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https://catalogartifact.azureedge.net/publicartifacts/ltim.ltimindtree_dataandai_mlr_review-e45670ae-1e55-4a4d-8c6d-bd06478ed291/image0_LTM216X216px.png

Overview Additional information

This GenAI application helps life sciences teams improve medical, legal, and regulatory review using Microsoft Azure. It automates key compliance checks against U.S. Food and Drug Administration (FDA) guidance, reduces manual review effort, and improves the speed and consistency of content workflows.

It analyzes advertisement images for prescription and over-the-counter products, extracts text and visual attributes, and compares them against defined review criteria. The solution also supports content creation and language conversion, helping teams move faster while improving quality and control across regulated communications.

Application Overview

Compliance Scoring: Extracts text and features from advertisement images and compares them against U.S. FDA guidance to generate a compliance score across areas such as warnings, side effects, adverse reactions, effectiveness, language, and readability.

Content Generation: Supports creation of emails, social posts tailored to specific age groups, and other content assets to reduce manual drafting effort.

Language Conversion: Helps teams adapt content across languages, including English-to-Spanish translation, to support broader communication needs.

Why Microsoft Azure

Scalability and Flexibility: Supports large data volumes and complex AI workloads without compromising performance.

Advanced AI Capabilities: Uses Azure AI services, including Azure OpenAI, to support image-to-text and text-to-text workflows that strengthen compliance review and content creation.

Security and Compliance: Provides enterprise-grade security and compliance controls that are critical for regulated life sciences environments.

OpenAI Integration: Supports stronger image analysis and natural language processing through Azure’s integration with OpenAI models.

Cost Efficiency: Uses Azure’s pay-as-you-go and cost management capabilities to help control spend while scaling usage.

Project Highlights

Azure Virtual Machines: Provide the compute foundation needed to support model performance, availability, and reliability.

Cloud-Native Data and Analytics: Use Azure services for data storage, processing, and analytics to support model training and deployment.

GenAI for Compliance Review: Apply image-to-text large language model workflows to evaluate promotional content against regulatory expectations more efficiently.

Content Creation Support: Help teams generate targeted content and language variants from the same application environment.

Enhanced User Interface: Improve usability so reviewers can navigate key functions quickly and work more efficiently.

Challenges and Solutions

Data Privacy and Security: Protect sensitive medical and promotional content through Azure security capabilities and compliance controls.

Scalability: Support growth in users and workloads through Azure’s elastic infrastructure.

Integration With Existing Systems: Reduce integration friction with systems such as Veeva Vault and SharePoint through Azure integration services.

Regulatory Change: Adapt the application to changing review guidelines through ongoing updates and enhancements.

At a glance

https://catalogartifact.azureedge.net/publicartifacts/ltim.ltimindtree_dataandai_mlr_review-e45670ae-1e55-4a4d-8c6d-bd06478ed291/image1_MLR.png

LTM Data & AI Medical Legal Regulatory & Review

LTIMindtree Limited

At a glance