter Training
– Define sample sizes
– Reduce training time
– Improve generalization

• Built-In Evaluation Tools
– View precision, recall, F1 scores, confusion matrices
– Benchmark with visual summaries

• LangTest Integration
– Evaluate for accuracy, fairness, bias, robustness, code-free

• AI-Powered Data Augmentation
– Text case variation, typo injection, and synthetic templated data, all automated

• End-to-End Tuning Workflow
– Prepare, configure, train, evaluate, adjust, version, deploy, all within one no-code platform

Explore the precision of manual tuning, minus the manual part.

🔹 Available on AWS (): https://hubs.li/Q03T3RbT0

We don’t need more AI laws; we need leaders who understand the ones we already have. In this CIO article, the real chall...
11/14/2025

We don’t need more AI laws; we need leaders who understand the ones we already have.
In this CIO article, the real challenge isn’t regulatory scarcity. It’s AI literacy.
AI systems are already covered by existing frameworks, from HIPAA and the Fair Credit Reporting Act to NIST guidelines and international standards like the EU AI Act. Yet too many decisions are shaped by hype or fear, not by how these systems actually work.

This piece lays out why:
• Regulatory fatigue is outpacing enforcement
• Symbolic legislation doesn’t solve operational risk
• AI compliance is already mandatory in healthcare, finance and cloud infrastructure
• Leadership, not legislation, is the missing piece

The path forward is not more regulation. It’s understanding, applying, and enforcing the ones that exist.

Read the full article:
https://hubs.li/Q03T3WrN0

In clinical trials, SDTM mapping ensures standardized submissions to regulators like the FDA. But if done carelessly, it...
11/13/2025

In clinical trials, SDTM mapping ensures standardized submissions to regulators like the FDA. But if done carelessly, it can also expose sensitive patient data.
In a recent Forbes article, David Talby and other members of the Forbes Technology Council outline best practices for safeguarding privacy during SDTM mapping.

These include:
• Using pseudonymization and synthetic data
• Embedding AI-driven anomaly detection
• Deploying ephemeral, containerized environments
• Implementing strict role-based access and audit logging
• Tailoring de-identification for CRO-specific use cases

Read the full article:
https://hubs.li/Q03T3NV80

Family history holds untapped diagnostic value. See how bridges historical and current patient data to identify hidden...
11/13/2025

Family history holds untapped diagnostic value.
See how bridges historical and current patient data to identify hidden risks and support preventive care strategies.

Read the full breakdown: https://hubs.li/Q03T3Fzj0

📋 Streamline AI Project Management with For AI Product and Project Managers, scaling annotation and model training pro...
11/09/2025

📋 Streamline AI Project Management with

For AI Product and Project Managers, scaling annotation and model training projects means balancing speed, quality, and compliance. Generative AI Lab simplifies complex operations with intelligent workflows, bulk task tools, and built-in audit trails, all in a no-code platform that ensures accuracy and accountability at scale.

Whether managing thousands of annotations, tracking model versions, or coordinating large teams, Generative AI Lab keeps your projects efficient, transparent, and compliant.

🧩 Visual Tools for Oversight
• Comparison Views: Instantly highlight annotation differences to maintain quality across large teams.
• Label Visualization: Random label colors and auto-expanded tags improve navigation and reviewer clarity.

🔐 Secure Workflows for Sensitive Data
• Two-Step De-Identification: Identify PHI/PII with AI, then review and approve before removal, maintaining compliance across healthcare, finance, and legal projects.

📈 Integrated Model Training and Tracking
• Three-Step Training Wizard: Configure, launch, and monitor model training directly in the interface.
• Model Versioning: Automatically save and compare model iterations (v1, v2, etc.) to track progress and improvements.

🔁 End-to-End Workflow
Set up projects → Import data → Assign work → Monitor activity → Control quality → Train and version models → Optimize performance.

With Generative AI Lab, you gain more than annotation tools — you gain an AI project management platform built for control, visibility, and scale.

💡 Manage smarter, move faster, and stay fully accountable with Generative AI Lab.

🔹 [Generative AI Lab on AWS] https://hubs.li/Q03S6hy50
🔹 [Generative AI Lab on Azure] https://hubs.li/Q03S6nJR0

Address

16192 Coastal Highway Lewes, DE
Delaware City, DE
19958

Telephone

+13027865227

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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