Articles tagged with “risk-management”

Learn QMS requirements for AI/ML medical devices, including FDA regulations, ISO 13485, data lifecycle management, and model validation strategies.

Review the ISPE GAMP AI Guide for validating machine learning in GxP. Learn the risk-based framework for data integrity and regulatory compliance.

Explore AI governance frameworks for pharmaceutical companies. Learn to align AI with GxP, FDA regulations, and data integrity standards for safe adoption.

Understand EU MDR and AI Act compliance for AI medical devices. Explains classification, conformity assessment, and technical documentation requirements.

Learn cybersecurity requirements for AI medical devices. Covers FDA guidance, EU regulations, SBOM mandates, and defenses against adversarial AI attacks.

Learn AI/ML validation in GxP using GAMP 5 2nd Ed. and FDA CSA. Explains risk-based lifecycles, data integrity, and compliance for adaptive models.

Learn about ISO 13485:2016, the quality management system (QMS) standard for medical devices. This guide explains its requirements, purpose, and role in complia

Examines the 2025 AI regulatory frameworks for biopharma in the U.S., EU, U.K., and Canada. Details compliance obligations for GenAI, GxP, and SaMD.

An overview of the IEC 62304 standard for medical device software. This guide explains its purpose, scope, and required life cycle processes for safety.

An overview of pharmaceutical KPIs for quality, compliance, and operational excellence. Explores metrics for R&D, manufacturing, and regulatory standards.

Compare GAMP 4 and GAMP 5. Learn key differences in their approaches to system validation, risk management, system classification, and integration of modern technologies. Updated with 2025 FDA CSA guidance and ISPE GAMP AI Guide.

Comprehensive guide on RTSM best practices for Phase 3 trials, covering randomization strategies, global supply chain management, regulatory considerations (FDA, ICH E6(R3)), system integration, risk mitigation, and future trends including AI-driven forecasting and decentralized trial support.