HealthcareAgentic AIPublic Cloud

Novo Nordisk Transforms Clinical Trials With Generative AI

Novo Nordisk· DenmarkUnity Catalog · Agent Bricks · AI/BI Genie +2

Novo Nordisk, a Denmark-headquartered global healthcare and pharmaceutical company, used the Databricks Data + AI Platform to unify previously siloed clinical trial data across its FounData and DataCore platforms. In 9 months it moved from concept to MVP, and now over 20% of its development organization actively uses clinical data via FounData. The company built a 'Co-Scientist' AI agent system on Databricks Agent Bricks, Unity Catalog and AI/BI Genie to search clinical data and surface curated insights, with an expected $157M+ in net new value and $14M in efficiency gains from optimized clinical trials over five years.

Overview

Novo Nordisk, a Denmark-headquartered global healthcare and pharmaceutical company, used the Databricks Data + AI Platform to unify previously siloed clinical trial data across its FounData and DataCore platforms. In 9 months it moved from concept to MVP, and now over 20% of its development organization actively uses clinical data via FounData. The company built a 'Co-Scientist' AI agent system on Databricks Agent Bricks, Unity Catalog and AI/BI Genie to search clinical data and surface curated insights, with an expected $157M+ in net new value and $14M in efficiency gains from optimized clinical trials over five years.

This entry has 12 published fields tied to exact passages in an immutable source capture.

Inspect the highlighted source

The challenge

Novo Nordisk faced challenges in efficiently managing and accessing its vast clinical trial data due to siloed systems — obstacles that hindered collaboration, slowed research timelines and created bottlenecks in decision-making.

The solution

Agentic AIConversational AI

Reported business value

Novo Nordisk now has 1,000 users actively engaging with FounData, and over 20% of its development organization now actively uses clinical data via FounData, compared to just a fraction before.

Sources

Open any source and check the claim yourself — that is the point of the register.

This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)

Related entries

Other healthcare entries in the register.

All entries
HealthcareGenerative AIPublic Cloud

Novo Nordisk builds AI drug discovery platform on Azure with Microsoft Research

Novo Nordisk partnered with Microsoft Research to build an AI platform on Azure AI and data stacks spanning regulatory affairs, early research, drug discovery and trial design, using Azure OpenAI Service, Azure Cosmos DB and Azure Kubernetes Service, with Power BI and Power Apps for collaboration. The platform includes a copilot for researchers, shared reasoning-chain templates, and governance/auditing of how data and models are used. The teams published early results on predictive AI models for cardiovascular disease risk detection, including an algorithm that Novo Nordisk says predicts patients' cardiovascular risk better than the best clinical standards, drawing on more than 100 years of insulin research data.

96/100HighPrimary source
Novo Nordisk· DenmarkAzure OpenAI Service · Azure Cosmos DB · Azure Kubernetes Service +2
HealthcareNatural Language ProcessingPublic Cloud

CDPHP modernizes infrastructure and improves medical data extraction with AWS AI/ML

CDPHP, a not-for-profit health plan serving 400,000 members in Upstate New York, used AWS services including Amazon Comprehend Medical, Amazon Textract, and Amazon SageMaker to automate its data processing pipeline for unstructured medical records and health data. The organization processed over seven million records during initial migration and now processes 3,000 electronic health records weekly. CDPHP achieved a 60% improvement in overall efficiency and reduced HEDIS report generation from 4-5 days (three data scientists) to two reports produced daily.

100/100HighPrimary source
CDPHP (Capital District Physicians' Health Plan Inc.)· United StatesAmazon Comprehend Medical · Amazon Textract · Amazon SageMaker
HealthcareGenerative AIUnknown

Mayo Clinic deploys NVIDIA DGX SuperPOD to accelerate pathology foundation models

Mayo Clinic deployed an NVIDIA DGX SuperPOD with NVIDIA DGX B200 systems to support foundation model development for pathomics, drug discovery and precision medicine. In partnership with Aignostics, Mayo Clinic built the Atlas pathology foundation model, trained on more than 1.2 million histopathology whole-slide images. The new infrastructure is reducing four weeks of pathology slide analysis work to one week.

92/100HighPrimary source
Mayo Clinic· United StatesNVIDIA DGX SuperPOD · NVIDIA DGX B200 · NVIDIA Blackwell
HealthcareGenerative AIPublic Cloud

Myriad Genetics speeds document processing with AWS GenAI Intelligent Document Processing Accelerator

Myriad Genetics partnered with the AWS Generative AI Innovation Center to replace an Amazon Textract/Comprehend pipeline with Amazon Bedrock foundation models (Nova Pro for classification, Nova Premier for extraction) using the open-source GenAI IDP Accelerator. Document classification accuracy rose from 94% to 98%, classification cost per page fell 77% (3.1 cents to 0.7 cents), and classification time fell 80% (8.5 minutes to 1.5 minutes per document). Automated key information extraction reached 90% accuracy matching the manual baseline, with a projected $132K in annual savings and 300 hours saved monthly across 9,000 prior authorizations in the Women's Health unit alone.

96/100HighPrimary source
Myriad GeneticsAmazon Bedrock · Amazon Nova Pro · Amazon Nova Premier +2

Was this helpful?

Your feedback helps us improve our use case database